CI Update
Build.Reason:Manual by Alma Jenks Build.Url:https://apidrop.visualstudio.com/Content%20CI/_build/results?buildId=298236&view=results source_repo.branch:master source_repo.csvPath:bundlepackages/ml-dotnet source_repo.url:https://apidrop.visualstudio.com/binaries/_git/mrefconfig
This commit is contained in:
VSC-Service-Account
Родитель
f9fdf80ad3
Коммит
739f61aa08
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
|
|
@ -1,987 +0,0 @@
|
|||
<Type Name="ArrowStringDataFrameColumn" FullName="Microsoft.Data.Analysis.ArrowStringDataFrameColumn">
|
||||
<TypeSignature Language="C#" Value="public class ArrowStringDataFrameColumn : Microsoft.Data.Analysis.DataFrameColumn, System.Collections.Generic.IEnumerable<string>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit ArrowStringDataFrameColumn extends Microsoft.Data.Analysis.DataFrameColumn implements class System.Collections.Generic.IEnumerable`1<string>, class System.Collections.IEnumerable" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.ArrowStringDataFrameColumn" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class ArrowStringDataFrameColumn
Inherits DataFrameColumn
Implements IEnumerable(Of String)" />
|
||||
<TypeSignature Language="F#" Value="type ArrowStringDataFrameColumn = class
 inherit DataFrameColumn
 interface seq<string>
 interface IEnumerable" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.Data.Analysis.DataFrameColumn</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface>
|
||||
<InterfaceName>System.Collections.Generic.IEnumerable<System.String></InterfaceName>
|
||||
</Interface>
|
||||
<Interface>
|
||||
<InterfaceName>System.Collections.IEnumerable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
<Docs>
|
||||
<summary>
|
||||
An immutable column to hold Arrow style strings
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public ArrowStringDataFrameColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.#ctor(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String)" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.ArrowStringDataFrameColumn : string -> Microsoft.Data.Analysis.ArrowStringDataFrameColumn" Usage="new Microsoft.Data.Analysis.ArrowStringDataFrameColumn name" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column.</param>
|
||||
<summary>
|
||||
Constructs an empty <see cref="T:Microsoft.Data.Analysis.ArrowStringDataFrameColumn" /> with the given <paramref name="name" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public ArrowStringDataFrameColumn (string name, ReadOnlyMemory<byte> values, ReadOnlyMemory<byte> offsets, ReadOnlyMemory<byte> nullBits, int length, int nullCount);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, valuetype System.ReadOnlyMemory`1<unsigned int8> values, valuetype System.ReadOnlyMemory`1<unsigned int8> offsets, valuetype System.ReadOnlyMemory`1<unsigned int8> nullBits, int32 length, int32 nullCount) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.#ctor(System.String,System.ReadOnlyMemory{System.Byte},System.ReadOnlyMemory{System.Byte},System.ReadOnlyMemory{System.Byte},System.Int32,System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, values As ReadOnlyMemory(Of Byte), offsets As ReadOnlyMemory(Of Byte), nullBits As ReadOnlyMemory(Of Byte), length As Integer, nullCount As Integer)" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.ArrowStringDataFrameColumn : string * ReadOnlyMemory<byte> * ReadOnlyMemory<byte> * ReadOnlyMemory<byte> * int * int -> Microsoft.Data.Analysis.ArrowStringDataFrameColumn" Usage="new Microsoft.Data.Analysis.ArrowStringDataFrameColumn (name, values, offsets, nullBits, length, nullCount)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="values" Type="System.ReadOnlyMemory<System.Byte>" />
|
||||
<Parameter Name="offsets" Type="System.ReadOnlyMemory<System.Byte>" />
|
||||
<Parameter Name="nullBits" Type="System.ReadOnlyMemory<System.Byte>" />
|
||||
<Parameter Name="length" Type="System.Int32" />
|
||||
<Parameter Name="nullCount" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column.</param>
|
||||
<param name="values">The Arrow formatted string values in this column.</param>
|
||||
<param name="offsets">The Arrow formatted offets in this column.</param>
|
||||
<param name="nullBits">The Arrow formatted null bits in this column.</param>
|
||||
<param name="length">The length of the column.</param>
|
||||
<param name="nullCount">The number of <see langword="null" /> values in this column.</param>
|
||||
<summary>
|
||||
Constructs an <see cref="T:Microsoft.Data.Analysis.ArrowStringDataFrameColumn" /> with the given <paramref name="name" />, <paramref name="length" /> and <paramref name="nullCount" />. The <paramref name="values" />, <paramref name="offsets" /> and <paramref name="nullBits" /> are the contents of the column in the Arrow format.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="AddDataViewColumn">
|
||||
<MemberSignature Language="C#" Value="protected internal override void AddDataViewColumn (Microsoft.ML.DataViewSchema.Builder builder);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyorassemblyhidebysig virtual instance void AddDataViewColumn(class Microsoft.ML.DataViewSchema/Builder builder) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.AddDataViewColumn(Microsoft.ML.DataViewSchema.Builder)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Friend Overrides Sub AddDataViewColumn (builder As DataViewSchema.Builder)" />
|
||||
<MemberSignature Language="F#" Value="override this.AddDataViewColumn : Microsoft.ML.DataViewSchema.Builder -> unit" Usage="arrowStringDataFrameColumn.AddDataViewColumn builder" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="builder" Type="Microsoft.ML.DataViewSchema+Builder" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="builder">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Apply">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.ArrowStringDataFrameColumn Apply (Func<string,string> func);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.ArrowStringDataFrameColumn Apply(class System.Func`2<string, string> func) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Apply(System.Func{System.String,System.String})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Apply (func As Func(Of String, String)) As ArrowStringDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.Apply : Func<string, string> -> Microsoft.Data.Analysis.ArrowStringDataFrameColumn" Usage="arrowStringDataFrameColumn.Apply func" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.ArrowStringDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="func" Type="System.Func<System.String,System.String>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="func">The function to apply</param>
|
||||
<summary>
|
||||
Applies a function to all the values
|
||||
</summary>
|
||||
<returns>A <see cref="T:Microsoft.Data.Analysis.ArrowStringDataFrameColumn" /> containing the new string values</returns>
|
||||
<remarks>This function converts from UTF-8 to UTF-16 strings</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Clamp<U>">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrameColumn Clamp<U> (U min, U max, bool inPlace = false);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrameColumn Clamp<U>(!!U min, !!U max, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Clamp``1(``0,``0,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Clamp(Of U) (min As U, max As U, Optional inPlace As Boolean = false) As DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.Clamp : 'U * 'U * bool -> Microsoft.Data.Analysis.DataFrameColumn" Usage="arrowStringDataFrameColumn.Clamp (min, max, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="U" />
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="min" Type="U" />
|
||||
<Parameter Name="max" Type="U" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="U">To be added.</typeparam>
|
||||
<param name="min">To be added.</param>
|
||||
<param name="max">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Clone">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrameColumn Clone (Microsoft.Data.Analysis.DataFrameColumn mapIndices = default, bool invertMapIndices = false, long numberOfNullsToAppend = 0);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrameColumn Clone(class Microsoft.Data.Analysis.DataFrameColumn mapIndices, bool invertMapIndices, int64 numberOfNullsToAppend) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Clone(Microsoft.Data.Analysis.DataFrameColumn,System.Boolean,System.Int64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Clone (Optional mapIndices As DataFrameColumn = Nothing, Optional invertMapIndices As Boolean = false, Optional numberOfNullsToAppend As Long = 0) As DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.Clone : Microsoft.Data.Analysis.DataFrameColumn * bool * int64 -> Microsoft.Data.Analysis.DataFrameColumn" Usage="arrowStringDataFrameColumn.Clone (mapIndices, invertMapIndices, numberOfNullsToAppend)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="mapIndices" Type="Microsoft.Data.Analysis.DataFrameColumn" />
|
||||
<Parameter Name="invertMapIndices" Type="System.Boolean" />
|
||||
<Parameter Name="numberOfNullsToAppend" Type="System.Int64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="mapIndices">To be added.</param>
|
||||
<param name="invertMapIndices">To be added.</param>
|
||||
<param name="numberOfNullsToAppend">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseEquals">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool> ElementwiseEquals (Microsoft.Data.Analysis.DataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<bool> ElementwiseEquals(class Microsoft.Data.Analysis.DataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.ElementwiseEquals(Microsoft.Data.Analysis.DataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function ElementwiseEquals (column As DataFrameColumn) As PrimitiveDataFrameColumn(Of Boolean)" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseEquals : Microsoft.Data.Analysis.DataFrameColumn -> Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool>" Usage="arrowStringDataFrameColumn.ElementwiseEquals column" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.DataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseEquals">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool> ElementwiseEquals (string value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<bool> ElementwiseEquals(string value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.ElementwiseEquals(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseEquals (value As String) As PrimitiveDataFrameColumn(Of Boolean)" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseEquals : string -> Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool>" Usage="arrowStringDataFrameColumn.ElementwiseEquals value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>
|
||||
Returns a boolean column that is the result of an elementwise equality comparison of each value in the column with <paramref name="value" /></summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseEquals<T>">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool> ElementwiseEquals<T> (T value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<bool> ElementwiseEquals<T>(!!T value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.ElementwiseEquals``1(``0)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function ElementwiseEquals(Of T) (value As T) As PrimitiveDataFrameColumn(Of Boolean)" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseEquals : 'T -> Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool>" Usage="arrowStringDataFrameColumn.ElementwiseEquals value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean></ReturnType>
|
||||
</ReturnValue>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="T" />
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="T" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="T">To be added.</typeparam>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseNotEquals">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool> ElementwiseNotEquals (Microsoft.Data.Analysis.DataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<bool> ElementwiseNotEquals(class Microsoft.Data.Analysis.DataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.ElementwiseNotEquals(Microsoft.Data.Analysis.DataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function ElementwiseNotEquals (column As DataFrameColumn) As PrimitiveDataFrameColumn(Of Boolean)" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseNotEquals : Microsoft.Data.Analysis.DataFrameColumn -> Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool>" Usage="arrowStringDataFrameColumn.ElementwiseNotEquals column" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.DataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseNotEquals">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool> ElementwiseNotEquals (string value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<bool> ElementwiseNotEquals(string value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.ElementwiseNotEquals(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseNotEquals (value As String) As PrimitiveDataFrameColumn(Of Boolean)" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseNotEquals : string -> Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool>" Usage="arrowStringDataFrameColumn.ElementwiseNotEquals value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>
|
||||
Returns a boolean column that is the result of an elementwise not-equal comparison of each value in the column with <paramref name="value" /></summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseNotEquals<T>">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool> ElementwiseNotEquals<T> (T value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<bool> ElementwiseNotEquals<T>(!!T value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.ElementwiseNotEquals``1(``0)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function ElementwiseNotEquals(Of T) (value As T) As PrimitiveDataFrameColumn(Of Boolean)" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseNotEquals : 'T -> Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool>" Usage="arrowStringDataFrameColumn.ElementwiseNotEquals value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean></ReturnType>
|
||||
</ReturnValue>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="T" />
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="T" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="T">To be added.</typeparam>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FillNulls">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.ArrowStringDataFrameColumn FillNulls (string value, bool inPlace = false);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.ArrowStringDataFrameColumn FillNulls(string value, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.FillNulls(System.String,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function FillNulls (value As String, Optional inPlace As Boolean = false) As ArrowStringDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.FillNulls : string * bool -> Microsoft.Data.Analysis.ArrowStringDataFrameColumn" Usage="arrowStringDataFrameColumn.FillNulls (value, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.ArrowStringDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.String" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FillNullsImplementation">
|
||||
<MemberSignature Language="C#" Value="protected override Microsoft.Data.Analysis.DataFrameColumn FillNullsImplementation (object value, bool inPlace);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance class Microsoft.Data.Analysis.DataFrameColumn FillNullsImplementation(object value, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.FillNullsImplementation(System.Object,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Function FillNullsImplementation (value As Object, inPlace As Boolean) As DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.FillNullsImplementation : obj * bool -> Microsoft.Data.Analysis.DataFrameColumn" Usage="arrowStringDataFrameColumn.FillNullsImplementation (value, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Object" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Filter<U>">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrameColumn Filter<U> (U min, U max);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrameColumn Filter<U>(!!U min, !!U max) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Filter``1(``0,``0)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Filter(Of U) (min As U, max As U) As DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.Filter : 'U * 'U -> Microsoft.Data.Analysis.DataFrameColumn" Usage="arrowStringDataFrameColumn.Filter (min, max)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="U" />
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="min" Type="U" />
|
||||
<Parameter Name="max" Type="U" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="U">To be added.</typeparam>
|
||||
<param name="min">To be added.</param>
|
||||
<param name="max">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetArrowField">
|
||||
<MemberSignature Language="C#" Value="protected internal override Apache.Arrow.Field GetArrowField ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyorassemblyhidebysig virtual instance class Apache.Arrow.Field GetArrowField() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetArrowField" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Friend Overrides Function GetArrowField () As Field" />
|
||||
<MemberSignature Language="F#" Value="override this.GetArrowField : unit -> Apache.Arrow.Field" Usage="arrowStringDataFrameColumn.GetArrowField " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Apache.Arrow.Field</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetDataViewGetter">
|
||||
<MemberSignature Language="C#" Value="protected internal override Delegate GetDataViewGetter (Microsoft.ML.DataViewRowCursor cursor);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyorassemblyhidebysig virtual instance class System.Delegate GetDataViewGetter(class Microsoft.ML.DataViewRowCursor cursor) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetDataViewGetter(Microsoft.ML.DataViewRowCursor)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Friend Overrides Function GetDataViewGetter (cursor As DataViewRowCursor) As Delegate" />
|
||||
<MemberSignature Language="F#" Value="override this.GetDataViewGetter : Microsoft.ML.DataViewRowCursor -> Delegate" Usage="arrowStringDataFrameColumn.GetDataViewGetter cursor" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Delegate</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="cursor" Type="Microsoft.ML.DataViewRowCursor" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="cursor">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetEnumerator">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IEnumerator<string> GetEnumerator ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class System.Collections.Generic.IEnumerator`1<string> GetEnumerator() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetEnumerator" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Iterator Overridable NotOverridable Function GetEnumerator () As IEnumerator(Of String)" />
|
||||
<MemberSignature Language="F#" Value="abstract member GetEnumerator : unit -> System.Collections.Generic.IEnumerator<string>
override this.GetEnumerator : unit -> System.Collections.Generic.IEnumerator<string>" Usage="arrowStringDataFrameColumn.GetEnumerator " />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:System.Collections.Generic.IEnumerable`1.GetEnumerator</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.ArrowStringDataFrameColumn+<GetEnumerator>d__26))]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.ArrowStringDataFrameColumn+<GetEnumerator>d__26))>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerator<System.String></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns an enumerator that iterates through the string values in this column.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetEnumeratorCore">
|
||||
<MemberSignature Language="C#" Value="protected override System.Collections.IEnumerator GetEnumeratorCore ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance class System.Collections.IEnumerator GetEnumeratorCore() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetEnumeratorCore" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Function GetEnumeratorCore () As IEnumerator" />
|
||||
<MemberSignature Language="F#" Value="override this.GetEnumeratorCore : unit -> System.Collections.IEnumerator" Usage="arrowStringDataFrameColumn.GetEnumeratorCore " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.IEnumerator</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetGroupedOccurrences">
|
||||
<MemberSignature Language="C#" Value="public override System.Collections.Generic.Dictionary<long,System.Collections.Generic.ICollection<long>> GetGroupedOccurrences (Microsoft.Data.Analysis.DataFrameColumn other, out System.Collections.Generic.HashSet<long> otherColumnNullIndices);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class System.Collections.Generic.Dictionary`2<int64, class System.Collections.Generic.ICollection`1<int64>> GetGroupedOccurrences(class Microsoft.Data.Analysis.DataFrameColumn other, [out] class System.Collections.Generic.HashSet`1<int64>& otherColumnNullIndices) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetGroupedOccurrences(Microsoft.Data.Analysis.DataFrameColumn,System.Collections.Generic.HashSet{System.Int64}@)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function GetGroupedOccurrences (other As DataFrameColumn, ByRef otherColumnNullIndices As HashSet(Of Long)) As Dictionary(Of Long, ICollection(Of Long))" />
|
||||
<MemberSignature Language="F#" Value="override this.GetGroupedOccurrences : Microsoft.Data.Analysis.DataFrameColumn * HashSet -> System.Collections.Generic.Dictionary<int64, System.Collections.Generic.ICollection<int64>>" Usage="arrowStringDataFrameColumn.GetGroupedOccurrences (other, otherColumnNullIndices)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.Dictionary<System.Int64,System.Collections.Generic.ICollection<System.Int64>></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="other" Type="Microsoft.Data.Analysis.DataFrameColumn" />
|
||||
<Parameter Name="otherColumnNullIndices" Type="System.Collections.Generic.HashSet<System.Int64>" RefType="out" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="other">To be added.</param>
|
||||
<param name="otherColumnNullIndices">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetMaxRecordBatchLength">
|
||||
<MemberSignature Language="C#" Value="protected internal override int GetMaxRecordBatchLength (long startIndex);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyorassemblyhidebysig virtual instance int32 GetMaxRecordBatchLength(int64 startIndex) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetMaxRecordBatchLength(System.Int64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Friend Overrides Function GetMaxRecordBatchLength (startIndex As Long) As Integer" />
|
||||
<MemberSignature Language="F#" Value="override this.GetMaxRecordBatchLength : int64 -> int" Usage="arrowStringDataFrameColumn.GetMaxRecordBatchLength startIndex" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="startIndex" Type="System.Int64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="startIndex">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetReadOnlyDataBuffers">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IEnumerable<ReadOnlyMemory<byte>> GetReadOnlyDataBuffers ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class System.Collections.Generic.IEnumerable`1<valuetype System.ReadOnlyMemory`1<unsigned int8>> GetReadOnlyDataBuffers() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetReadOnlyDataBuffers" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Iterator Function GetReadOnlyDataBuffers () As IEnumerable(Of ReadOnlyMemory(Of Byte))" />
|
||||
<MemberSignature Language="F#" Value="member this.GetReadOnlyDataBuffers : unit -> seq<ReadOnlyMemory<byte>>" Usage="arrowStringDataFrameColumn.GetReadOnlyDataBuffers " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.ArrowStringDataFrameColumn+<GetReadOnlyDataBuffers>d__11))]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.ArrowStringDataFrameColumn+<GetReadOnlyDataBuffers>d__11))>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<System.ReadOnlyMemory<System.Byte>></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns an enumeration of immutable buffers representing the underlying values in the Apache Arrow format
|
||||
</summary>
|
||||
<returns>An enumeration of <see cref="T:System.ReadOnlyMemory`1" /> whose elements are the raw data buffers for the UTF8 string values.</returns>
|
||||
<remarks>
|
||||
<see langword="null" /> values are encoded in the buffers returned by GetReadOnlyNullBitmapBuffers in the Apache Arrow format</remarks>
|
||||
<remarks>The offsets buffers returned by GetReadOnlyOffsetBuffers can be used to delineate each value</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetReadOnlyNullBitMapBuffers">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IEnumerable<ReadOnlyMemory<byte>> GetReadOnlyNullBitMapBuffers ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class System.Collections.Generic.IEnumerable`1<valuetype System.ReadOnlyMemory`1<unsigned int8>> GetReadOnlyNullBitMapBuffers() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetReadOnlyNullBitMapBuffers" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Iterator Function GetReadOnlyNullBitMapBuffers () As IEnumerable(Of ReadOnlyMemory(Of Byte))" />
|
||||
<MemberSignature Language="F#" Value="member this.GetReadOnlyNullBitMapBuffers : unit -> seq<ReadOnlyMemory<byte>>" Usage="arrowStringDataFrameColumn.GetReadOnlyNullBitMapBuffers " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.ArrowStringDataFrameColumn+<GetReadOnlyNullBitMapBuffers>d__12))]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.ArrowStringDataFrameColumn+<GetReadOnlyNullBitMapBuffers>d__12))>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<System.ReadOnlyMemory<System.Byte>></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns an enumeration of immutable <see cref="T:System.ReadOnlyMemory`1" /> buffers representing <see langword="null" /> values in the Apache Arrow format
|
||||
</summary>
|
||||
<returns>An enumeration of <see cref="T:System.ReadOnlyMemory`1" /> objects whose elements encode the null bit maps for the column's values</returns>
|
||||
<remarks>Each <see cref="T:System.ReadOnlyMemory`1" /> encodes the indices of <see langword="null" /> values in its corresponding Data buffer</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetReadOnlyOffsetsBuffers">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IEnumerable<ReadOnlyMemory<int>> GetReadOnlyOffsetsBuffers ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class System.Collections.Generic.IEnumerable`1<valuetype System.ReadOnlyMemory`1<int32>> GetReadOnlyOffsetsBuffers() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetReadOnlyOffsetsBuffers" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Iterator Function GetReadOnlyOffsetsBuffers () As IEnumerable(Of ReadOnlyMemory(Of Integer))" />
|
||||
<MemberSignature Language="F#" Value="member this.GetReadOnlyOffsetsBuffers : unit -> seq<ReadOnlyMemory<int>>" Usage="arrowStringDataFrameColumn.GetReadOnlyOffsetsBuffers " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.ArrowStringDataFrameColumn+<GetReadOnlyOffsetsBuffers>d__13))]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.ArrowStringDataFrameColumn+<GetReadOnlyOffsetsBuffers>d__13))>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<System.ReadOnlyMemory<System.Int32>></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns an enumeration of immutable <see cref="T:System.ReadOnlyMemory`1" /> representing offsets into its corresponding Data buffer.
|
||||
The Apache Arrow format specifies how the offset buffer encodes the length of each value in the Data buffer
|
||||
</summary>
|
||||
<returns>An enumeration of <see cref="T:System.ReadOnlyMemory`1" /> objects.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetValue">
|
||||
<MemberSignature Language="C#" Value="protected override object GetValue (long rowIndex);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance object GetValue(int64 rowIndex) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetValue(System.Int64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Function GetValue (rowIndex As Long) As Object" />
|
||||
<MemberSignature Language="F#" Value="override this.GetValue : int64 -> obj" Usage="arrowStringDataFrameColumn.GetValue rowIndex" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Object</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="rowIndex" Type="System.Int64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="rowIndex">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetValues">
|
||||
<MemberSignature Language="C#" Value="protected override System.Collections.Generic.IReadOnlyList<object> GetValues (long startIndex, int length);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance class System.Collections.Generic.IReadOnlyList`1<object> GetValues(int64 startIndex, int32 length) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GetValues(System.Int64,System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Function GetValues (startIndex As Long, length As Integer) As IReadOnlyList(Of Object)" />
|
||||
<MemberSignature Language="F#" Value="override this.GetValues : int64 * int -> System.Collections.Generic.IReadOnlyList<obj>" Usage="arrowStringDataFrameColumn.GetValues (startIndex, length)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IReadOnlyList<System.Object></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="startIndex" Type="System.Int64" />
|
||||
<Parameter Name="length" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="startIndex">To be added.</param>
|
||||
<param name="length">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GroupBy">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.GroupBy GroupBy (int columnIndex, Microsoft.Data.Analysis.DataFrame parent);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.GroupBy GroupBy(int32 columnIndex, class Microsoft.Data.Analysis.DataFrame parent) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GroupBy(System.Int32,Microsoft.Data.Analysis.DataFrame)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function GroupBy (columnIndex As Integer, parent As DataFrame) As GroupBy" />
|
||||
<MemberSignature Language="F#" Value="override this.GroupBy : int * Microsoft.Data.Analysis.DataFrame -> Microsoft.Data.Analysis.GroupBy" Usage="arrowStringDataFrameColumn.GroupBy (columnIndex, parent)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.GroupBy</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnIndex" Type="System.Int32" />
|
||||
<Parameter Name="parent" Type="Microsoft.Data.Analysis.DataFrame" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnIndex">To be added.</param>
|
||||
<param name="parent">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GroupColumnValues<TKey>">
|
||||
<MemberSignature Language="C#" Value="public override System.Collections.Generic.Dictionary<TKey,System.Collections.Generic.ICollection<long>> GroupColumnValues<TKey> (out System.Collections.Generic.HashSet<long> nullIndices);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class System.Collections.Generic.Dictionary`2<!!TKey, class System.Collections.Generic.ICollection`1<int64>> GroupColumnValues<TKey>([out] class System.Collections.Generic.HashSet`1<int64>& nullIndices) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.GroupColumnValues``1(System.Collections.Generic.HashSet{System.Int64}@)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function GroupColumnValues(Of TKey) (ByRef nullIndices As HashSet(Of Long)) As Dictionary(Of TKey, ICollection(Of Long))" />
|
||||
<MemberSignature Language="F#" Value="override this.GroupColumnValues : HashSet -> System.Collections.Generic.Dictionary<'Key, System.Collections.Generic.ICollection<int64>>" Usage="arrowStringDataFrameColumn.GroupColumnValues nullIndices" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.Dictionary<TKey,System.Collections.Generic.ICollection<System.Int64>></ReturnType>
|
||||
</ReturnValue>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="TKey" />
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="nullIndices" Type="System.Collections.Generic.HashSet<System.Int64>" RefType="out" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="TKey">To be added.</typeparam>
|
||||
<param name="nullIndices">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="IsValid">
|
||||
<MemberSignature Language="C#" Value="public bool IsValid (long index);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance bool IsValid(int64 index) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.IsValid(System.Int64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function IsValid (index As Long) As Boolean" />
|
||||
<MemberSignature Language="F#" Value="member this.IsValid : int64 -> bool" Usage="arrowStringDataFrameColumn.IsValid index" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Boolean</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="index" Type="System.Int64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="index">The index to look up.</param>
|
||||
<summary>
|
||||
Indicates if the value at this <paramref name="index" /> is <see langword="null" />.
|
||||
</summary>
|
||||
<returns>A boolean value indicating the validity at this <paramref name="index" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Item">
|
||||
<MemberSignature Language="C#" Value="public string this[long rowIndex] { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string Item(int64)" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Item(System.Int64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Default Public Property Item(rowIndex As Long) As String" />
|
||||
<MemberSignature Language="F#" Value="member this.Item(int64) : string with get, set" Usage="Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Item" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="rowIndex" Type="System.Int64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="rowIndex">Zero based row index</param>
|
||||
<summary>
|
||||
Indexer to get values. This is an immutable column
|
||||
</summary>
|
||||
<value>The value stored at this <paramref name="rowIndex" /></value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Item">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.List<string> this[long startIndex, int length] { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.List`1<string> Item(int64, int32)" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Item(System.Int64,System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Default Public ReadOnly Property Item(startIndex As Long, length As Integer) As List(Of String)" />
|
||||
<MemberSignature Language="F#" Value="member this.Item(int64 * int) : System.Collections.Generic.List<string>" Usage="Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Item" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.List<System.String></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="startIndex" Type="System.Int64" />
|
||||
<Parameter Name="length" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="startIndex">The index of the first value to return.</param>
|
||||
<param name="length">The number of values to return starting from <paramref name="startIndex" /></param>
|
||||
<summary>
|
||||
Returns <paramref name="length" /> number of values starting from <paramref name="startIndex" />.
|
||||
</summary>
|
||||
<value>A new list of string values</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NullCount">
|
||||
<MemberSignature Language="C#" Value="public override long NullCount { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance int64 NullCount" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.NullCount" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides ReadOnly Property NullCount As Long" />
|
||||
<MemberSignature Language="F#" Value="member this.NullCount : int64" Usage="Microsoft.Data.Analysis.ArrowStringDataFrameColumn.NullCount" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int64</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SetValue">
|
||||
<MemberSignature Language="C#" Value="protected override void SetValue (long rowIndex, object value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance void SetValue(int64 rowIndex, object value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.SetValue(System.Int64,System.Object)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Sub SetValue (rowIndex As Long, value As Object)" />
|
||||
<MemberSignature Language="F#" Value="override this.SetValue : int64 * obj -> unit" Usage="arrowStringDataFrameColumn.SetValue (rowIndex, value)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="rowIndex" Type="System.Int64" />
|
||||
<Parameter Name="value" Type="System.Object" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="rowIndex">To be added.</param>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Sort">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrameColumn Sort (bool ascending = true);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrameColumn Sort(bool ascending) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.Sort(System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Sort (Optional ascending As Boolean = true) As DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.Sort : bool -> Microsoft.Data.Analysis.DataFrameColumn" Usage="arrowStringDataFrameColumn.Sort ascending" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="ascending" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="ascending">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ToArrowArray">
|
||||
<MemberSignature Language="C#" Value="protected internal override Apache.Arrow.Array ToArrowArray (long startIndex, int numberOfRows);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyorassemblyhidebysig virtual instance class Apache.Arrow.Array ToArrowArray(int64 startIndex, int32 numberOfRows) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.ToArrowArray(System.Int64,System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Friend Overrides Function ToArrowArray (startIndex As Long, numberOfRows As Integer) As Array" />
|
||||
<MemberSignature Language="F#" Value="override this.ToArrowArray : int64 * int -> Apache.Arrow.Array" Usage="arrowStringDataFrameColumn.ToArrowArray (startIndex, numberOfRows)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Apache.Arrow.Array</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="startIndex" Type="System.Int64" />
|
||||
<Parameter Name="numberOfRows" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="startIndex">To be added.</param>
|
||||
<param name="numberOfRows">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ValueCounts">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame ValueCounts ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame ValueCounts() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.ArrowStringDataFrameColumn.ValueCounts" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function ValueCounts () As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.ValueCounts : unit -> Microsoft.Data.Analysis.DataFrame" Usage="arrowStringDataFrameColumn.ValueCounts " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<inheritdoc />
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,718 +0,0 @@
|
|||
<Type Name="BooleanDataFrameColumn" FullName="Microsoft.Data.Analysis.BooleanDataFrameColumn">
|
||||
<TypeSignature Language="C#" Value="public class BooleanDataFrameColumn : Microsoft.Data.Analysis.PrimitiveDataFrameColumn<bool>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit BooleanDataFrameColumn extends Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<bool>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class BooleanDataFrameColumn
Inherits PrimitiveDataFrameColumn(Of Boolean)" />
|
||||
<TypeSignature Language="F#" Value="type BooleanDataFrameColumn = class
 inherit PrimitiveDataFrameColumn<bool>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Boolean></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="T">System.Boolean</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public BooleanDataFrameColumn (string name, System.Collections.Generic.IEnumerable<bool> values);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, class System.Collections.Generic.IEnumerable`1<bool> values) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.#ctor(System.String,System.Collections.Generic.IEnumerable{System.Boolean})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, values As IEnumerable(Of Boolean))" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.BooleanDataFrameColumn : string * seq<bool> -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="new Microsoft.Data.Analysis.BooleanDataFrameColumn (name, values)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="values" Type="System.Collections.Generic.IEnumerable<System.Boolean>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">To be added.</param>
|
||||
<param name="values">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public BooleanDataFrameColumn (string name, System.Collections.Generic.IEnumerable<bool?> values);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, class System.Collections.Generic.IEnumerable`1<valuetype System.Nullable`1<bool>> values) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.#ctor(System.String,System.Collections.Generic.IEnumerable{System.Nullable{System.Boolean}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, values As IEnumerable(Of Nullable(Of Boolean)))" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.BooleanDataFrameColumn : string * seq<Nullable<bool>> -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="new Microsoft.Data.Analysis.BooleanDataFrameColumn (name, values)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="values" Type="System.Collections.Generic.IEnumerable<System.Nullable<System.Boolean>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">To be added.</param>
|
||||
<param name="values">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public BooleanDataFrameColumn (string name, long length = 0);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, int64 length) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.#ctor(System.String,System.Int64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, Optional length As Long = 0)" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.BooleanDataFrameColumn : string * int64 -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="new Microsoft.Data.Analysis.BooleanDataFrameColumn (name, length)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="length" Type="System.Int64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">To be added.</param>
|
||||
<param name="length">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public BooleanDataFrameColumn (string name, ReadOnlyMemory<byte> buffer, ReadOnlyMemory<byte> nullBitMap, int length = 0, int nullCount = 0);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, valuetype System.ReadOnlyMemory`1<unsigned int8> buffer, valuetype System.ReadOnlyMemory`1<unsigned int8> nullBitMap, int32 length, int32 nullCount) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.#ctor(System.String,System.ReadOnlyMemory{System.Byte},System.ReadOnlyMemory{System.Byte},System.Int32,System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, buffer As ReadOnlyMemory(Of Byte), nullBitMap As ReadOnlyMemory(Of Byte), Optional length As Integer = 0, Optional nullCount As Integer = 0)" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.BooleanDataFrameColumn : string * ReadOnlyMemory<byte> * ReadOnlyMemory<byte> * int * int -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="new Microsoft.Data.Analysis.BooleanDataFrameColumn (name, buffer, nullBitMap, length, nullCount)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="buffer" Type="System.ReadOnlyMemory<System.Byte>" />
|
||||
<Parameter Name="nullBitMap" Type="System.ReadOnlyMemory<System.Byte>" />
|
||||
<Parameter Name="length" Type="System.Int32" />
|
||||
<Parameter Name="nullCount" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">To be added.</param>
|
||||
<param name="buffer">To be added.</param>
|
||||
<param name="nullBitMap">To be added.</param>
|
||||
<param name="length">To be added.</param>
|
||||
<param name="nullCount">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="And">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn And (Microsoft.Data.Analysis.BooleanDataFrameColumn column, bool inPlace = false);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn And(class Microsoft.Data.Analysis.BooleanDataFrameColumn column, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.And(Microsoft.Data.Analysis.BooleanDataFrameColumn,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function And (column As BooleanDataFrameColumn, Optional inPlace As Boolean = false) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.And : Microsoft.Data.Analysis.BooleanDataFrameColumn * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.And (column, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="And">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn And (bool value, bool inPlace = false);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn And(bool value, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.And(System.Boolean,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function And (value As Boolean, Optional inPlace As Boolean = false) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.And : bool * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.And (value, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseEquals">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseEquals (Microsoft.Data.Analysis.BooleanDataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseEquals(class Microsoft.Data.Analysis.BooleanDataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseEquals(Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseEquals (column As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseEquals : Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseEquals column" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseEquals">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseEquals (bool value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseEquals(bool value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseEquals(System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseEquals (value As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseEquals : bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseEquals value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseGreaterThan">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseGreaterThan (Microsoft.Data.Analysis.BooleanDataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseGreaterThan(class Microsoft.Data.Analysis.BooleanDataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseGreaterThan(Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseGreaterThan (column As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseGreaterThan : Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseGreaterThan column" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseGreaterThan">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseGreaterThan (bool value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseGreaterThan(bool value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseGreaterThan(System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseGreaterThan (value As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseGreaterThan : bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseGreaterThan value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseGreaterThanOrEqual">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseGreaterThanOrEqual (Microsoft.Data.Analysis.BooleanDataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseGreaterThanOrEqual(class Microsoft.Data.Analysis.BooleanDataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseGreaterThanOrEqual(Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseGreaterThanOrEqual (column As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseGreaterThanOrEqual : Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseGreaterThanOrEqual column" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseGreaterThanOrEqual">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseGreaterThanOrEqual (bool value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseGreaterThanOrEqual(bool value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseGreaterThanOrEqual(System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseGreaterThanOrEqual (value As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseGreaterThanOrEqual : bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseGreaterThanOrEqual value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseLessThan">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseLessThan (Microsoft.Data.Analysis.BooleanDataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseLessThan(class Microsoft.Data.Analysis.BooleanDataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseLessThan(Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseLessThan (column As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseLessThan : Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseLessThan column" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseLessThan">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseLessThan (bool value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseLessThan(bool value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseLessThan(System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseLessThan (value As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseLessThan : bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseLessThan value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseLessThanOrEqual">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseLessThanOrEqual (Microsoft.Data.Analysis.BooleanDataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseLessThanOrEqual(class Microsoft.Data.Analysis.BooleanDataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseLessThanOrEqual(Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseLessThanOrEqual (column As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseLessThanOrEqual : Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseLessThanOrEqual column" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseLessThanOrEqual">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseLessThanOrEqual (bool value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseLessThanOrEqual(bool value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseLessThanOrEqual(System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseLessThanOrEqual (value As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseLessThanOrEqual : bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseLessThanOrEqual value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseNotEquals">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseNotEquals (Microsoft.Data.Analysis.BooleanDataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseNotEquals(class Microsoft.Data.Analysis.BooleanDataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseNotEquals(Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseNotEquals (column As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseNotEquals : Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseNotEquals column" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ElementwiseNotEquals">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseNotEquals (bool value);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn ElementwiseNotEquals(bool value) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.ElementwiseNotEquals(System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function ElementwiseNotEquals (value As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.ElementwiseNotEquals : bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.ElementwiseNotEquals value" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="op_BitwiseAnd">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.Data.Analysis.BooleanDataFrameColumn operator & (Microsoft.Data.Analysis.BooleanDataFrameColumn left, Microsoft.Data.Analysis.BooleanDataFrameColumn right);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig specialname class Microsoft.Data.Analysis.BooleanDataFrameColumn op_BitwiseAnd(class Microsoft.Data.Analysis.BooleanDataFrameColumn left, class Microsoft.Data.Analysis.BooleanDataFrameColumn right) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.op_BitwiseAnd(Microsoft.Data.Analysis.BooleanDataFrameColumn,Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Operator And (left As BooleanDataFrameColumn, right As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="static member ( &&& ) : Microsoft.Data.Analysis.BooleanDataFrameColumn * Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="left &&& right" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="left" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="right" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="left">To be added.</param>
|
||||
<param name="right">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="op_BitwiseAnd">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.Data.Analysis.BooleanDataFrameColumn operator & (Microsoft.Data.Analysis.BooleanDataFrameColumn left, bool right);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig specialname class Microsoft.Data.Analysis.BooleanDataFrameColumn op_BitwiseAnd(class Microsoft.Data.Analysis.BooleanDataFrameColumn left, bool right) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.op_BitwiseAnd(Microsoft.Data.Analysis.BooleanDataFrameColumn,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Operator And (left As BooleanDataFrameColumn, right As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="static member ( &&& ) : Microsoft.Data.Analysis.BooleanDataFrameColumn * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="left &&& right" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="left" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="right" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="left">To be added.</param>
|
||||
<param name="right">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="op_BitwiseOr">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.Data.Analysis.BooleanDataFrameColumn operator | (Microsoft.Data.Analysis.BooleanDataFrameColumn left, Microsoft.Data.Analysis.BooleanDataFrameColumn right);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig specialname class Microsoft.Data.Analysis.BooleanDataFrameColumn op_BitwiseOr(class Microsoft.Data.Analysis.BooleanDataFrameColumn left, class Microsoft.Data.Analysis.BooleanDataFrameColumn right) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.op_BitwiseOr(Microsoft.Data.Analysis.BooleanDataFrameColumn,Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Operator Or (left As BooleanDataFrameColumn, right As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="static member ( ||| ) : Microsoft.Data.Analysis.BooleanDataFrameColumn * Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="left ||| right" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="left" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="right" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="left">To be added.</param>
|
||||
<param name="right">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="op_BitwiseOr">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.Data.Analysis.BooleanDataFrameColumn operator | (Microsoft.Data.Analysis.BooleanDataFrameColumn left, bool right);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig specialname class Microsoft.Data.Analysis.BooleanDataFrameColumn op_BitwiseOr(class Microsoft.Data.Analysis.BooleanDataFrameColumn left, bool right) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.op_BitwiseOr(Microsoft.Data.Analysis.BooleanDataFrameColumn,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Operator Or (left As BooleanDataFrameColumn, right As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="static member ( ||| ) : Microsoft.Data.Analysis.BooleanDataFrameColumn * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="left ||| right" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="left" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="right" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="left">To be added.</param>
|
||||
<param name="right">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="op_ExclusiveOr">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.Data.Analysis.BooleanDataFrameColumn operator ^ (Microsoft.Data.Analysis.BooleanDataFrameColumn left, Microsoft.Data.Analysis.BooleanDataFrameColumn right);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig specialname class Microsoft.Data.Analysis.BooleanDataFrameColumn op_ExclusiveOr(class Microsoft.Data.Analysis.BooleanDataFrameColumn left, class Microsoft.Data.Analysis.BooleanDataFrameColumn right) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.op_ExclusiveOr(Microsoft.Data.Analysis.BooleanDataFrameColumn,Microsoft.Data.Analysis.BooleanDataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Operator Xor (left As BooleanDataFrameColumn, right As BooleanDataFrameColumn) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="static member ( ^^^ ) : Microsoft.Data.Analysis.BooleanDataFrameColumn * Microsoft.Data.Analysis.BooleanDataFrameColumn -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="left ^^^ right" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="left" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="right" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="left">To be added.</param>
|
||||
<param name="right">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="op_ExclusiveOr">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.Data.Analysis.BooleanDataFrameColumn operator ^ (Microsoft.Data.Analysis.BooleanDataFrameColumn left, bool right);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig specialname class Microsoft.Data.Analysis.BooleanDataFrameColumn op_ExclusiveOr(class Microsoft.Data.Analysis.BooleanDataFrameColumn left, bool right) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.op_ExclusiveOr(Microsoft.Data.Analysis.BooleanDataFrameColumn,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Operator Xor (left As BooleanDataFrameColumn, right As Boolean) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="static member ( ^^^ ) : Microsoft.Data.Analysis.BooleanDataFrameColumn * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="left ^^^ right" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="left" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="right" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="left">To be added.</param>
|
||||
<param name="right">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Or">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn Or (Microsoft.Data.Analysis.BooleanDataFrameColumn column, bool inPlace = false);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn Or(class Microsoft.Data.Analysis.BooleanDataFrameColumn column, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.Or(Microsoft.Data.Analysis.BooleanDataFrameColumn,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Or (column As BooleanDataFrameColumn, Optional inPlace As Boolean = false) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.Or : Microsoft.Data.Analysis.BooleanDataFrameColumn * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.Or (column, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Or">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn Or (bool value, bool inPlace = false);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn Or(bool value, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.Or(System.Boolean,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Or (value As Boolean, Optional inPlace As Boolean = false) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.Or : bool * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.Or (value, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Xor">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn Xor (Microsoft.Data.Analysis.BooleanDataFrameColumn column, bool inPlace = false);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn Xor(class Microsoft.Data.Analysis.BooleanDataFrameColumn column, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.Xor(Microsoft.Data.Analysis.BooleanDataFrameColumn,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Xor (column As BooleanDataFrameColumn, Optional inPlace As Boolean = false) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.Xor : Microsoft.Data.Analysis.BooleanDataFrameColumn * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.Xor (column, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.BooleanDataFrameColumn" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Xor">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn Xor (bool value, bool inPlace = false);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn Xor(bool value, bool inPlace) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.BooleanDataFrameColumn.Xor(System.Boolean,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Xor (value As Boolean, Optional inPlace As Boolean = false) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="override this.Xor : bool * bool -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="booleanDataFrameColumn.Xor (value, inPlace)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="value" Type="System.Boolean" />
|
||||
<Parameter Name="inPlace" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="value">To be added.</param>
|
||||
<param name="inPlace">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
|
|
@ -1,118 +0,0 @@
|
|||
<Type Name="CharDataFrameColumn" FullName="Microsoft.Data.Analysis.CharDataFrameColumn">
|
||||
<TypeSignature Language="C#" Value="public class CharDataFrameColumn : Microsoft.Data.Analysis.PrimitiveDataFrameColumn<char>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit CharDataFrameColumn extends Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<char>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.CharDataFrameColumn" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class CharDataFrameColumn
Inherits PrimitiveDataFrameColumn(Of Char)" />
|
||||
<TypeSignature Language="F#" Value="type CharDataFrameColumn = class
 inherit PrimitiveDataFrameColumn<char>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<System.Char></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="T">System.Char</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public CharDataFrameColumn (string name, System.Collections.Generic.IEnumerable<char> values);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, class System.Collections.Generic.IEnumerable`1<char> values) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.CharDataFrameColumn.#ctor(System.String,System.Collections.Generic.IEnumerable{System.Char})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, values As IEnumerable(Of Char))" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.CharDataFrameColumn : string * seq<char> -> Microsoft.Data.Analysis.CharDataFrameColumn" Usage="new Microsoft.Data.Analysis.CharDataFrameColumn (name, values)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="values" Type="System.Collections.Generic.IEnumerable<System.Char>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">To be added.</param>
|
||||
<param name="values">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public CharDataFrameColumn (string name, System.Collections.Generic.IEnumerable<char?> values);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, class System.Collections.Generic.IEnumerable`1<valuetype System.Nullable`1<char>> values) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.CharDataFrameColumn.#ctor(System.String,System.Collections.Generic.IEnumerable{System.Nullable{System.Char}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, values As IEnumerable(Of Nullable(Of Char)))" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.CharDataFrameColumn : string * seq<Nullable<char>> -> Microsoft.Data.Analysis.CharDataFrameColumn" Usage="new Microsoft.Data.Analysis.CharDataFrameColumn (name, values)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="values" Type="System.Collections.Generic.IEnumerable<System.Nullable<System.Char>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">To be added.</param>
|
||||
<param name="values">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public CharDataFrameColumn (string name, long length = 0);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, int64 length) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.CharDataFrameColumn.#ctor(System.String,System.Int64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, Optional length As Long = 0)" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.CharDataFrameColumn : string * int64 -> Microsoft.Data.Analysis.CharDataFrameColumn" Usage="new Microsoft.Data.Analysis.CharDataFrameColumn (name, length)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="length" Type="System.Int64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">To be added.</param>
|
||||
<param name="length">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public CharDataFrameColumn (string name, ReadOnlyMemory<byte> buffer, ReadOnlyMemory<byte> nullBitMap, int length = 0, int nullCount = 0);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(string name, valuetype System.ReadOnlyMemory`1<unsigned int8> buffer, valuetype System.ReadOnlyMemory`1<unsigned int8> nullBitMap, int32 length, int32 nullCount) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.CharDataFrameColumn.#ctor(System.String,System.ReadOnlyMemory{System.Byte},System.ReadOnlyMemory{System.Byte},System.Int32,System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (name As String, buffer As ReadOnlyMemory(Of Byte), nullBitMap As ReadOnlyMemory(Of Byte), Optional length As Integer = 0, Optional nullCount As Integer = 0)" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.CharDataFrameColumn : string * ReadOnlyMemory<byte> * ReadOnlyMemory<byte> * int * int -> Microsoft.Data.Analysis.CharDataFrameColumn" Usage="new Microsoft.Data.Analysis.CharDataFrameColumn (name, buffer, nullBitMap, length, nullCount)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
<Parameter Name="buffer" Type="System.ReadOnlyMemory<System.Byte>" />
|
||||
<Parameter Name="nullBitMap" Type="System.ReadOnlyMemory<System.Byte>" />
|
||||
<Parameter Name="length" Type="System.Int32" />
|
||||
<Parameter Name="nullCount" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">To be added.</param>
|
||||
<param name="buffer">To be added.</param>
|
||||
<param name="nullBitMap">To be added.</param>
|
||||
<param name="length">To be added.</param>
|
||||
<param name="nullCount">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
|
|
@ -1,714 +0,0 @@
|
|||
<Type Name="DataFrameColumnCollection" FullName="Microsoft.Data.Analysis.DataFrameColumnCollection">
|
||||
<TypeSignature Language="C#" Value="public class DataFrameColumnCollection : System.Collections.ObjectModel.Collection<Microsoft.Data.Analysis.DataFrameColumn>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit DataFrameColumnCollection extends System.Collections.ObjectModel.Collection`1<class Microsoft.Data.Analysis.DataFrameColumn>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.DataFrameColumnCollection" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DataFrameColumnCollection
Inherits Collection(Of DataFrameColumn)" />
|
||||
<TypeSignature Language="F#" Value="type DataFrameColumnCollection = class
 inherit Collection<DataFrameColumn>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Collections.ObjectModel.Collection<Microsoft.Data.Analysis.DataFrameColumn></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="!0">Microsoft.Data.Analysis.DataFrameColumn</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
A DataFrameColumnCollection is just a container that holds a number of DataFrameColumn instances.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="ClearItems">
|
||||
<MemberSignature Language="C#" Value="protected override void ClearItems ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance void ClearItems() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.ClearItems" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Sub ClearItems ()" />
|
||||
<MemberSignature Language="F#" Value="override this.ClearItems : unit -> unit" Usage="dataFrameColumnCollection.ClearItems " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetArrowStringColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.ArrowStringDataFrameColumn GetArrowStringColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.ArrowStringDataFrameColumn GetArrowStringColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetArrowStringColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetArrowStringColumn (name As String) As ArrowStringDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetArrowStringColumn : string -> Microsoft.Data.Analysis.ArrowStringDataFrameColumn" Usage="dataFrameColumnCollection.GetArrowStringColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.ArrowStringDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.ArrowStringDataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.ArrowStringDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetBooleanColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.BooleanDataFrameColumn GetBooleanColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.BooleanDataFrameColumn GetBooleanColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetBooleanColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetBooleanColumn (name As String) As BooleanDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetBooleanColumn : string -> Microsoft.Data.Analysis.BooleanDataFrameColumn" Usage="dataFrameColumnCollection.GetBooleanColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.BooleanDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.BooleanDataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.BooleanDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetByteColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.ByteDataFrameColumn GetByteColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.ByteDataFrameColumn GetByteColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetByteColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetByteColumn (name As String) As ByteDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetByteColumn : string -> Microsoft.Data.Analysis.ByteDataFrameColumn" Usage="dataFrameColumnCollection.GetByteColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.ByteDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.ByteDataFrameColumn" /> with the specified <paramref name="name" /> and attempts to return it as an <see cref="T:Microsoft.Data.Analysis.ByteDataFrameColumn" />. If <see cref="P:Microsoft.Data.Analysis.DataFrameColumn.DataType" /> is not of type <see cref="T:System.Byte" />, an exception is thrown.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.ByteDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetCharColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.CharDataFrameColumn GetCharColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.CharDataFrameColumn GetCharColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetCharColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetCharColumn (name As String) As CharDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetCharColumn : string -> Microsoft.Data.Analysis.CharDataFrameColumn" Usage="dataFrameColumnCollection.GetCharColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.CharDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.CharDataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.CharDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetDecimalColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.DecimalDataFrameColumn GetDecimalColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.DecimalDataFrameColumn GetDecimalColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetDecimalColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetDecimalColumn (name As String) As DecimalDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetDecimalColumn : string -> Microsoft.Data.Analysis.DecimalDataFrameColumn" Usage="dataFrameColumnCollection.GetDecimalColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DecimalDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.DecimalDataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.DecimalDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetDoubleColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.DoubleDataFrameColumn GetDoubleColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.DoubleDataFrameColumn GetDoubleColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetDoubleColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetDoubleColumn (name As String) As DoubleDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetDoubleColumn : string -> Microsoft.Data.Analysis.DoubleDataFrameColumn" Usage="dataFrameColumnCollection.GetDoubleColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DoubleDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.DoubleDataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.DoubleDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetInt16Column">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.Int16DataFrameColumn GetInt16Column (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.Int16DataFrameColumn GetInt16Column(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetInt16Column(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetInt16Column (name As String) As Int16DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetInt16Column : string -> Microsoft.Data.Analysis.Int16DataFrameColumn" Usage="dataFrameColumnCollection.GetInt16Column name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.Int16DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.Int16DataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.Int16DataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetInt32Column">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.Int32DataFrameColumn GetInt32Column (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.Int32DataFrameColumn GetInt32Column(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetInt32Column(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetInt32Column (name As String) As Int32DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetInt32Column : string -> Microsoft.Data.Analysis.Int32DataFrameColumn" Usage="dataFrameColumnCollection.GetInt32Column name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.Int32DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.Int32DataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.Int32DataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetInt64Column">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.Int64DataFrameColumn GetInt64Column (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.Int64DataFrameColumn GetInt64Column(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetInt64Column(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetInt64Column (name As String) As Int64DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetInt64Column : string -> Microsoft.Data.Analysis.Int64DataFrameColumn" Usage="dataFrameColumnCollection.GetInt64Column name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.Int64DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.Int64DataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.Int64DataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetPrimitiveColumn<T>">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T> GetPrimitiveColumn<T> (string name) where T : struct;" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1<!!T> GetPrimitiveColumn<struct .ctor (class System.ValueType) T>(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetPrimitiveColumn``1(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetPrimitiveColumn(Of T As Structure) (name As String) As PrimitiveDataFrameColumn(Of T)" />
|
||||
<MemberSignature Language="F#" Value="member this.GetPrimitiveColumn : string -> Microsoft.Data.Analysis.PrimitiveDataFrameColumn<'T (requires 'T : struct)> (requires 'T : struct)" Usage="dataFrameColumnCollection.GetPrimitiveColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.PrimitiveDataFrameColumn<T></ReturnType>
|
||||
</ReturnValue>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="T">
|
||||
<Constraints>
|
||||
<ParameterAttribute>DefaultConstructorConstraint</ParameterAttribute>
|
||||
<ParameterAttribute>NotNullableValueTypeConstraint</ParameterAttribute>
|
||||
<BaseTypeName>System.ValueType</BaseTypeName>
|
||||
</Constraints>
|
||||
</TypeParameter>
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="T">To be added.</typeparam>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.PrimitiveDataFrameColumn`1" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetSByteColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.SByteDataFrameColumn GetSByteColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.SByteDataFrameColumn GetSByteColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetSByteColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetSByteColumn (name As String) As SByteDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetSByteColumn : string -> Microsoft.Data.Analysis.SByteDataFrameColumn" Usage="dataFrameColumnCollection.GetSByteColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.SByteDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.SByteDataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.SByteDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetSingleColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.SingleDataFrameColumn GetSingleColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.SingleDataFrameColumn GetSingleColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetSingleColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetSingleColumn (name As String) As SingleDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetSingleColumn : string -> Microsoft.Data.Analysis.SingleDataFrameColumn" Usage="dataFrameColumnCollection.GetSingleColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.SingleDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.SingleDataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.SingleDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetStringColumn">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.StringDataFrameColumn GetStringColumn (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.StringDataFrameColumn GetStringColumn(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetStringColumn(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetStringColumn (name As String) As StringDataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetStringColumn : string -> Microsoft.Data.Analysis.StringDataFrameColumn" Usage="dataFrameColumnCollection.GetStringColumn name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.StringDataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.StringDataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.StringDataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetUInt16Column">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.UInt16DataFrameColumn GetUInt16Column (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.UInt16DataFrameColumn GetUInt16Column(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetUInt16Column(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetUInt16Column (name As String) As UInt16DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetUInt16Column : string -> Microsoft.Data.Analysis.UInt16DataFrameColumn" Usage="dataFrameColumnCollection.GetUInt16Column name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.UInt16DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.UInt16DataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.UInt16DataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetUInt32Column">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.UInt32DataFrameColumn GetUInt32Column (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.UInt32DataFrameColumn GetUInt32Column(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetUInt32Column(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetUInt32Column (name As String) As UInt32DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetUInt32Column : string -> Microsoft.Data.Analysis.UInt32DataFrameColumn" Usage="dataFrameColumnCollection.GetUInt32Column name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.UInt32DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.UInt32DataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.UInt32DataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetUInt64Column">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.UInt64DataFrameColumn GetUInt64Column (string name);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.Data.Analysis.UInt64DataFrameColumn GetUInt64Column(string name) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.GetUInt64Column(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetUInt64Column (name As String) As UInt64DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.GetUInt64Column : string -> Microsoft.Data.Analysis.UInt64DataFrameColumn" Usage="dataFrameColumnCollection.GetUInt64Column name" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.UInt64DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="name" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="name">The name of the column</param>
|
||||
<summary>
|
||||
Gets the <see cref="T:Microsoft.Data.Analysis.UInt64DataFrameColumn" /> with the specified <paramref name="name" />.
|
||||
</summary>
|
||||
<returns>
|
||||
<see cref="T:Microsoft.Data.Analysis.UInt64DataFrameColumn" />.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">A column named <paramref name="name" /> cannot be found, or if the column's type doesn't match.</exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="IndexOf">
|
||||
<MemberSignature Language="C#" Value="public int IndexOf (string columnName);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance int32 IndexOf(string columnName) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.IndexOf(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function IndexOf (columnName As String) As Integer" />
|
||||
<MemberSignature Language="F#" Value="override this.IndexOf : string -> int" Usage="dataFrameColumnCollection.IndexOf columnName" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnName" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnName" />
|
||||
<summary>
|
||||
Searches for a <see cref="T:Microsoft.Data.Analysis.DataFrameColumn" /> with the specified <paramref name="columnName" /> and returns the zero-based index of the first occurrence if found. Returns -1 otherwise
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Insert<T>">
|
||||
<MemberSignature Language="C#" Value="public void Insert<T> (int columnIndex, System.Collections.Generic.IEnumerable<T> column, string columnName) where T : struct;" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance void Insert<struct .ctor (class System.ValueType) T>(int32 columnIndex, class System.Collections.Generic.IEnumerable`1<!!T> column, string columnName) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.Insert``1(System.Int32,System.Collections.Generic.IEnumerable{``0},System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub Insert(Of T As Structure) (columnIndex As Integer, column As IEnumerable(Of T), columnName As String)" />
|
||||
<MemberSignature Language="F#" Value="override this.Insert : int * seq<'T (requires 'T : struct)> * string -> unit (requires 'T : struct)" Usage="dataFrameColumnCollection.Insert (columnIndex, column, columnName)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="T">
|
||||
<Constraints>
|
||||
<ParameterAttribute>DefaultConstructorConstraint</ParameterAttribute>
|
||||
<ParameterAttribute>NotNullableValueTypeConstraint</ParameterAttribute>
|
||||
<BaseTypeName>System.ValueType</BaseTypeName>
|
||||
</Constraints>
|
||||
</TypeParameter>
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="columnIndex" Type="System.Int32" />
|
||||
<Parameter Name="column" Type="System.Collections.Generic.IEnumerable<T>" />
|
||||
<Parameter Name="columnName" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="T">To be added.</typeparam>
|
||||
<param name="columnIndex">To be added.</param>
|
||||
<param name="column">To be added.</param>
|
||||
<param name="columnName">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="InsertItem">
|
||||
<MemberSignature Language="C#" Value="protected override void InsertItem (int columnIndex, Microsoft.Data.Analysis.DataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance void InsertItem(int32 columnIndex, class Microsoft.Data.Analysis.DataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.InsertItem(System.Int32,Microsoft.Data.Analysis.DataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Sub InsertItem (columnIndex As Integer, column As DataFrameColumn)" />
|
||||
<MemberSignature Language="F#" Value="override this.InsertItem : int * Microsoft.Data.Analysis.DataFrameColumn -> unit" Usage="dataFrameColumnCollection.InsertItem (columnIndex, column)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnIndex" Type="System.Int32" />
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.DataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnIndex">To be added.</param>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Item">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.DataFrameColumn this[string columnName] { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.Data.Analysis.DataFrameColumn Item(string)" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.Data.Analysis.DataFrameColumnCollection.Item(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Default Public Property Item(columnName As String) As DataFrameColumn" />
|
||||
<MemberSignature Language="F#" Value="member this.Item(string) : Microsoft.Data.Analysis.DataFrameColumn with get, set" Usage="Microsoft.Data.Analysis.DataFrameColumnCollection.Item" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrameColumn</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnName" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnName">The name of a <see cref="T:Microsoft.Data.Analysis.DataFrameColumn" /></param>
|
||||
<summary>
|
||||
An indexer based on <see cref="P:Microsoft.Data.Analysis.DataFrameColumn.Name" /></summary>
|
||||
<value>A <see cref="T:Microsoft.Data.Analysis.DataFrameColumn" /> if it exists.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
<exception cref="T:System.ArgumentException">Throws if <paramref name="columnName" /> is not present in this <see cref="T:Microsoft.Data.Analysis.DataFrame" /></exception>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Remove">
|
||||
<MemberSignature Language="C#" Value="public void Remove (string columnName);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance void Remove(string columnName) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.Remove(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub Remove (columnName As String)" />
|
||||
<MemberSignature Language="F#" Value="override this.Remove : string -> unit" Usage="dataFrameColumnCollection.Remove columnName" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnName" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnName">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="RemoveItem">
|
||||
<MemberSignature Language="C#" Value="protected override void RemoveItem (int columnIndex);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance void RemoveItem(int32 columnIndex) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.RemoveItem(System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Sub RemoveItem (columnIndex As Integer)" />
|
||||
<MemberSignature Language="F#" Value="override this.RemoveItem : int -> unit" Usage="dataFrameColumnCollection.RemoveItem columnIndex" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnIndex" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnIndex">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SetColumnName">
|
||||
<MemberSignature Language="C#" Value="public void SetColumnName (Microsoft.Data.Analysis.DataFrameColumn column, string newName);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance void SetColumnName(class Microsoft.Data.Analysis.DataFrameColumn column, string newName) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.SetColumnName(Microsoft.Data.Analysis.DataFrameColumn,System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub SetColumnName (column As DataFrameColumn, newName As String)" />
|
||||
<MemberSignature Language="F#" Value="member this.SetColumnName : Microsoft.Data.Analysis.DataFrameColumn * string -> unit" Usage="dataFrameColumnCollection.SetColumnName (column, newName)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.DataFrameColumn" />
|
||||
<Parameter Name="newName" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="column">To be added.</param>
|
||||
<param name="newName">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SetItem">
|
||||
<MemberSignature Language="C#" Value="protected override void SetItem (int columnIndex, Microsoft.Data.Analysis.DataFrameColumn column);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig virtual instance void SetItem(int32 columnIndex, class Microsoft.Data.Analysis.DataFrameColumn column) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameColumnCollection.SetItem(System.Int32,Microsoft.Data.Analysis.DataFrameColumn)" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Overrides Sub SetItem (columnIndex As Integer, column As DataFrameColumn)" />
|
||||
<MemberSignature Language="F#" Value="override this.SetItem : int * Microsoft.Data.Analysis.DataFrameColumn -> unit" Usage="dataFrameColumnCollection.SetItem (columnIndex, column)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnIndex" Type="System.Int32" />
|
||||
<Parameter Name="column" Type="Microsoft.Data.Analysis.DataFrameColumn" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnIndex">To be added.</param>
|
||||
<param name="column">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,135 +0,0 @@
|
|||
<Type Name="DataFrameRow" FullName="Microsoft.Data.Analysis.DataFrameRow">
|
||||
<TypeSignature Language="C#" Value="public class DataFrameRow : System.Collections.Generic.IEnumerable<object>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit DataFrameRow extends System.Object implements class System.Collections.Generic.IEnumerable`1<object>, class System.Collections.IEnumerable" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.DataFrameRow" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DataFrameRow
Implements IEnumerable(Of Object)" />
|
||||
<TypeSignature Language="F#" Value="type DataFrameRow = class
 interface seq<obj>
 interface IEnumerable" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface>
|
||||
<InterfaceName>System.Collections.Generic.IEnumerable<System.Object></InterfaceName>
|
||||
</Interface>
|
||||
<Interface>
|
||||
<InterfaceName>System.Collections.IEnumerable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
<Docs>
|
||||
<summary>
|
||||
A DataFrameRow is a collection of values that represent a row in a <see cref="T:Microsoft.Data.Analysis.DataFrame" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetEnumerator">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IEnumerator<object> GetEnumerator ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class System.Collections.Generic.IEnumerator`1<object> GetEnumerator() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameRow.GetEnumerator" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Iterator Overridable NotOverridable Function GetEnumerator () As IEnumerator(Of Object)" />
|
||||
<MemberSignature Language="F#" Value="abstract member GetEnumerator : unit -> System.Collections.Generic.IEnumerator<obj>
override this.GetEnumerator : unit -> System.Collections.Generic.IEnumerator<obj>" Usage="dataFrameRow.GetEnumerator " />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:System.Collections.Generic.IEnumerable`1.GetEnumerator</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.DataFrameRow+<GetEnumerator>d__3))]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.DataFrameRow+<GetEnumerator>d__3))>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerator<System.Object></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns an enumerator of the values in this row.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Item">
|
||||
<MemberSignature Language="C#" Value="public object this[int index] { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance object Item(int32)" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.Data.Analysis.DataFrameRow.Item(System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Default Public Property Item(index As Integer) As Object" />
|
||||
<MemberSignature Language="F#" Value="member this.Item(int) : obj with get, set" Usage="Microsoft.Data.Analysis.DataFrameRow.Item" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Object</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="index" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="index">The index of the value to return</param>
|
||||
<summary>
|
||||
An indexer to return the value at <paramref name="index" />.
|
||||
</summary>
|
||||
<value>The value at this <paramref name="index" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="System.Collections.IEnumerable.GetEnumerator">
|
||||
<MemberSignature Language="C#" Value="System.Collections.IEnumerator IEnumerable.GetEnumerator ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method hidebysig newslot virtual instance class System.Collections.IEnumerator System.Collections.IEnumerable.GetEnumerator() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameRow.System#Collections#IEnumerable#GetEnumerator" />
|
||||
<MemberSignature Language="VB.NET" Value="Function GetEnumerator () As IEnumerator Implements IEnumerable.GetEnumerator" />
|
||||
<MemberSignature Language="F#" Value="abstract member System.Collections.IEnumerable.GetEnumerator : unit -> System.Collections.IEnumerator
override this.System.Collections.IEnumerable.GetEnumerator : unit -> System.Collections.IEnumerator" Usage="dataFrameRow.System.Collections.IEnumerable.GetEnumerator " />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:System.Collections.IEnumerable.GetEnumerator</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.IEnumerator</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ToString">
|
||||
<MemberSignature Language="C#" Value="public override string ToString ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance string ToString() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameRow.ToString" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function ToString () As String" />
|
||||
<MemberSignature Language="F#" Value="override this.ToString : unit -> string" Usage="dataFrameRow.ToString " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
A simple string representation of the values in this row
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,132 +0,0 @@
|
|||
<Type Name="DataFrameRowCollection" FullName="Microsoft.Data.Analysis.DataFrameRowCollection">
|
||||
<TypeSignature Language="C#" Value="public class DataFrameRowCollection : System.Collections.Generic.IEnumerable<Microsoft.Data.Analysis.DataFrameRow>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit DataFrameRowCollection extends System.Object implements class System.Collections.Generic.IEnumerable`1<class Microsoft.Data.Analysis.DataFrameRow>, class System.Collections.IEnumerable" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.DataFrameRowCollection" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DataFrameRowCollection
Implements IEnumerable(Of DataFrameRow)" />
|
||||
<TypeSignature Language="F#" Value="type DataFrameRowCollection = class
 interface seq<DataFrameRow>
 interface IEnumerable" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface>
|
||||
<InterfaceName>System.Collections.Generic.IEnumerable<Microsoft.Data.Analysis.DataFrameRow></InterfaceName>
|
||||
</Interface>
|
||||
<Interface>
|
||||
<InterfaceName>System.Collections.IEnumerable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
<Docs>
|
||||
<summary>
|
||||
Represents the rows of a <see cref="T:Microsoft.Data.Analysis.DataFrame" /></summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Count">
|
||||
<MemberSignature Language="C#" Value="public long Count { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance int64 Count" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.Data.Analysis.DataFrameRowCollection.Count" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Count As Long" />
|
||||
<MemberSignature Language="F#" Value="member this.Count : int64" Usage="Microsoft.Data.Analysis.DataFrameRowCollection.Count" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int64</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The number of rows in this <see cref="T:Microsoft.Data.Analysis.DataFrame" />.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetEnumerator">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IEnumerator<Microsoft.Data.Analysis.DataFrameRow> GetEnumerator ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class System.Collections.Generic.IEnumerator`1<class Microsoft.Data.Analysis.DataFrameRow> GetEnumerator() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameRowCollection.GetEnumerator" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Iterator Overridable NotOverridable Function GetEnumerator () As IEnumerator(Of DataFrameRow)" />
|
||||
<MemberSignature Language="F#" Value="abstract member GetEnumerator : unit -> System.Collections.Generic.IEnumerator<Microsoft.Data.Analysis.DataFrameRow>
override this.GetEnumerator : unit -> System.Collections.Generic.IEnumerator<Microsoft.Data.Analysis.DataFrameRow>" Usage="dataFrameRowCollection.GetEnumerator " />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:System.Collections.Generic.IEnumerable`1.GetEnumerator</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.DataFrameRowCollection+<GetEnumerator>d__4))]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Runtime.CompilerServices.IteratorStateMachine(typeof(Microsoft.Data.Analysis.DataFrameRowCollection+<GetEnumerator>d__4))>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerator<Microsoft.Data.Analysis.DataFrameRow></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns an enumerator of <see cref="T:Microsoft.Data.Analysis.DataFrameRow" /> objects
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Item">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.Data.Analysis.DataFrameRow this[long index] { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.Data.Analysis.DataFrameRow Item(int64)" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.Data.Analysis.DataFrameRowCollection.Item(System.Int64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Default Public ReadOnly Property Item(index As Long) As DataFrameRow" />
|
||||
<MemberSignature Language="F#" Value="member this.Item(int64) : Microsoft.Data.Analysis.DataFrameRow" Usage="Microsoft.Data.Analysis.DataFrameRowCollection.Item" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrameRow</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="index" Type="System.Int64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="index">The row index</param>
|
||||
<summary>
|
||||
An indexer to return the <see cref="T:Microsoft.Data.Analysis.DataFrameRow" /> at <paramref name="index" /></summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="System.Collections.IEnumerable.GetEnumerator">
|
||||
<MemberSignature Language="C#" Value="System.Collections.IEnumerator IEnumerable.GetEnumerator ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method hidebysig newslot virtual instance class System.Collections.IEnumerator System.Collections.IEnumerable.GetEnumerator() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.DataFrameRowCollection.System#Collections#IEnumerable#GetEnumerator" />
|
||||
<MemberSignature Language="VB.NET" Value="Function GetEnumerator () As IEnumerator Implements IEnumerable.GetEnumerator" />
|
||||
<MemberSignature Language="F#" Value="abstract member System.Collections.IEnumerable.GetEnumerator : unit -> System.Collections.IEnumerator
override this.System.Collections.IEnumerable.GetEnumerator : unit -> System.Collections.IEnumerator" Usage="dataFrameRowCollection.System.Collections.IEnumerable.GetEnumerator " />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:System.Collections.IEnumerable.GetEnumerator</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.IEnumerator</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
|
|
@ -1,64 +0,0 @@
|
|||
<Type Name="DropNullOptions" FullName="Microsoft.Data.Analysis.DropNullOptions">
|
||||
<TypeSignature Language="C#" Value="public enum DropNullOptions" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed DropNullOptions extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.DropNullOptions" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum DropNullOptions" />
|
||||
<TypeSignature Language="F#" Value="type DropNullOptions = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Options for DropNull().
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="All">
|
||||
<MemberSignature Language="C#" Value="All" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.Data.Analysis.DropNullOptions All = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.Data.Analysis.DropNullOptions.All" />
|
||||
<MemberSignature Language="VB.NET" Value="All" />
|
||||
<MemberSignature Language="F#" Value="All = 1" Usage="Microsoft.Data.Analysis.DropNullOptions.All" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DropNullOptions</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
"All" drops a row when all of the row values are null.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Any">
|
||||
<MemberSignature Language="C#" Value="Any" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.Data.Analysis.DropNullOptions Any = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.Data.Analysis.DropNullOptions.Any" />
|
||||
<MemberSignature Language="VB.NET" Value="Any" />
|
||||
<MemberSignature Language="F#" Value="Any = 0" Usage="Microsoft.Data.Analysis.DropNullOptions.Any" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DropNullOptions</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
"Any" drops a row if any of the row values are null.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,323 +0,0 @@
|
|||
<Type Name="GroupBy" FullName="Microsoft.Data.Analysis.GroupBy">
|
||||
<TypeSignature Language="C#" Value="public abstract class GroupBy" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract beforefieldinit GroupBy extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.GroupBy" />
|
||||
<TypeSignature Language="VB.NET" Value="Public MustInherit Class GroupBy" />
|
||||
<TypeSignature Language="F#" Value="type GroupBy = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
A GroupBy class that is typically the result of a DataFrame.GroupBy call.
|
||||
It holds information to perform typical aggregation ops on it.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="protected GroupBy ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method familyhidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Protected Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Count">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame Count (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame Count(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.Count(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function Count (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member Count : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Count columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>
|
||||
Compute the number of non-null values in each group
|
||||
</summary>
|
||||
<returns />
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="First">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame First (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame First(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.First(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function First (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member First : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.First columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>
|
||||
Return the first value in each group
|
||||
</summary>
|
||||
<returns />
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Head">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame Head (int numberOfRows);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame Head(int32 numberOfRows) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.Head(System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function Head (numberOfRows As Integer) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member Head : int -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Head numberOfRows" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="numberOfRows" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="numberOfRows" />
|
||||
<summary>
|
||||
Returns the first <paramref name="numberOfRows" /> rows of each group
|
||||
</summary>
|
||||
<returns />
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Max">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame Max (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame Max(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.Max(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function Max (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member Max : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Max columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">The columns to find the max of. A default value finds the max of all columns</param>
|
||||
<summary>
|
||||
Compute the max of group values
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Mean">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame Mean (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame Mean(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.Mean(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function Mean (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member Mean : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Mean columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">The columns to find the mean of. A Default value finds the mean of all columns</param>
|
||||
<summary>
|
||||
Compute the mean of group values
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Min">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame Min (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame Min(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.Min(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function Min (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member Min : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Min columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">The columns to find the min of. A default value finds the min of all columns</param>
|
||||
<summary>
|
||||
Compute the min of group values
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Product">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame Product (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame Product(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.Product(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function Product (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member Product : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Product columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">The columns to find the product of. A default value finds the product of all columns</param>
|
||||
<summary>
|
||||
Compute the product of group values
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Sum">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame Sum (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame Sum(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.Sum(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function Sum (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member Sum : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Sum columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">The columns to sum. A Default value sums up all columns</param>
|
||||
<summary>
|
||||
Compute the sum of group values
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Tail">
|
||||
<MemberSignature Language="C#" Value="public abstract Microsoft.Data.Analysis.DataFrame Tail (int numberOfRows);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.Data.Analysis.DataFrame Tail(int32 numberOfRows) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy.Tail(System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MustOverride Function Tail (numberOfRows As Integer) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="abstract member Tail : int -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Tail numberOfRows" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="numberOfRows" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="numberOfRows" />
|
||||
<summary>
|
||||
Returns the last <paramref name="numberOfRows" /> rows of each group
|
||||
</summary>
|
||||
<returns />
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,336 +0,0 @@
|
|||
<Type Name="GroupBy<TKey>" FullName="Microsoft.Data.Analysis.GroupBy<TKey>">
|
||||
<TypeSignature Language="C#" Value="public class GroupBy<TKey> : Microsoft.Data.Analysis.GroupBy" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit GroupBy`1<TKey> extends Microsoft.Data.Analysis.GroupBy" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.GroupBy`1" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class GroupBy(Of TKey)
Inherits GroupBy" />
|
||||
<TypeSignature Language="F#" Value="type GroupBy<'Key> = class
 inherit GroupBy" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="TKey" />
|
||||
</TypeParameters>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.Data.Analysis.GroupBy</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<typeparam name="TKey">To be added.</typeparam>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public GroupBy (Microsoft.Data.Analysis.DataFrame dataFrame, int groupByColumnIndex, System.Collections.Generic.IDictionary<TKey,System.Collections.Generic.ICollection<long>> keyToRowIndices);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor(class Microsoft.Data.Analysis.DataFrame dataFrame, int32 groupByColumnIndex, class System.Collections.Generic.IDictionary`2<!TKey, class System.Collections.Generic.ICollection`1<int64>> keyToRowIndices) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.#ctor(Microsoft.Data.Analysis.DataFrame,System.Int32,System.Collections.Generic.IDictionary{`0,System.Collections.Generic.ICollection{System.Int64}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New (dataFrame As DataFrame, groupByColumnIndex As Integer, keyToRowIndices As IDictionary(Of TKey, ICollection(Of Long)))" />
|
||||
<MemberSignature Language="F#" Value="new Microsoft.Data.Analysis.GroupBy<'Key> : Microsoft.Data.Analysis.DataFrame * int * System.Collections.Generic.IDictionary<'Key, System.Collections.Generic.ICollection<int64>> -> Microsoft.Data.Analysis.GroupBy<'Key>" Usage="new Microsoft.Data.Analysis.GroupBy<'Key> (dataFrame, groupByColumnIndex, keyToRowIndices)" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="dataFrame" Type="Microsoft.Data.Analysis.DataFrame" />
|
||||
<Parameter Name="groupByColumnIndex" Type="System.Int32" />
|
||||
<Parameter Name="keyToRowIndices" Type="System.Collections.Generic.IDictionary<TKey,System.Collections.Generic.ICollection<System.Int64>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="dataFrame">To be added.</param>
|
||||
<param name="groupByColumnIndex">To be added.</param>
|
||||
<param name="keyToRowIndices">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Count">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame Count (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame Count(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.Count(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Count (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.Count : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Count columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="First">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame First (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame First(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.First(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function First (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.First : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.First columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Groupings">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IEnumerable<System.Linq.IGrouping<TKey,Microsoft.Data.Analysis.DataFrameRow>> Groupings { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.IEnumerable`1<class System.Linq.IGrouping`2<!TKey, class Microsoft.Data.Analysis.DataFrameRow>> Groupings" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.Data.Analysis.GroupBy`1.Groupings" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Groupings As IEnumerable(Of IGrouping(Of TKey, DataFrameRow))" />
|
||||
<MemberSignature Language="F#" Value="member this.Groupings : seq<System.Linq.IGrouping<'Key, Microsoft.Data.Analysis.DataFrameRow>>" Usage="Microsoft.Data.Analysis.GroupBy<'Key>.Groupings" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<System.Linq.IGrouping<TKey,Microsoft.Data.Analysis.DataFrameRow>></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns a collection of Grouping objects, where each object represent a set of DataFrameRows having the same Key
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Head">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame Head (int numberOfRows);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame Head(int32 numberOfRows) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.Head(System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Head (numberOfRows As Integer) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.Head : int -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Head numberOfRows" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="numberOfRows" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="numberOfRows">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Max">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame Max (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame Max(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.Max(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Max (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.Max : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Max columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Mean">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame Mean (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame Mean(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.Mean(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Mean (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.Mean : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Mean columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Min">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame Min (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame Min(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.Min(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Min (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.Min : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Min columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Product">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame Product (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame Product(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.Product(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Product (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.Product : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Product columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Sum">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame Sum (params string[] columnNames);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame Sum(string[] columnNames) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.Sum(System.String[])" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Sum (ParamArray columnNames As String()) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.Sum : string[] -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Sum columnNames" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnNames" Type="System.String[]">
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ParamArray>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
</Parameter>
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnNames">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Tail">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.Data.Analysis.DataFrame Tail (int numberOfRows);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.Data.Analysis.DataFrame Tail(int32 numberOfRows) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.Data.Analysis.GroupBy`1.Tail(System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function Tail (numberOfRows As Integer) As DataFrame" />
|
||||
<MemberSignature Language="F#" Value="override this.Tail : int -> Microsoft.Data.Analysis.DataFrame" Usage="groupBy.Tail numberOfRows" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.DataFrame</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="numberOfRows" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="numberOfRows">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
|
|
@ -1,96 +0,0 @@
|
|||
<Type Name="JoinAlgorithm" FullName="Microsoft.Data.Analysis.JoinAlgorithm">
|
||||
<TypeSignature Language="C#" Value="public enum JoinAlgorithm" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed JoinAlgorithm extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.Data.Analysis.JoinAlgorithm" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum JoinAlgorithm" />
|
||||
<TypeSignature Language="F#" Value="type JoinAlgorithm = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="FullOuter">
|
||||
<MemberSignature Language="C#" Value="FullOuter" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.Data.Analysis.JoinAlgorithm FullOuter = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.Data.Analysis.JoinAlgorithm.FullOuter" />
|
||||
<MemberSignature Language="VB.NET" Value="FullOuter" />
|
||||
<MemberSignature Language="F#" Value="FullOuter = 2" Usage="Microsoft.Data.Analysis.JoinAlgorithm.FullOuter" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.JoinAlgorithm</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Inner">
|
||||
<MemberSignature Language="C#" Value="Inner" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.Data.Analysis.JoinAlgorithm Inner = int32(3)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.Data.Analysis.JoinAlgorithm.Inner" />
|
||||
<MemberSignature Language="VB.NET" Value="Inner" />
|
||||
<MemberSignature Language="F#" Value="Inner = 3" Usage="Microsoft.Data.Analysis.JoinAlgorithm.Inner" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.JoinAlgorithm</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>3</MemberValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Left">
|
||||
<MemberSignature Language="C#" Value="Left" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.Data.Analysis.JoinAlgorithm Left = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.Data.Analysis.JoinAlgorithm.Left" />
|
||||
<MemberSignature Language="VB.NET" Value="Left" />
|
||||
<MemberSignature Language="F#" Value="Left = 0" Usage="Microsoft.Data.Analysis.JoinAlgorithm.Left" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.JoinAlgorithm</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Right">
|
||||
<MemberSignature Language="C#" Value="Right" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.Data.Analysis.JoinAlgorithm Right = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.Data.Analysis.JoinAlgorithm.Right" />
|
||||
<MemberSignature Language="VB.NET" Value="Right" />
|
||||
<MemberSignature Language="F#" Value="Right = 1" Usage="Microsoft.Data.Analysis.JoinAlgorithm.Right" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.Data.Analysis</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.Data.Analysis.JoinAlgorithm</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
Разница между файлами не показана из-за своего большого размера
Загрузить разницу
|
|
@ -1,476 +0,0 @@
|
|||
<Type Name="AutoCatalog" FullName="Microsoft.ML.AutoML.AutoCatalog">
|
||||
<TypeSignature Language="C#" Value="public sealed class AutoCatalog" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit AutoCatalog extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.AutoCatalog" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class AutoCatalog" />
|
||||
<TypeSignature Language="F#" Value="type AutoCatalog = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
A catalog of all available AutoML tasks.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="CreateBinaryClassificationExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.BinaryClassificationExperiment CreateBinaryClassificationExperiment (Microsoft.ML.AutoML.BinaryExperimentSettings experimentSettings);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.BinaryClassificationExperiment CreateBinaryClassificationExperiment(class Microsoft.ML.AutoML.BinaryExperimentSettings experimentSettings) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateBinaryClassificationExperiment(Microsoft.ML.AutoML.BinaryExperimentSettings)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateBinaryClassificationExperiment (experimentSettings As BinaryExperimentSettings) As BinaryClassificationExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateBinaryClassificationExperiment : Microsoft.ML.AutoML.BinaryExperimentSettings -> Microsoft.ML.AutoML.BinaryClassificationExperiment" Usage="autoCatalog.CreateBinaryClassificationExperiment experimentSettings" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="experimentSettings" Type="Microsoft.ML.AutoML.BinaryExperimentSettings" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="experimentSettings">Settings for the AutoML experiment.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a binary classification dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML binary classification experiment.</returns>
|
||||
<remarks>
|
||||
See <see cref="T:Microsoft.ML.AutoML.BinaryClassificationExperiment" /> for a more detailed code example of an AutoML binary classification experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateBinaryClassificationExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.BinaryClassificationExperiment CreateBinaryClassificationExperiment (uint maxExperimentTimeInSeconds);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.BinaryClassificationExperiment CreateBinaryClassificationExperiment(unsigned int32 maxExperimentTimeInSeconds) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateBinaryClassificationExperiment(System.UInt32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateBinaryClassificationExperiment (maxExperimentTimeInSeconds As UInteger) As BinaryClassificationExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateBinaryClassificationExperiment : uint32 -> Microsoft.ML.AutoML.BinaryClassificationExperiment" Usage="autoCatalog.CreateBinaryClassificationExperiment maxExperimentTimeInSeconds" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="maxExperimentTimeInSeconds" Type="System.UInt32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="maxExperimentTimeInSeconds">Maximum number of seconds that experiment will run.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a binary classification dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML binary classification experiment.</returns>
|
||||
<remarks>
|
||||
<para>See <see cref="T:Microsoft.ML.AutoML.BinaryClassificationExperiment" /> for a more detailed code example of an AutoML binary classification experiment.</para>
|
||||
<para>An experiment may run for longer than <paramref name="maxExperimentTimeInSeconds" />.
|
||||
This is because once AutoML starts training an ML.NET model, AutoML lets the
|
||||
model train to completion. For instance, if the first model
|
||||
AutoML trains takes 4 hours, and the second model trained takes 5 hours,
|
||||
but <paramref name="maxExperimentTimeInSeconds" /> was the number of seconds in 6 hours,
|
||||
the experiment will run for 4 + 5 = 9 hours (not 6 hours).</para>
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateMulticlassClassificationExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.MulticlassClassificationExperiment CreateMulticlassClassificationExperiment (Microsoft.ML.AutoML.MulticlassExperimentSettings experimentSettings);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.MulticlassClassificationExperiment CreateMulticlassClassificationExperiment(class Microsoft.ML.AutoML.MulticlassExperimentSettings experimentSettings) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateMulticlassClassificationExperiment(Microsoft.ML.AutoML.MulticlassExperimentSettings)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateMulticlassClassificationExperiment (experimentSettings As MulticlassExperimentSettings) As MulticlassClassificationExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateMulticlassClassificationExperiment : Microsoft.ML.AutoML.MulticlassExperimentSettings -> Microsoft.ML.AutoML.MulticlassClassificationExperiment" Usage="autoCatalog.CreateMulticlassClassificationExperiment experimentSettings" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="experimentSettings" Type="Microsoft.ML.AutoML.MulticlassExperimentSettings" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="experimentSettings">Settings for the AutoML experiment.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a multiclass classification dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML multiclass classification experiment.</returns>
|
||||
<remarks>
|
||||
See <see cref="T:Microsoft.ML.AutoML.MulticlassClassificationExperiment" /> for a more detailed code example of an AutoML multiclass classification experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateMulticlassClassificationExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.MulticlassClassificationExperiment CreateMulticlassClassificationExperiment (uint maxExperimentTimeInSeconds);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.MulticlassClassificationExperiment CreateMulticlassClassificationExperiment(unsigned int32 maxExperimentTimeInSeconds) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateMulticlassClassificationExperiment(System.UInt32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateMulticlassClassificationExperiment (maxExperimentTimeInSeconds As UInteger) As MulticlassClassificationExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateMulticlassClassificationExperiment : uint32 -> Microsoft.ML.AutoML.MulticlassClassificationExperiment" Usage="autoCatalog.CreateMulticlassClassificationExperiment maxExperimentTimeInSeconds" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="maxExperimentTimeInSeconds" Type="System.UInt32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="maxExperimentTimeInSeconds">Maximum number of seconds that experiment will run.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a multiclass classification dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML multiclass classification experiment.</returns>
|
||||
<remarks>
|
||||
<para>See <see cref="T:Microsoft.ML.AutoML.MulticlassClassificationExperiment" /> for a more detailed code example of an AutoML multiclass classification experiment.</para>
|
||||
<para>An experiment may run for longer than <paramref name="maxExperimentTimeInSeconds" />.
|
||||
This is because once AutoML starts training an ML.NET model, AutoML lets the
|
||||
model train to completion. For instance, if the first model
|
||||
AutoML trains takes 4 hours, and the second model trained takes 5 hours,
|
||||
but <paramref name="maxExperimentTimeInSeconds" /> was the number of seconds in 6 hours,
|
||||
the experiment will run for 4 + 5 = 9 hours (not 6 hours).</para>
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateRankingExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RankingExperiment CreateRankingExperiment (Microsoft.ML.AutoML.RankingExperimentSettings experimentSettings);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.RankingExperiment CreateRankingExperiment(class Microsoft.ML.AutoML.RankingExperimentSettings experimentSettings) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateRankingExperiment(Microsoft.ML.AutoML.RankingExperimentSettings)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateRankingExperiment (experimentSettings As RankingExperimentSettings) As RankingExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateRankingExperiment : Microsoft.ML.AutoML.RankingExperimentSettings -> Microsoft.ML.AutoML.RankingExperiment" Usage="autoCatalog.CreateRankingExperiment experimentSettings" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RankingExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="experimentSettings" Type="Microsoft.ML.AutoML.RankingExperimentSettings" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="experimentSettings">Settings for the AutoML experiment.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a ranking dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML ranking experiment.</returns>
|
||||
<remarks>
|
||||
See <see cref="T:Microsoft.ML.AutoML.RankingExperiment" /> for a more detailed code example of an AutoML ranking experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateRankingExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RankingExperiment CreateRankingExperiment (uint maxExperimentTimeInSeconds);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.RankingExperiment CreateRankingExperiment(unsigned int32 maxExperimentTimeInSeconds) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateRankingExperiment(System.UInt32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateRankingExperiment (maxExperimentTimeInSeconds As UInteger) As RankingExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateRankingExperiment : uint32 -> Microsoft.ML.AutoML.RankingExperiment" Usage="autoCatalog.CreateRankingExperiment maxExperimentTimeInSeconds" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RankingExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="maxExperimentTimeInSeconds" Type="System.UInt32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="maxExperimentTimeInSeconds">Maximum number of seconds that experiment will run.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a ranking dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML ranking experiment.</returns>
|
||||
<remarks>
|
||||
<para>See <see cref="T:Microsoft.ML.AutoML.RankingExperiment" /> for a more detailed code example of an AutoML ranking experiment.</para>
|
||||
<para>An experiment may run for longer than <paramref name="maxExperimentTimeInSeconds" />.
|
||||
This is because once AutoML starts training an ML.NET model, AutoML lets the
|
||||
model train to completion. For instance, if the first model
|
||||
AutoML trains takes 4 hours, and the second model trained takes 5 hours,
|
||||
but <paramref name="maxExperimentTimeInSeconds" /> was the number of seconds in 6 hours,
|
||||
the experiment will run for 4 + 5 = 9 hours (not 6 hours).</para>
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateRecommendationExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RecommendationExperiment CreateRecommendationExperiment (Microsoft.ML.AutoML.RecommendationExperimentSettings experimentSettings);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.RecommendationExperiment CreateRecommendationExperiment(class Microsoft.ML.AutoML.RecommendationExperimentSettings experimentSettings) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateRecommendationExperiment(Microsoft.ML.AutoML.RecommendationExperimentSettings)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateRecommendationExperiment (experimentSettings As RecommendationExperimentSettings) As RecommendationExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateRecommendationExperiment : Microsoft.ML.AutoML.RecommendationExperimentSettings -> Microsoft.ML.AutoML.RecommendationExperiment" Usage="autoCatalog.CreateRecommendationExperiment experimentSettings" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RecommendationExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="experimentSettings" Type="Microsoft.ML.AutoML.RecommendationExperimentSettings" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="experimentSettings">Settings for the AutoML experiment.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a recommendation dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML recommendation experiment.</returns>
|
||||
<remarks>
|
||||
See <see cref="T:Microsoft.ML.AutoML.RecommendationExperiment" /> for a more detailed code example of an AutoML recommendation experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateRecommendationExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RecommendationExperiment CreateRecommendationExperiment (uint maxExperimentTimeInSeconds);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.RecommendationExperiment CreateRecommendationExperiment(unsigned int32 maxExperimentTimeInSeconds) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateRecommendationExperiment(System.UInt32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateRecommendationExperiment (maxExperimentTimeInSeconds As UInteger) As RecommendationExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateRecommendationExperiment : uint32 -> Microsoft.ML.AutoML.RecommendationExperiment" Usage="autoCatalog.CreateRecommendationExperiment maxExperimentTimeInSeconds" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RecommendationExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="maxExperimentTimeInSeconds" Type="System.UInt32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="maxExperimentTimeInSeconds">Maximum number of seconds that experiment will run.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a recommendation classification dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML recommendation classification experiment.</returns>
|
||||
<remarks>
|
||||
<para>See <see cref="T:Microsoft.ML.AutoML.RecommendationExperiment" /> for a more detailed code example of an AutoML multiclass classification experiment.</para>
|
||||
<para>An experiment may run for longer than <paramref name="maxExperimentTimeInSeconds" />.
|
||||
This is because once AutoML starts training an ML.NET model, AutoML lets the
|
||||
model train to completion. For instance, if the first model
|
||||
AutoML trains takes 4 hours, and the second model trained takes 5 hours,
|
||||
but <paramref name="maxExperimentTimeInSeconds" /> was the number of seconds in 6 hours,
|
||||
the experiment will run for 4 + 5 = 9 hours (not 6 hours).</para>
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateRegressionExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RegressionExperiment CreateRegressionExperiment (Microsoft.ML.AutoML.RegressionExperimentSettings experimentSettings);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.RegressionExperiment CreateRegressionExperiment(class Microsoft.ML.AutoML.RegressionExperimentSettings experimentSettings) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateRegressionExperiment(Microsoft.ML.AutoML.RegressionExperimentSettings)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateRegressionExperiment (experimentSettings As RegressionExperimentSettings) As RegressionExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateRegressionExperiment : Microsoft.ML.AutoML.RegressionExperimentSettings -> Microsoft.ML.AutoML.RegressionExperiment" Usage="autoCatalog.CreateRegressionExperiment experimentSettings" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="experimentSettings" Type="Microsoft.ML.AutoML.RegressionExperimentSettings" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="experimentSettings">Settings for the AutoML experiment.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a regression dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML regression experiment.</returns>
|
||||
<remarks>
|
||||
See <see cref="T:Microsoft.ML.AutoML.RegressionExperiment" /> for a more detailed code example of an AutoML regression experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateRegressionExperiment">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RegressionExperiment CreateRegressionExperiment (uint maxExperimentTimeInSeconds);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.RegressionExperiment CreateRegressionExperiment(unsigned int32 maxExperimentTimeInSeconds) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.CreateRegressionExperiment(System.UInt32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function CreateRegressionExperiment (maxExperimentTimeInSeconds As UInteger) As RegressionExperiment" />
|
||||
<MemberSignature Language="F#" Value="member this.CreateRegressionExperiment : uint32 -> Microsoft.ML.AutoML.RegressionExperiment" Usage="autoCatalog.CreateRegressionExperiment maxExperimentTimeInSeconds" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionExperiment</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="maxExperimentTimeInSeconds" Type="System.UInt32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="maxExperimentTimeInSeconds">Maximum number of seconds that experiment will run.</param>
|
||||
<summary>
|
||||
Creates a new AutoML experiment to run on a regression dataset.
|
||||
</summary>
|
||||
<returns>A new AutoML regression experiment.</returns>
|
||||
<remarks>
|
||||
<para>See <see cref="T:Microsoft.ML.AutoML.RegressionExperiment" /> for a more detailed code example of an AutoML regression experiment.</para>
|
||||
<para>An experiment may run for longer than <paramref name="maxExperimentTimeInSeconds" />.
|
||||
This is because once AutoML starts training an ML.NET model, AutoML lets the
|
||||
model train to completion. For instance, if the first model
|
||||
AutoML trains takes 4 hours, and the second model trained takes 5 hours,
|
||||
but <paramref name="maxExperimentTimeInSeconds" /> was the number of seconds in 6 hours,
|
||||
the experiment will run for 4 + 5 = 9 hours (not 6 hours).</para>
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="InferColumns">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.ColumnInferenceResults InferColumns (string path, Microsoft.ML.AutoML.ColumnInformation columnInformation, char? separatorChar = default, bool? allowQuoting = default, bool? allowSparse = default, bool trimWhitespace = false, bool groupColumns = true);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.ColumnInferenceResults InferColumns(string path, class Microsoft.ML.AutoML.ColumnInformation columnInformation, valuetype System.Nullable`1<char> separatorChar, valuetype System.Nullable`1<bool> allowQuoting, valuetype System.Nullable`1<bool> allowSparse, bool trimWhitespace, bool groupColumns) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.InferColumns(System.String,Microsoft.ML.AutoML.ColumnInformation,System.Nullable{System.Char},System.Nullable{System.Boolean},System.Nullable{System.Boolean},System.Boolean,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function InferColumns (path As String, columnInformation As ColumnInformation, Optional separatorChar As Nullable(Of Char) = Nothing, Optional allowQuoting As Nullable(Of Boolean) = Nothing, Optional allowSparse As Nullable(Of Boolean) = Nothing, Optional trimWhitespace As Boolean = false, Optional groupColumns As Boolean = true) As ColumnInferenceResults" />
|
||||
<MemberSignature Language="F#" Value="member this.InferColumns : string * Microsoft.ML.AutoML.ColumnInformation * Nullable<char> * Nullable<bool> * Nullable<bool> * bool * bool -> Microsoft.ML.AutoML.ColumnInferenceResults" Usage="autoCatalog.InferColumns (path, columnInformation, separatorChar, allowQuoting, allowSparse, trimWhitespace, groupColumns)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.ColumnInferenceResults</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="path" Type="System.String" />
|
||||
<Parameter Name="columnInformation" Type="Microsoft.ML.AutoML.ColumnInformation" />
|
||||
<Parameter Name="separatorChar" Type="System.Nullable<System.Char>" />
|
||||
<Parameter Name="allowQuoting" Type="System.Nullable<System.Boolean>" />
|
||||
<Parameter Name="allowSparse" Type="System.Nullable<System.Boolean>" />
|
||||
<Parameter Name="trimWhitespace" Type="System.Boolean" />
|
||||
<Parameter Name="groupColumns" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="path">Path to a dataset file.</param>
|
||||
<param name="columnInformation">Column information for the dataset.</param>
|
||||
<param name="separatorChar">The character used as separator between data elements in a row. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="allowQuoting">Whether the file can contain columns defined by a quoted string. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="allowSparse">Whether the file can contain numerical vectors in sparse format. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="trimWhitespace">Whether trailing whitespace should be removed from dataset file lines.</param>
|
||||
<param name="groupColumns">Whether to group together (when possible) original columns in the dataset file into vector columns in the resulting data structures. See <see cref="T:Microsoft.ML.Data.TextLoader.Range" /> for more information.</param>
|
||||
<summary>
|
||||
Infers information about the columns of a dataset in a file located at <paramref name="path" />.
|
||||
</summary>
|
||||
<returns>Information inferred about the columns in the provided dataset.</returns>
|
||||
<remarks>
|
||||
Infers information about the name, data type, and purpose of each column.
|
||||
The returned <see cref="P:Microsoft.ML.AutoML.ColumnInferenceResults.TextLoaderOptions" /> can be used to
|
||||
instantiate a <see cref="T:Microsoft.ML.Data.TextLoader" />. The <see cref="T:Microsoft.ML.Data.TextLoader" /> can be used to
|
||||
obtain an <see cref="T:Microsoft.ML.IDataView" /> that can be fed into an AutoML experiment,
|
||||
or used elsewhere in the ML.NET ecosystem (ie in <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)" />.
|
||||
The <see cref="T:Microsoft.ML.AutoML.ColumnInformation" /> contains the inferred purpose of each column in the dataset.
|
||||
(For instance, is the column categorical, numeric, or text data? Should the column be ignored? Etc.)
|
||||
The <see cref="T:Microsoft.ML.AutoML.ColumnInformation" /> can be inspected and modified (or kept as is) and used by an AutoML experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="InferColumns">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.ColumnInferenceResults InferColumns (string path, string labelColumnName = "Label", char? separatorChar = default, bool? allowQuoting = default, bool? allowSparse = default, bool trimWhitespace = false, bool groupColumns = true);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.ColumnInferenceResults InferColumns(string path, string labelColumnName, valuetype System.Nullable`1<char> separatorChar, valuetype System.Nullable`1<bool> allowQuoting, valuetype System.Nullable`1<bool> allowSparse, bool trimWhitespace, bool groupColumns) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.InferColumns(System.String,System.String,System.Nullable{System.Char},System.Nullable{System.Boolean},System.Nullable{System.Boolean},System.Boolean,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function InferColumns (path As String, Optional labelColumnName As String = "Label", Optional separatorChar As Nullable(Of Char) = Nothing, Optional allowQuoting As Nullable(Of Boolean) = Nothing, Optional allowSparse As Nullable(Of Boolean) = Nothing, Optional trimWhitespace As Boolean = false, Optional groupColumns As Boolean = true) As ColumnInferenceResults" />
|
||||
<MemberSignature Language="F#" Value="member this.InferColumns : string * string * Nullable<char> * Nullable<bool> * Nullable<bool> * bool * bool -> Microsoft.ML.AutoML.ColumnInferenceResults" Usage="autoCatalog.InferColumns (path, labelColumnName, separatorChar, allowQuoting, allowSparse, trimWhitespace, groupColumns)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.ColumnInferenceResults</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="path" Type="System.String" />
|
||||
<Parameter Name="labelColumnName" Type="System.String" />
|
||||
<Parameter Name="separatorChar" Type="System.Nullable<System.Char>" />
|
||||
<Parameter Name="allowQuoting" Type="System.Nullable<System.Boolean>" />
|
||||
<Parameter Name="allowSparse" Type="System.Nullable<System.Boolean>" />
|
||||
<Parameter Name="trimWhitespace" Type="System.Boolean" />
|
||||
<Parameter Name="groupColumns" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="path">Path to a dataset file.</param>
|
||||
<param name="labelColumnName">The name of the label column.</param>
|
||||
<param name="separatorChar">The character used as separator between data elements in a row. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="allowQuoting">Whether the file can contain columns defined by a quoted string. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="allowSparse">Whether the file can contain numerical vectors in sparse format. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="trimWhitespace">Whether trailing whitespace should be removed from dataset file lines.</param>
|
||||
<param name="groupColumns">Whether to group together (when possible) original columns in the dataset file into vector columns in the resulting data structures. See <see cref="T:Microsoft.ML.Data.TextLoader.Range" /> for more information.</param>
|
||||
<summary>
|
||||
Infers information about the columns of a dataset in a file located at <paramref name="path" />.
|
||||
</summary>
|
||||
<returns>Information inferred about the columns in the provided dataset.</returns>
|
||||
<remarks>
|
||||
Infers information about the name, data type, and purpose of each column.
|
||||
The returned <see cref="P:Microsoft.ML.AutoML.ColumnInferenceResults.TextLoaderOptions" /> can be used to
|
||||
instantiate a <see cref="T:Microsoft.ML.Data.TextLoader" />. The <see cref="T:Microsoft.ML.Data.TextLoader" /> can be used to
|
||||
obtain an <see cref="T:Microsoft.ML.IDataView" /> that can be fed into an AutoML experiment,
|
||||
or used elsewhere in the ML.NET ecosystem (ie in <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)" />.
|
||||
The <see cref="T:Microsoft.ML.AutoML.ColumnInformation" /> contains the inferred purpose of each column in the dataset.
|
||||
(For instance, is the column categorical, numeric, or text data? Should the column be ignored? Etc.)
|
||||
The <see cref="T:Microsoft.ML.AutoML.ColumnInformation" /> can be inspected and modified (or kept as is) and used by an AutoML experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="InferColumns">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.ColumnInferenceResults InferColumns (string path, uint labelColumnIndex, bool hasHeader = false, char? separatorChar = default, bool? allowQuoting = default, bool? allowSparse = default, bool trimWhitespace = false, bool groupColumns = true);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.ColumnInferenceResults InferColumns(string path, unsigned int32 labelColumnIndex, bool hasHeader, valuetype System.Nullable`1<char> separatorChar, valuetype System.Nullable`1<bool> allowQuoting, valuetype System.Nullable`1<bool> allowSparse, bool trimWhitespace, bool groupColumns) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.AutoCatalog.InferColumns(System.String,System.UInt32,System.Boolean,System.Nullable{System.Char},System.Nullable{System.Boolean},System.Nullable{System.Boolean},System.Boolean,System.Boolean)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function InferColumns (path As String, labelColumnIndex As UInteger, Optional hasHeader As Boolean = false, Optional separatorChar As Nullable(Of Char) = Nothing, Optional allowQuoting As Nullable(Of Boolean) = Nothing, Optional allowSparse As Nullable(Of Boolean) = Nothing, Optional trimWhitespace As Boolean = false, Optional groupColumns As Boolean = true) As ColumnInferenceResults" />
|
||||
<MemberSignature Language="F#" Value="member this.InferColumns : string * uint32 * bool * Nullable<char> * Nullable<bool> * Nullable<bool> * bool * bool -> Microsoft.ML.AutoML.ColumnInferenceResults" Usage="autoCatalog.InferColumns (path, labelColumnIndex, hasHeader, separatorChar, allowQuoting, allowSparse, trimWhitespace, groupColumns)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.ColumnInferenceResults</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="path" Type="System.String" />
|
||||
<Parameter Name="labelColumnIndex" Type="System.UInt32" />
|
||||
<Parameter Name="hasHeader" Type="System.Boolean" />
|
||||
<Parameter Name="separatorChar" Type="System.Nullable<System.Char>" />
|
||||
<Parameter Name="allowQuoting" Type="System.Nullable<System.Boolean>" />
|
||||
<Parameter Name="allowSparse" Type="System.Nullable<System.Boolean>" />
|
||||
<Parameter Name="trimWhitespace" Type="System.Boolean" />
|
||||
<Parameter Name="groupColumns" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="path">Path to a dataset file.</param>
|
||||
<param name="labelColumnIndex">Column index of the label column in the dataset.</param>
|
||||
<param name="hasHeader">Whether or not the dataset file has a header row.</param>
|
||||
<param name="separatorChar">The character used as separator between data elements in a row. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="allowQuoting">Whether the file can contain columns defined by a quoted string. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="allowSparse">Whether the file can contain numerical vectors in sparse format. If <see langword="null" />, AutoML will try to infer this value.</param>
|
||||
<param name="trimWhitespace">Whether trailing whitespace should be removed from dataset file lines.</param>
|
||||
<param name="groupColumns">Whether to group together (when possible) original columns in the dataset file into vector columns in the resulting data structures. See <see cref="T:Microsoft.ML.Data.TextLoader.Range" /> for more information.</param>
|
||||
<summary>
|
||||
Infers information about the columns of a dataset in a file located at <paramref name="path" />.
|
||||
</summary>
|
||||
<returns>Information inferred about the columns in the provided dataset.</returns>
|
||||
<remarks>
|
||||
Infers information about the name, data type, and purpose of each column.
|
||||
The returned <see cref="P:Microsoft.ML.AutoML.ColumnInferenceResults.TextLoaderOptions" /> can be used to
|
||||
instantiate a <see cref="T:Microsoft.ML.Data.TextLoader" />. The <see cref="T:Microsoft.ML.Data.TextLoader" /> can be used to
|
||||
obtain an <see cref="T:Microsoft.ML.IDataView" /> that can be fed into an AutoML experiment,
|
||||
or used elsewhere in the ML.NET ecosystem (ie in <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)" />.
|
||||
The <see cref="T:Microsoft.ML.AutoML.ColumnInformation" /> contains the inferred purpose of each column in the dataset.
|
||||
(For instance, is the column categorical, numeric, or text data? Should the column be ignored? Etc.)
|
||||
The <see cref="T:Microsoft.ML.AutoML.ColumnInformation" /> can be inspected and modified (or kept as is) and used by an AutoML experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,31 +0,0 @@
|
|||
<Type Name="BinaryClassificationExperiment" FullName="Microsoft.ML.AutoML.BinaryClassificationExperiment">
|
||||
<TypeSignature Language="C#" Value="public sealed class BinaryClassificationExperiment : Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.BinaryClassificationMetrics,Microsoft.ML.AutoML.BinaryExperimentSettings>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit BinaryClassificationExperiment extends Microsoft.ML.AutoML.ExperimentBase`2<class Microsoft.ML.Data.BinaryClassificationMetrics, class Microsoft.ML.AutoML.BinaryExperimentSettings>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.BinaryClassificationExperiment" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class BinaryClassificationExperiment
Inherits ExperimentBase(Of BinaryClassificationMetrics, BinaryExperimentSettings)" />
|
||||
<TypeSignature Language="F#" Value="type BinaryClassificationExperiment = class
 inherit ExperimentBase<BinaryClassificationMetrics, BinaryExperimentSettings>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.BinaryClassificationMetrics,Microsoft.ML.AutoML.BinaryExperimentSettings></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="TMetrics">Microsoft.ML.Data.BinaryClassificationMetrics</BaseTypeArgument>
|
||||
<BaseTypeArgument TypeParamName="TExperimentSettings">Microsoft.ML.AutoML.BinaryExperimentSettings</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
AutoML experiment on binary classification datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
<example>
|
||||
<format type="text/markdown"><]
|
||||
]]></format>
|
||||
</example>
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
@ -1,190 +0,0 @@
|
|||
<Type Name="BinaryClassificationMetric" FullName="Microsoft.ML.AutoML.BinaryClassificationMetric">
|
||||
<TypeSignature Language="C#" Value="public enum BinaryClassificationMetric" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed BinaryClassificationMetric extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.BinaryClassificationMetric" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum BinaryClassificationMetric" />
|
||||
<TypeSignature Language="F#" Value="type BinaryClassificationMetric = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Binary classification metric that AutoML will aim to optimize in its sweeping process during an experiment.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Accuracy">
|
||||
<MemberSignature Language="C#" Value="Accuracy" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationMetric Accuracy = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationMetric.Accuracy" />
|
||||
<MemberSignature Language="VB.NET" Value="Accuracy" />
|
||||
<MemberSignature Language="F#" Value="Accuracy = 0" Usage="Microsoft.ML.AutoML.BinaryClassificationMetric.Accuracy" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.Accuracy" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="AreaUnderPrecisionRecallCurve">
|
||||
<MemberSignature Language="C#" Value="AreaUnderPrecisionRecallCurve" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationMetric AreaUnderPrecisionRecallCurve = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationMetric.AreaUnderPrecisionRecallCurve" />
|
||||
<MemberSignature Language="VB.NET" Value="AreaUnderPrecisionRecallCurve" />
|
||||
<MemberSignature Language="F#" Value="AreaUnderPrecisionRecallCurve = 2" Usage="Microsoft.ML.AutoML.BinaryClassificationMetric.AreaUnderPrecisionRecallCurve" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.AreaUnderPrecisionRecallCurve" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="AreaUnderRocCurve">
|
||||
<MemberSignature Language="C#" Value="AreaUnderRocCurve" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationMetric AreaUnderRocCurve = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationMetric.AreaUnderRocCurve" />
|
||||
<MemberSignature Language="VB.NET" Value="AreaUnderRocCurve" />
|
||||
<MemberSignature Language="F#" Value="AreaUnderRocCurve = 1" Usage="Microsoft.ML.AutoML.BinaryClassificationMetric.AreaUnderRocCurve" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.AreaUnderRocCurve" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="F1Score">
|
||||
<MemberSignature Language="C#" Value="F1Score" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationMetric F1Score = int32(3)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationMetric.F1Score" />
|
||||
<MemberSignature Language="VB.NET" Value="F1Score" />
|
||||
<MemberSignature Language="F#" Value="F1Score = 3" Usage="Microsoft.ML.AutoML.BinaryClassificationMetric.F1Score" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>3</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.F1Score" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NegativePrecision">
|
||||
<MemberSignature Language="C#" Value="NegativePrecision" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationMetric NegativePrecision = int32(6)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationMetric.NegativePrecision" />
|
||||
<MemberSignature Language="VB.NET" Value="NegativePrecision" />
|
||||
<MemberSignature Language="F#" Value="NegativePrecision = 6" Usage="Microsoft.ML.AutoML.BinaryClassificationMetric.NegativePrecision" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>6</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.NegativePrecision" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NegativeRecall">
|
||||
<MemberSignature Language="C#" Value="NegativeRecall" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationMetric NegativeRecall = int32(7)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationMetric.NegativeRecall" />
|
||||
<MemberSignature Language="VB.NET" Value="NegativeRecall" />
|
||||
<MemberSignature Language="F#" Value="NegativeRecall = 7" Usage="Microsoft.ML.AutoML.BinaryClassificationMetric.NegativeRecall" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>7</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.NegativeRecall" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="PositivePrecision">
|
||||
<MemberSignature Language="C#" Value="PositivePrecision" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationMetric PositivePrecision = int32(4)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationMetric.PositivePrecision" />
|
||||
<MemberSignature Language="VB.NET" Value="PositivePrecision" />
|
||||
<MemberSignature Language="F#" Value="PositivePrecision = 4" Usage="Microsoft.ML.AutoML.BinaryClassificationMetric.PositivePrecision" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>4</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.PositivePrecision" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="PositiveRecall">
|
||||
<MemberSignature Language="C#" Value="PositiveRecall" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationMetric PositiveRecall = int32(5)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationMetric.PositiveRecall" />
|
||||
<MemberSignature Language="VB.NET" Value="PositiveRecall" />
|
||||
<MemberSignature Language="F#" Value="PositiveRecall = 5" Usage="Microsoft.ML.AutoML.BinaryClassificationMetric.PositiveRecall" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>5</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.PositiveRecall" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,211 +0,0 @@
|
|||
<Type Name="BinaryClassificationTrainer" FullName="Microsoft.ML.AutoML.BinaryClassificationTrainer">
|
||||
<TypeSignature Language="C#" Value="public enum BinaryClassificationTrainer" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed BinaryClassificationTrainer extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.BinaryClassificationTrainer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum BinaryClassificationTrainer" />
|
||||
<TypeSignature Language="F#" Value="type BinaryClassificationTrainer = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Enumeration of ML.NET binary classification trainers used by AutoML.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="AveragedPerceptron">
|
||||
<MemberSignature Language="C#" Value="AveragedPerceptron" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer AveragedPerceptron = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.AveragedPerceptron" />
|
||||
<MemberSignature Language="VB.NET" Value="AveragedPerceptron" />
|
||||
<MemberSignature Language="F#" Value="AveragedPerceptron = 0" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.AveragedPerceptron" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FastForest">
|
||||
<MemberSignature Language="C#" Value="FastForest" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer FastForest = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.FastForest" />
|
||||
<MemberSignature Language="VB.NET" Value="FastForest" />
|
||||
<MemberSignature Language="F#" Value="FastForest = 1" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.FastForest" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FastTree">
|
||||
<MemberSignature Language="C#" Value="FastTree" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer FastTree = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.FastTree" />
|
||||
<MemberSignature Language="VB.NET" Value="FastTree" />
|
||||
<MemberSignature Language="F#" Value="FastTree = 2" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.FastTree" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LbfgsLogisticRegression">
|
||||
<MemberSignature Language="C#" Value="LbfgsLogisticRegression" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer LbfgsLogisticRegression = int32(5)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.LbfgsLogisticRegression" />
|
||||
<MemberSignature Language="VB.NET" Value="LbfgsLogisticRegression" />
|
||||
<MemberSignature Language="F#" Value="LbfgsLogisticRegression = 5" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.LbfgsLogisticRegression" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>5</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LightGbm">
|
||||
<MemberSignature Language="C#" Value="LightGbm" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer LightGbm = int32(3)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.LightGbm" />
|
||||
<MemberSignature Language="VB.NET" Value="LightGbm" />
|
||||
<MemberSignature Language="F#" Value="LightGbm = 3" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.LightGbm" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>3</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LinearSvm">
|
||||
<MemberSignature Language="C#" Value="LinearSvm" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer LinearSvm = int32(4)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.LinearSvm" />
|
||||
<MemberSignature Language="VB.NET" Value="LinearSvm" />
|
||||
<MemberSignature Language="F#" Value="LinearSvm = 4" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.LinearSvm" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>4</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.LinearSvmTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SdcaLogisticRegression">
|
||||
<MemberSignature Language="C#" Value="SdcaLogisticRegression" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer SdcaLogisticRegression = int32(6)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.SdcaLogisticRegression" />
|
||||
<MemberSignature Language="VB.NET" Value="SdcaLogisticRegression" />
|
||||
<MemberSignature Language="F#" Value="SdcaLogisticRegression = 6" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.SdcaLogisticRegression" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>6</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SgdCalibrated">
|
||||
<MemberSignature Language="C#" Value="SgdCalibrated" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer SgdCalibrated = int32(7)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.SgdCalibrated" />
|
||||
<MemberSignature Language="VB.NET" Value="SgdCalibrated" />
|
||||
<MemberSignature Language="F#" Value="SgdCalibrated = 7" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.SgdCalibrated" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>7</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.SgdCalibratedTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SymbolicSgdLogisticRegression">
|
||||
<MemberSignature Language="C#" Value="SymbolicSgdLogisticRegression" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer SymbolicSgdLogisticRegression = int32(8)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.BinaryClassificationTrainer.SymbolicSgdLogisticRegression" />
|
||||
<MemberSignature Language="VB.NET" Value="SymbolicSgdLogisticRegression" />
|
||||
<MemberSignature Language="F#" Value="SymbolicSgdLogisticRegression = 8" Usage="Microsoft.ML.AutoML.BinaryClassificationTrainer.SymbolicSgdLogisticRegression" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>8</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,85 +0,0 @@
|
|||
<Type Name="BinaryExperimentSettings" FullName="Microsoft.ML.AutoML.BinaryExperimentSettings">
|
||||
<TypeSignature Language="C#" Value="public sealed class BinaryExperimentSettings : Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit BinaryExperimentSettings extends Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.BinaryExperimentSettings" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class BinaryExperimentSettings
Inherits ExperimentSettings" />
|
||||
<TypeSignature Language="F#" Value="type BinaryExperimentSettings = class
 inherit ExperimentSettings" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentSettings</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Settings for AutoML experiments on binary classification datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public BinaryExperimentSettings ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.BinaryExperimentSettings.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Initializes a new instance of <see cref="T:Microsoft.ML.AutoML.BinaryExperimentSettings" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="OptimizingMetric">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.BinaryClassificationMetric OptimizingMetric { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype Microsoft.ML.AutoML.BinaryClassificationMetric OptimizingMetric" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.BinaryExperimentSettings.OptimizingMetric" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property OptimizingMetric As BinaryClassificationMetric" />
|
||||
<MemberSignature Language="F#" Value="member this.OptimizingMetric : Microsoft.ML.AutoML.BinaryClassificationMetric with get, set" Usage="Microsoft.ML.AutoML.BinaryExperimentSettings.OptimizingMetric" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.BinaryClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Metric that AutoML will try to optimize over the course of the experiment.
|
||||
</summary>
|
||||
<value>The default value is <see cref="F:Microsoft.ML.AutoML.BinaryClassificationMetric.Accuracy" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Trainers">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<Microsoft.ML.AutoML.BinaryClassificationTrainer> Trainers { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<valuetype Microsoft.ML.AutoML.BinaryClassificationTrainer> Trainers" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.BinaryExperimentSettings.Trainers" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Trainers As ICollection(Of BinaryClassificationTrainer)" />
|
||||
<MemberSignature Language="F#" Value="member this.Trainers : System.Collections.Generic.ICollection<Microsoft.ML.AutoML.BinaryClassificationTrainer>" Usage="Microsoft.ML.AutoML.BinaryExperimentSettings.Trainers" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<Microsoft.ML.AutoML.BinaryClassificationTrainer></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Collection of trainers the AutoML experiment can leverage.
|
||||
</summary>
|
||||
<value>The default value is a collection auto-populated with all possible trainers (all values of <see cref="T:Microsoft.ML.AutoML.BinaryClassificationTrainer" />).</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,86 +0,0 @@
|
|||
<Type Name="CacheBeforeTrainer" FullName="Microsoft.ML.AutoML.CacheBeforeTrainer">
|
||||
<TypeSignature Language="C#" Value="public enum CacheBeforeTrainer" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed CacheBeforeTrainer extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.CacheBeforeTrainer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum CacheBeforeTrainer" />
|
||||
<TypeSignature Language="F#" Value="type CacheBeforeTrainer = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Whether AutoML should cache before ML.NET trainers.
|
||||
See <see cref="P:Microsoft.ML.TrainerInfo.WantCaching" /> for more information on caching.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Auto">
|
||||
<MemberSignature Language="C#" Value="Auto" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.CacheBeforeTrainer Auto = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.CacheBeforeTrainer.Auto" />
|
||||
<MemberSignature Language="VB.NET" Value="Auto" />
|
||||
<MemberSignature Language="F#" Value="Auto = 0" Usage="Microsoft.ML.AutoML.CacheBeforeTrainer.Auto" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CacheBeforeTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Dynamically determine whether to cache before each trainer.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Off">
|
||||
<MemberSignature Language="C#" Value="Off" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.CacheBeforeTrainer Off = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.CacheBeforeTrainer.Off" />
|
||||
<MemberSignature Language="VB.NET" Value="Off" />
|
||||
<MemberSignature Language="F#" Value="Off = 2" Usage="Microsoft.ML.AutoML.CacheBeforeTrainer.Off" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CacheBeforeTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Always force caching off.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="On">
|
||||
<MemberSignature Language="C#" Value="On" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.CacheBeforeTrainer On = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.CacheBeforeTrainer.On" />
|
||||
<MemberSignature Language="VB.NET" Value="On" />
|
||||
<MemberSignature Language="F#" Value="On = 1" Usage="Microsoft.ML.AutoML.CacheBeforeTrainer.On" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CacheBeforeTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Always force caching on.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,103 +0,0 @@
|
|||
<Type Name="ColumnInferenceResults" FullName="Microsoft.ML.AutoML.ColumnInferenceResults">
|
||||
<TypeSignature Language="C#" Value="public sealed class ColumnInferenceResults" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit ColumnInferenceResults extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.ColumnInferenceResults" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class ColumnInferenceResults" />
|
||||
<TypeSignature Language="F#" Value="type ColumnInferenceResults = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Contains information AutoML inferred about columns in a dataset.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public ColumnInferenceResults ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ColumnInferenceResults.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ColumnInformation">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.ColumnInformation ColumnInformation { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.ML.AutoML.ColumnInformation ColumnInformation" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInferenceResults.ColumnInformation" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property ColumnInformation As ColumnInformation" />
|
||||
<MemberSignature Language="F#" Value="member this.ColumnInformation : Microsoft.ML.AutoML.ColumnInformation" Usage="Microsoft.ML.AutoML.ColumnInferenceResults.ColumnInformation" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Newtonsoft.Json.JsonProperty(DefaultValueHandling=Newtonsoft.Json.DefaultValueHandling.Include)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Newtonsoft.Json.JsonProperty(DefaultValueHandling=Newtonsoft.Json.DefaultValueHandling.Include)>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.ColumnInformation</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Information about the inferred columns in the dataset.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
<para>Contains the inferred purposes of each column. See <see cref="T:Microsoft.ML.AutoML.ColumnInformation" /> for more details.</para>
|
||||
<para>This can be fed to the AutoML API when running an experiment.
|
||||
See <typeref cref="M:Microsoft.ML.AutoML.ExperimentBase`2.Execute(Microsoft.ML.IDataView,Microsoft.ML.AutoML.ColumnInformation,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.IProgress{Microsoft.ML.AutoML.RunDetail{`0}})" />
|
||||
for example.</para>
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="TextLoaderOptions">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.Data.TextLoader.Options TextLoaderOptions { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.ML.Data.TextLoader/Options TextLoaderOptions" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInferenceResults.TextLoaderOptions" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property TextLoaderOptions As TextLoader.Options" />
|
||||
<MemberSignature Language="F#" Value="member this.TextLoaderOptions : Microsoft.ML.Data.TextLoader.Options" Usage="Microsoft.ML.AutoML.ColumnInferenceResults.TextLoaderOptions" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Newtonsoft.Json.JsonProperty(DefaultValueHandling=Newtonsoft.Json.DefaultValueHandling.Include)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Newtonsoft.Json.JsonProperty(DefaultValueHandling=Newtonsoft.Json.DefaultValueHandling.Include)>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Data.TextLoader+Options</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Inferred <see cref="T:Microsoft.ML.Data.TextLoader.Options" /> for the dataset.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
Can be used to instantiate a new <see cref="T:Microsoft.ML.Data.TextLoader" /> to load
|
||||
data into an <see cref="T:Microsoft.ML.IDataView" />.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,326 +0,0 @@
|
|||
<Type Name="ColumnInformation" FullName="Microsoft.ML.AutoML.ColumnInformation">
|
||||
<TypeSignature Language="C#" Value="public sealed class ColumnInformation" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit ColumnInformation extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.ColumnInformation" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class ColumnInformation" />
|
||||
<TypeSignature Language="F#" Value="type ColumnInformation = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Information about the columns in a dataset.
|
||||
</summary>
|
||||
<remarks>
|
||||
<para>Contains information about the purpose of each column in the dataset. For instance,
|
||||
it enumerates the dataset columns that AutoML should treat as categorical,
|
||||
the columns AutoML should ignore, which column is the label, etc.</para>
|
||||
<para>
|
||||
<see cref="T:Microsoft.ML.AutoML.ColumnInformation" /> can be fed to the AutoML API when running an experiment.
|
||||
See <typeref cref="M:Microsoft.ML.AutoML.ExperimentBase`2.Execute(Microsoft.ML.IDataView,Microsoft.ML.AutoML.ColumnInformation,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.IProgress{Microsoft.ML.AutoML.RunDetail{`0}})" />
|
||||
for example.</para>
|
||||
</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public ColumnInformation ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ColumnInformation.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CategoricalColumnNames">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<string> CategoricalColumnNames { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<string> CategoricalColumnNames" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.CategoricalColumnNames" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property CategoricalColumnNames As ICollection(Of String)" />
|
||||
<MemberSignature Language="F#" Value="member this.CategoricalColumnNames : System.Collections.Generic.ICollection<string>" Usage="Microsoft.ML.AutoML.ColumnInformation.CategoricalColumnNames" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
|
||||
<AttributeName Language="F#">[<Newtonsoft.Json.JsonProperty>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<System.String></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset columns that are categorical.
|
||||
</summary>
|
||||
<value>The default value is a new, empty <see cref="T:System.Collections.ObjectModel.Collection`1" />.</value>
|
||||
<remarks>
|
||||
Categorical data columns should generally be columns that contain a small number of unique values.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ExampleWeightColumnName">
|
||||
<MemberSignature Language="C#" Value="public string ExampleWeightColumnName { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string ExampleWeightColumnName" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.ExampleWeightColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property ExampleWeightColumnName As String" />
|
||||
<MemberSignature Language="F#" Value="member this.ExampleWeightColumnName : string with get, set" Usage="Microsoft.ML.AutoML.ColumnInformation.ExampleWeightColumnName" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset column to use for example weight.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GroupIdColumnName">
|
||||
<MemberSignature Language="C#" Value="public string GroupIdColumnName { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string GroupIdColumnName" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.GroupIdColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property GroupIdColumnName As String" />
|
||||
<MemberSignature Language="F#" Value="member this.GroupIdColumnName : string with get, set" Usage="Microsoft.ML.AutoML.ColumnInformation.GroupIdColumnName" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset column to use as a group ID for computation in a Ranking Task.
|
||||
If a SamplingKeyColumnName is provided, then it should be the same as this column.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="IgnoredColumnNames">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<string> IgnoredColumnNames { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<string> IgnoredColumnNames" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.IgnoredColumnNames" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property IgnoredColumnNames As ICollection(Of String)" />
|
||||
<MemberSignature Language="F#" Value="member this.IgnoredColumnNames : System.Collections.Generic.ICollection<string>" Usage="Microsoft.ML.AutoML.ColumnInformation.IgnoredColumnNames" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
|
||||
<AttributeName Language="F#">[<Newtonsoft.Json.JsonProperty>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<System.String></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset columns that AutoML should ignore.
|
||||
</summary>
|
||||
<value>The default value is a new, empty <see cref="T:System.Collections.ObjectModel.Collection`1" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ImagePathColumnNames">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<string> ImagePathColumnNames { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<string> ImagePathColumnNames" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.ImagePathColumnNames" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property ImagePathColumnNames As ICollection(Of String)" />
|
||||
<MemberSignature Language="F#" Value="member this.ImagePathColumnNames : System.Collections.Generic.ICollection<string>" Usage="Microsoft.ML.AutoML.ColumnInformation.ImagePathColumnNames" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
|
||||
<AttributeName Language="F#">[<Newtonsoft.Json.JsonProperty>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<System.String></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset columns that are image paths.
|
||||
</summary>
|
||||
<value>The default value is a new, empty <see cref="T:System.Collections.ObjectModel.Collection`1" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ItemIdColumnName">
|
||||
<MemberSignature Language="C#" Value="public string ItemIdColumnName { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string ItemIdColumnName" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.ItemIdColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property ItemIdColumnName As String" />
|
||||
<MemberSignature Language="F#" Value="member this.ItemIdColumnName : string with get, set" Usage="Microsoft.ML.AutoML.ColumnInformation.ItemIdColumnName" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset column to use as a item ID for computation.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LabelColumnName">
|
||||
<MemberSignature Language="C#" Value="public string LabelColumnName { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string LabelColumnName" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.LabelColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property LabelColumnName As String" />
|
||||
<MemberSignature Language="F#" Value="member this.LabelColumnName : string with get, set" Usage="Microsoft.ML.AutoML.ColumnInformation.LabelColumnName" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset column to use as the label.
|
||||
</summary>
|
||||
<value>The default value is "Label".</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NumericColumnNames">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<string> NumericColumnNames { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<string> NumericColumnNames" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.NumericColumnNames" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property NumericColumnNames As ICollection(Of String)" />
|
||||
<MemberSignature Language="F#" Value="member this.NumericColumnNames : System.Collections.Generic.ICollection<string>" Usage="Microsoft.ML.AutoML.ColumnInformation.NumericColumnNames" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
|
||||
<AttributeName Language="F#">[<Newtonsoft.Json.JsonProperty>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<System.String></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset columns that are numeric.
|
||||
</summary>
|
||||
<value>The default value is a new, empty <see cref="T:System.Collections.ObjectModel.Collection`1" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SamplingKeyColumnName">
|
||||
<MemberSignature Language="C#" Value="public string SamplingKeyColumnName { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string SamplingKeyColumnName" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.SamplingKeyColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property SamplingKeyColumnName As String" />
|
||||
<MemberSignature Language="F#" Value="member this.SamplingKeyColumnName : string with get, set" Usage="Microsoft.ML.AutoML.ColumnInformation.SamplingKeyColumnName" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset column to use for grouping rows.
|
||||
If two examples share the same sampling key column name,
|
||||
they are guaranteed to appear in the same subset (train or test).
|
||||
This can be used to ensure no label leakage from the train to the test set.
|
||||
If <see langword="null" />, no row grouping will be performed.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="TextColumnNames">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<string> TextColumnNames { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<string> TextColumnNames" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.TextColumnNames" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property TextColumnNames As ICollection(Of String)" />
|
||||
<MemberSignature Language="F#" Value="member this.TextColumnNames : System.Collections.Generic.ICollection<string>" Usage="Microsoft.ML.AutoML.ColumnInformation.TextColumnNames" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
|
||||
<AttributeName Language="F#">[<Newtonsoft.Json.JsonProperty>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<System.String></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset columns that are text.
|
||||
</summary>
|
||||
<value>The default value is a new, empty <see cref="T:System.Collections.ObjectModel.Collection`1" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="UserIdColumnName">
|
||||
<MemberSignature Language="C#" Value="public string UserIdColumnName { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string UserIdColumnName" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ColumnInformation.UserIdColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property UserIdColumnName As String" />
|
||||
<MemberSignature Language="F#" Value="member this.UserIdColumnName : string with get, set" Usage="Microsoft.ML.AutoML.ColumnInformation.UserIdColumnName" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The dataset column to use as a user ID for computation.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,74 +0,0 @@
|
|||
<Type Name="CrossValidationExperimentResult<TMetrics>" FullName="Microsoft.ML.AutoML.CrossValidationExperimentResult<TMetrics>">
|
||||
<TypeSignature Language="C#" Value="public class CrossValidationExperimentResult<TMetrics>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit CrossValidationExperimentResult`1<TMetrics> extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.CrossValidationExperimentResult`1" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class CrossValidationExperimentResult(Of TMetrics)" />
|
||||
<TypeSignature Language="F#" Value="type CrossValidationExperimentResult<'Metrics> = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="TMetrics" />
|
||||
</TypeParameters>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<typeparam name="TMetrics">Metrics type for the experiment (like <see cref="T:Microsoft.ML.Data.BinaryClassificationMetrics" />).</typeparam>
|
||||
<summary>
|
||||
Result of an AutoML experiment that includes cross validation details.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="BestRun">
|
||||
<MemberSignature Language="C#" Value="public readonly Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics> BestRun;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public initonly class Microsoft.ML.AutoML.CrossValidationRunDetail`1<!TMetrics> BestRun" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.CrossValidationExperimentResult`1.BestRun" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly BestRun As CrossValidationRunDetail(Of TMetrics) " />
|
||||
<MemberSignature Language="F#" Value="val mutable BestRun : Microsoft.ML.AutoML.CrossValidationRunDetail<'Metrics>" Usage="Microsoft.ML.AutoML.CrossValidationExperimentResult<'Metrics>.BestRun" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Best run in this experiment.
|
||||
</summary>
|
||||
<remarks>
|
||||
AutoML considers the optimizing metric (like <see cref="P:Microsoft.ML.AutoML.BinaryExperimentSettings.OptimizingMetric" />)
|
||||
when determining the best run.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="RunDetails">
|
||||
<MemberSignature Language="C#" Value="public readonly System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics>> RunDetails;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public initonly class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.AutoML.CrossValidationRunDetail`1<!TMetrics>> RunDetails" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.CrossValidationExperimentResult`1.RunDetails" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly RunDetails As IEnumerable(Of CrossValidationRunDetail(Of TMetrics)) " />
|
||||
<MemberSignature Language="F#" Value="val mutable RunDetails : seq<Microsoft.ML.AutoML.CrossValidationRunDetail<'Metrics>>" Usage="Microsoft.ML.AutoML.CrossValidationExperimentResult<'Metrics>.RunDetails" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics>></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Details of the cross validation runs in this experiment.
|
||||
</summary>
|
||||
<remarks>
|
||||
See <see cref="T:Microsoft.ML.AutoML.CrossValidationRunDetail`1" /> for more information.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,53 +0,0 @@
|
|||
<Type Name="CrossValidationRunDetail<TMetrics>" FullName="Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics>">
|
||||
<TypeSignature Language="C#" Value="public sealed class CrossValidationRunDetail<TMetrics> : Microsoft.ML.AutoML.RunDetail" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit CrossValidationRunDetail`1<TMetrics> extends Microsoft.ML.AutoML.RunDetail" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.CrossValidationRunDetail`1" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class CrossValidationRunDetail(Of TMetrics)
Inherits RunDetail" />
|
||||
<TypeSignature Language="F#" Value="type CrossValidationRunDetail<'Metrics> = class
 inherit RunDetail" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="TMetrics" />
|
||||
</TypeParameters>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.RunDetail</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<typeparam name="TMetrics">Metrics type for the run.</typeparam>
|
||||
<summary>
|
||||
Details about a cross validation run in an AutoML experiment.
|
||||
</summary>
|
||||
<remarks>
|
||||
Over the course of an experiment, many models are evaluated on a dataset
|
||||
using cross validation. This object contains information about each model
|
||||
evaluated during the AutoML experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Results">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.TrainResult<TMetrics>> Results { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.AutoML.TrainResult`1<!TMetrics>> Results" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.CrossValidationRunDetail`1.Results" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Results As IEnumerable(Of TrainResult(Of TMetrics))" />
|
||||
<MemberSignature Language="F#" Value="member this.Results : seq<Microsoft.ML.AutoML.TrainResult<'Metrics>>" Usage="Microsoft.ML.AutoML.CrossValidationRunDetail<'Metrics>.Results" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.TrainResult<TMetrics>></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Results for each of the cross validation folds.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,297 +0,0 @@
|
|||
<Type Name="ExperimentBase<TMetrics,TExperimentSettings>" FullName="Microsoft.ML.AutoML.ExperimentBase<TMetrics,TExperimentSettings>">
|
||||
<TypeSignature Language="C#" Value="public abstract class ExperimentBase<TMetrics,TExperimentSettings> where TMetrics : class where TExperimentSettings : ExperimentSettings" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract beforefieldinit ExperimentBase`2<class TMetrics, (class Microsoft.ML.AutoML.ExperimentSettings) TExperimentSettings> extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.ExperimentBase`2" />
|
||||
<TypeSignature Language="VB.NET" Value="Public MustInherit Class ExperimentBase(Of TMetrics, TExperimentSettings)" />
|
||||
<TypeSignature Language="F#" Value="type ExperimentBase<'Metrics, 'ExperimentSettings (requires 'Metrics : null and 'ExperimentSettings :> ExperimentSettings)> = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="TMetrics">
|
||||
<Constraints>
|
||||
<ParameterAttribute>ReferenceTypeConstraint</ParameterAttribute>
|
||||
</Constraints>
|
||||
</TypeParameter>
|
||||
<TypeParameter Name="TExperimentSettings">
|
||||
<Constraints>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentSettings</BaseTypeName>
|
||||
</Constraints>
|
||||
</TypeParameter>
|
||||
</TypeParameters>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<typeparam name="TMetrics">Metrics type used by task-specific AutoML experiments.</typeparam>
|
||||
<typeparam name="TExperimentSettings">Experiment settings type.</typeparam>
|
||||
<summary>
|
||||
AutoML experiment base class. All task-specific AutoML experiments
|
||||
(like <see cref="T:Microsoft.ML.AutoML.BinaryClassificationExperiment" />) inherit from this class.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Execute">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.ExperimentResult<TMetrics> Execute (Microsoft.ML.IDataView trainData, Microsoft.ML.AutoML.ColumnInformation columnInformation, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.RunDetail<TMetrics>> progressHandler = default);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.ExperimentResult`1<!TMetrics> Execute(class Microsoft.ML.IDataView trainData, class Microsoft.ML.AutoML.ColumnInformation columnInformation, class Microsoft.ML.IEstimator`1<class Microsoft.ML.ITransformer> preFeaturizer, class System.IProgress`1<class Microsoft.ML.AutoML.RunDetail`1<!TMetrics>> progressHandler) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ExperimentBase`2.Execute(Microsoft.ML.IDataView,Microsoft.ML.AutoML.ColumnInformation,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.IProgress{Microsoft.ML.AutoML.RunDetail{`0}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Execute (trainData As IDataView, columnInformation As ColumnInformation, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of TMetrics)) = Nothing) As ExperimentResult(Of TMetrics)" />
|
||||
<MemberSignature Language="F#" Value="member this.Execute : Microsoft.ML.IDataView * Microsoft.ML.AutoML.ColumnInformation * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<'Metrics>> -> Microsoft.ML.AutoML.ExperimentResult<'Metrics (requires 'Metrics : null)>" Usage="experimentBase.Execute (trainData, columnInformation, preFeaturizer, progressHandler)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.ExperimentResult<TMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="trainData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="columnInformation" Type="Microsoft.ML.AutoML.ColumnInformation" />
|
||||
<Parameter Name="preFeaturizer" Type="Microsoft.ML.IEstimator<Microsoft.ML.ITransformer>" />
|
||||
<Parameter Name="progressHandler" Type="System.IProgress<Microsoft.ML.AutoML.RunDetail<TMetrics>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="trainData">The training data to be used by the AutoML experiment.</param>
|
||||
<param name="columnInformation">Column information for the dataset.</param>
|
||||
<param name="preFeaturizer">Pre-featurizer that AutoML will apply to the data during an
|
||||
experiment. (The pre-featurizer will be fit only on the training data split to produce a
|
||||
trained transform. Then, the trained transform will be applied to both the training
|
||||
data split and corresponding validation data split.)</param>
|
||||
<param name="progressHandler">A user-defined object that implements
|
||||
the <see cref="T:System.IProgress`1" /> interface. AutoML will invoke the method
|
||||
<see cref="M:System.IProgress`1.Report(`0)" /> after each model it produces during the
|
||||
course of the experiment.
|
||||
</param>
|
||||
<summary>
|
||||
Executes an AutoML experiment.
|
||||
</summary>
|
||||
<returns>The experiment result.</returns>
|
||||
<remarks>
|
||||
Depending on the size of your data, the AutoML experiment could take a long time to execute.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Execute">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.ExperimentResult<TMetrics> Execute (Microsoft.ML.IDataView trainData, Microsoft.ML.IDataView validationData, Microsoft.ML.AutoML.ColumnInformation columnInformation, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.RunDetail<TMetrics>> progressHandler = default);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.ExperimentResult`1<!TMetrics> Execute(class Microsoft.ML.IDataView trainData, class Microsoft.ML.IDataView validationData, class Microsoft.ML.AutoML.ColumnInformation columnInformation, class Microsoft.ML.IEstimator`1<class Microsoft.ML.ITransformer> preFeaturizer, class System.IProgress`1<class Microsoft.ML.AutoML.RunDetail`1<!TMetrics>> progressHandler) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ExperimentBase`2.Execute(Microsoft.ML.IDataView,Microsoft.ML.IDataView,Microsoft.ML.AutoML.ColumnInformation,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.IProgress{Microsoft.ML.AutoML.RunDetail{`0}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Execute (trainData As IDataView, validationData As IDataView, columnInformation As ColumnInformation, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of TMetrics)) = Nothing) As ExperimentResult(Of TMetrics)" />
|
||||
<MemberSignature Language="F#" Value="member this.Execute : Microsoft.ML.IDataView * Microsoft.ML.IDataView * Microsoft.ML.AutoML.ColumnInformation * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<'Metrics>> -> Microsoft.ML.AutoML.ExperimentResult<'Metrics (requires 'Metrics : null)>" Usage="experimentBase.Execute (trainData, validationData, columnInformation, preFeaturizer, progressHandler)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.ExperimentResult<TMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="trainData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="validationData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="columnInformation" Type="Microsoft.ML.AutoML.ColumnInformation" />
|
||||
<Parameter Name="preFeaturizer" Type="Microsoft.ML.IEstimator<Microsoft.ML.ITransformer>" />
|
||||
<Parameter Name="progressHandler" Type="System.IProgress<Microsoft.ML.AutoML.RunDetail<TMetrics>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="trainData">The training data to be used by the AutoML experiment.</param>
|
||||
<param name="validationData">The validation data to be used by the AutoML experiment.</param>
|
||||
<param name="columnInformation">Column information for the dataset.</param>
|
||||
<param name="preFeaturizer">Pre-featurizer that AutoML will apply to the data during an
|
||||
experiment. (The pre-featurizer will be fit only on the training data split to produce a
|
||||
trained transform. Then, the trained transform will be applied to both the training
|
||||
data split and corresponding validation data split.)</param>
|
||||
<param name="progressHandler">A user-defined object that implements
|
||||
the <see cref="T:System.IProgress`1" /> interface. AutoML will invoke the method
|
||||
<see cref="M:System.IProgress`1.Report(`0)" /> after each model it produces during the
|
||||
course of the experiment.
|
||||
</param>
|
||||
<summary>
|
||||
Executes an AutoML experiment.
|
||||
</summary>
|
||||
<returns>The experiment result.</returns>
|
||||
<remarks>
|
||||
Depending on the size of your data, the AutoML experiment could take a long time to execute.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Execute">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.ExperimentResult<TMetrics> Execute (Microsoft.ML.IDataView trainData, Microsoft.ML.IDataView validationData, string labelColumnName = "Label", Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.RunDetail<TMetrics>> progressHandler = default);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.ExperimentResult`1<!TMetrics> Execute(class Microsoft.ML.IDataView trainData, class Microsoft.ML.IDataView validationData, string labelColumnName, class Microsoft.ML.IEstimator`1<class Microsoft.ML.ITransformer> preFeaturizer, class System.IProgress`1<class Microsoft.ML.AutoML.RunDetail`1<!TMetrics>> progressHandler) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ExperimentBase`2.Execute(Microsoft.ML.IDataView,Microsoft.ML.IDataView,System.String,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.IProgress{Microsoft.ML.AutoML.RunDetail{`0}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Execute (trainData As IDataView, validationData As IDataView, Optional labelColumnName As String = "Label", Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of TMetrics)) = Nothing) As ExperimentResult(Of TMetrics)" />
|
||||
<MemberSignature Language="F#" Value="member this.Execute : Microsoft.ML.IDataView * Microsoft.ML.IDataView * string * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<'Metrics>> -> Microsoft.ML.AutoML.ExperimentResult<'Metrics (requires 'Metrics : null)>" Usage="experimentBase.Execute (trainData, validationData, labelColumnName, preFeaturizer, progressHandler)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.ExperimentResult<TMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="trainData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="validationData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="labelColumnName" Type="System.String" />
|
||||
<Parameter Name="preFeaturizer" Type="Microsoft.ML.IEstimator<Microsoft.ML.ITransformer>" />
|
||||
<Parameter Name="progressHandler" Type="System.IProgress<Microsoft.ML.AutoML.RunDetail<TMetrics>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="trainData">The training data to be used by the AutoML experiment.</param>
|
||||
<param name="validationData">The validation data to be used by the AutoML experiment.</param>
|
||||
<param name="labelColumnName">The name of the label column.</param>
|
||||
<param name="preFeaturizer">Pre-featurizer that AutoML will apply to the data during an
|
||||
experiment. (The pre-featurizer will be fit only on the training data split to produce a
|
||||
trained transform. Then, the trained transform will be applied to both the training
|
||||
data split and corresponding validation data split.)</param>
|
||||
<param name="progressHandler">A user-defined object that implements
|
||||
the <see cref="T:System.IProgress`1" /> interface. AutoML will invoke the method
|
||||
<see cref="M:System.IProgress`1.Report(`0)" /> after each model it produces during the
|
||||
course of the experiment.
|
||||
</param>
|
||||
<summary>
|
||||
Executes an AutoML experiment.
|
||||
</summary>
|
||||
<returns>The experiment result.</returns>
|
||||
<remarks>
|
||||
Depending on the size of your data, the AutoML experiment could take a long time to execute.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Execute">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.ExperimentResult<TMetrics> Execute (Microsoft.ML.IDataView trainData, string labelColumnName = "Label", string samplingKeyColumn = default, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.RunDetail<TMetrics>> progressHandler = default);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.ExperimentResult`1<!TMetrics> Execute(class Microsoft.ML.IDataView trainData, string labelColumnName, string samplingKeyColumn, class Microsoft.ML.IEstimator`1<class Microsoft.ML.ITransformer> preFeaturizer, class System.IProgress`1<class Microsoft.ML.AutoML.RunDetail`1<!TMetrics>> progressHandler) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ExperimentBase`2.Execute(Microsoft.ML.IDataView,System.String,System.String,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.IProgress{Microsoft.ML.AutoML.RunDetail{`0}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Execute (trainData As IDataView, Optional labelColumnName As String = "Label", Optional samplingKeyColumn As String = Nothing, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of RunDetail(Of TMetrics)) = Nothing) As ExperimentResult(Of TMetrics)" />
|
||||
<MemberSignature Language="F#" Value="member this.Execute : Microsoft.ML.IDataView * string * string * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.RunDetail<'Metrics>> -> Microsoft.ML.AutoML.ExperimentResult<'Metrics (requires 'Metrics : null)>" Usage="experimentBase.Execute (trainData, labelColumnName, samplingKeyColumn, preFeaturizer, progressHandler)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.ExperimentResult<TMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="trainData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="labelColumnName" Type="System.String" />
|
||||
<Parameter Name="samplingKeyColumn" Type="System.String" />
|
||||
<Parameter Name="preFeaturizer" Type="Microsoft.ML.IEstimator<Microsoft.ML.ITransformer>" />
|
||||
<Parameter Name="progressHandler" Type="System.IProgress<Microsoft.ML.AutoML.RunDetail<TMetrics>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="trainData">The training data used by the AutoML experiment.</param>
|
||||
<param name="labelColumnName">The dataset column used as the label.</param>
|
||||
<param name="samplingKeyColumn">The dataset column used as the sampling key column.
|
||||
See <see cref="P:Microsoft.ML.AutoML.ColumnInformation.SamplingKeyColumnName" /> for more information.</param>
|
||||
<param name="preFeaturizer">Pre-featurizer that AutoML will apply to the data during an
|
||||
experiment. (The pre-featurizer will be fit only on the training data split to produce a
|
||||
trained transform. Then, the trained transform will be applied to both the training
|
||||
data split and corresponding validation data split.)</param>
|
||||
<param name="progressHandler">A user-defined object that implements
|
||||
the <see cref="T:System.IProgress`1" /> interface. AutoML will invoke the method
|
||||
<see cref="M:System.IProgress`1.Report(`0)" /> after each model it produces during the
|
||||
course of the experiment.
|
||||
</param>
|
||||
<summary>
|
||||
Executes an AutoML experiment.
|
||||
</summary>
|
||||
<returns>The experiment result.</returns>
|
||||
<remarks>
|
||||
Depending on the size of your data, the AutoML experiment could take a long time to execute.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Execute">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.CrossValidationExperimentResult<TMetrics> Execute (Microsoft.ML.IDataView trainData, uint numberOfCVFolds, Microsoft.ML.AutoML.ColumnInformation columnInformation = default, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, IProgress<Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics>> progressHandler = default);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.CrossValidationExperimentResult`1<!TMetrics> Execute(class Microsoft.ML.IDataView trainData, unsigned int32 numberOfCVFolds, class Microsoft.ML.AutoML.ColumnInformation columnInformation, class Microsoft.ML.IEstimator`1<class Microsoft.ML.ITransformer> preFeaturizer, class System.IProgress`1<class Microsoft.ML.AutoML.CrossValidationRunDetail`1<!TMetrics>> progressHandler) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ExperimentBase`2.Execute(Microsoft.ML.IDataView,System.UInt32,Microsoft.ML.AutoML.ColumnInformation,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.IProgress{Microsoft.ML.AutoML.CrossValidationRunDetail{`0}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Execute (trainData As IDataView, numberOfCVFolds As UInteger, Optional columnInformation As ColumnInformation = Nothing, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As IProgress(Of CrossValidationRunDetail(Of TMetrics)) = Nothing) As CrossValidationExperimentResult(Of TMetrics)" />
|
||||
<MemberSignature Language="F#" Value="member this.Execute : Microsoft.ML.IDataView * uint32 * Microsoft.ML.AutoML.ColumnInformation * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * IProgress<Microsoft.ML.AutoML.CrossValidationRunDetail<'Metrics>> -> Microsoft.ML.AutoML.CrossValidationExperimentResult<'Metrics (requires 'Metrics : null)>" Usage="experimentBase.Execute (trainData, numberOfCVFolds, columnInformation, preFeaturizer, progressHandler)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CrossValidationExperimentResult<TMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="trainData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="numberOfCVFolds" Type="System.UInt32" />
|
||||
<Parameter Name="columnInformation" Type="Microsoft.ML.AutoML.ColumnInformation" />
|
||||
<Parameter Name="preFeaturizer" Type="Microsoft.ML.IEstimator<Microsoft.ML.ITransformer>" />
|
||||
<Parameter Name="progressHandler" Type="System.IProgress<Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="trainData">The training data to be used by the AutoML experiment.</param>
|
||||
<param name="numberOfCVFolds">The number of cross validation folds into which the training data should be divided when fitting a model.</param>
|
||||
<param name="columnInformation">Column information for the dataset.</param>
|
||||
<param name="preFeaturizer">Pre-featurizer that AutoML will apply to the data during an
|
||||
experiment. (The pre-featurizer will be fit only on the training data split to produce a
|
||||
trained transform. Then, the trained transform will be applied to both the training
|
||||
data split and corresponding validation data split.)</param>
|
||||
<param name="progressHandler">A user-defined object that implements
|
||||
the <see cref="T:System.IProgress`1" /> interface. AutoML will invoke the method
|
||||
<see cref="M:System.IProgress`1.Report(`0)" /> after each model it produces during the
|
||||
course of the experiment.
|
||||
</param>
|
||||
<summary>
|
||||
Executes an AutoML experiment.
|
||||
</summary>
|
||||
<returns>The cross validation experiment result.</returns>
|
||||
<remarks>
|
||||
Depending on the size of your data, the AutoML experiment could take a long time to execute.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Execute">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.CrossValidationExperimentResult<TMetrics> Execute (Microsoft.ML.IDataView trainData, uint numberOfCVFolds, string labelColumnName = "Label", string samplingKeyColumn = default, Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> preFeaturizer = default, Progress<Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics>> progressHandler = default);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.AutoML.CrossValidationExperimentResult`1<!TMetrics> Execute(class Microsoft.ML.IDataView trainData, unsigned int32 numberOfCVFolds, string labelColumnName, string samplingKeyColumn, class Microsoft.ML.IEstimator`1<class Microsoft.ML.ITransformer> preFeaturizer, class System.Progress`1<class Microsoft.ML.AutoML.CrossValidationRunDetail`1<!TMetrics>> progressHandler) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ExperimentBase`2.Execute(Microsoft.ML.IDataView,System.UInt32,System.String,System.String,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Progress{Microsoft.ML.AutoML.CrossValidationRunDetail{`0}})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Execute (trainData As IDataView, numberOfCVFolds As UInteger, Optional labelColumnName As String = "Label", Optional samplingKeyColumn As String = Nothing, Optional preFeaturizer As IEstimator(Of ITransformer) = Nothing, Optional progressHandler As Progress(Of CrossValidationRunDetail(Of TMetrics)) = Nothing) As CrossValidationExperimentResult(Of TMetrics)" />
|
||||
<MemberSignature Language="F#" Value="member this.Execute : Microsoft.ML.IDataView * uint32 * string * string * Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * Progress<Microsoft.ML.AutoML.CrossValidationRunDetail<'Metrics>> -> Microsoft.ML.AutoML.CrossValidationExperimentResult<'Metrics (requires 'Metrics : null)>" Usage="experimentBase.Execute (trainData, numberOfCVFolds, labelColumnName, samplingKeyColumn, preFeaturizer, progressHandler)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CrossValidationExperimentResult<TMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="trainData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="numberOfCVFolds" Type="System.UInt32" />
|
||||
<Parameter Name="labelColumnName" Type="System.String" />
|
||||
<Parameter Name="samplingKeyColumn" Type="System.String" />
|
||||
<Parameter Name="preFeaturizer" Type="Microsoft.ML.IEstimator<Microsoft.ML.ITransformer>" />
|
||||
<Parameter Name="progressHandler" Type="System.Progress<Microsoft.ML.AutoML.CrossValidationRunDetail<TMetrics>>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="trainData">The training data to be used by the AutoML experiment.</param>
|
||||
<param name="numberOfCVFolds">The number of cross validation folds into which the training data should be divided when fitting a model.</param>
|
||||
<param name="labelColumnName">The name of the label column.</param>
|
||||
<param name="samplingKeyColumn">The name of the sampling key column.</param>
|
||||
<param name="preFeaturizer">Pre-featurizer that AutoML will apply to the data during an
|
||||
experiment. (The pre-featurizer will be fit only on the training data split to produce a
|
||||
trained transform. Then, the trained transform will be applied to both the training
|
||||
data split and corresponding validation data split.)</param>
|
||||
<param name="progressHandler">A user-defined object that implements
|
||||
the <see cref="T:System.IProgress`1" /> interface. AutoML will invoke the method
|
||||
<see cref="M:System.IProgress`1.Report(`0)" /> after each model it produces during the
|
||||
course of the experiment.
|
||||
</param>
|
||||
<summary>
|
||||
Executes an AutoML experiment.
|
||||
</summary>
|
||||
<returns>The cross validation experiment result.</returns>
|
||||
<remarks>
|
||||
Depending on the size of your data, the AutoML experiment could take a long time to execute.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,74 +0,0 @@
|
|||
<Type Name="ExperimentResult<TMetrics>" FullName="Microsoft.ML.AutoML.ExperimentResult<TMetrics>">
|
||||
<TypeSignature Language="C#" Value="public class ExperimentResult<TMetrics>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi beforefieldinit ExperimentResult`1<TMetrics> extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.ExperimentResult`1" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class ExperimentResult(Of TMetrics)" />
|
||||
<TypeSignature Language="F#" Value="type ExperimentResult<'Metrics> = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="TMetrics" />
|
||||
</TypeParameters>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<typeparam name="TMetrics">Metrics type for the experiment (like <see cref="T:Microsoft.ML.Data.BinaryClassificationMetrics" />).</typeparam>
|
||||
<summary>
|
||||
Result of an AutoML experiment.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="BestRun">
|
||||
<MemberSignature Language="C#" Value="public readonly Microsoft.ML.AutoML.RunDetail<TMetrics> BestRun;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public initonly class Microsoft.ML.AutoML.RunDetail`1<!TMetrics> BestRun" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.ExperimentResult`1.BestRun" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly BestRun As RunDetail(Of TMetrics) " />
|
||||
<MemberSignature Language="F#" Value="val mutable BestRun : Microsoft.ML.AutoML.RunDetail<'Metrics>" Usage="Microsoft.ML.AutoML.ExperimentResult<'Metrics>.BestRun" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RunDetail<TMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Best run in this experiment.
|
||||
</summary>
|
||||
<remarks>
|
||||
AutoML considers the optimizing metric (like <see cref="P:Microsoft.ML.AutoML.BinaryExperimentSettings.OptimizingMetric" />)
|
||||
when determining the best run.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="RunDetails">
|
||||
<MemberSignature Language="C#" Value="public readonly System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.RunDetail<TMetrics>> RunDetails;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public initonly class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.AutoML.RunDetail`1<!TMetrics>> RunDetails" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.ExperimentResult`1.RunDetails" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly RunDetails As IEnumerable(Of RunDetail(Of TMetrics)) " />
|
||||
<MemberSignature Language="F#" Value="val mutable RunDetails : seq<Microsoft.ML.AutoML.RunDetail<'Metrics>>" Usage="Microsoft.ML.AutoML.ExperimentResult<'Metrics>.RunDetails" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.RunDetail<TMetrics>></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Details of the runs in this experiment.
|
||||
</summary>
|
||||
<remarks>
|
||||
See <see cref="T:Microsoft.ML.AutoML.RunDetail`1" /> for more information.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,149 +0,0 @@
|
|||
<Type Name="ExperimentSettings" FullName="Microsoft.ML.AutoML.ExperimentSettings">
|
||||
<TypeSignature Language="C#" Value="public abstract class ExperimentSettings" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract beforefieldinit ExperimentSettings extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="VB.NET" Value="Public MustInherit Class ExperimentSettings" />
|
||||
<TypeSignature Language="F#" Value="type ExperimentSettings = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Base class for experiment settings. All task-specific AutoML experiment settings
|
||||
(like <see cref="T:Microsoft.ML.AutoML.BinaryExperimentSettings" />) inherit from this class.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public ExperimentSettings ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.ExperimentSettings.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Initializes a new instance of <see cref="T:Microsoft.ML.AutoML.ExperimentSettings" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CacheBeforeTrainer">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.CacheBeforeTrainer CacheBeforeTrainer { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype Microsoft.ML.AutoML.CacheBeforeTrainer CacheBeforeTrainer" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ExperimentSettings.CacheBeforeTrainer" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property CacheBeforeTrainer As CacheBeforeTrainer" />
|
||||
<MemberSignature Language="F#" Value="member this.CacheBeforeTrainer : Microsoft.ML.AutoML.CacheBeforeTrainer with get, set" Usage="Microsoft.ML.AutoML.ExperimentSettings.CacheBeforeTrainer" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CacheBeforeTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Whether AutoML should cache before ML.NET trainers.
|
||||
See <see cref="P:Microsoft.ML.TrainerInfo.WantCaching" /> for more information on caching.
|
||||
</summary>
|
||||
<value>The default value is <see cref="F:Microsoft.ML.AutoML.CacheBeforeTrainer.Auto" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CacheDirectoryName">
|
||||
<MemberSignature Language="C#" Value="public string CacheDirectoryName { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string CacheDirectoryName" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ExperimentSettings.CacheDirectoryName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property CacheDirectoryName As String" />
|
||||
<MemberSignature Language="F#" Value="member this.CacheDirectoryName : string with get, set" Usage="Microsoft.ML.AutoML.ExperimentSettings.CacheDirectoryName" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
This is the name of the directory where all models trained during the AutoML experiment will be saved.
|
||||
If <see langword="null" />, models will be kept in memory instead of written to disk.
|
||||
(Please note: for an experiment with high runtime operating on a large dataset, opting to keep models in
|
||||
memory could cause a system to run out of memory.)
|
||||
</summary>
|
||||
<value>The default value is the directory named "Microsoft.ML.AutoML" in the in the location specified by the <see cref="P:Microsoft.ML.MLContext.TempFilePath" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CancellationToken">
|
||||
<MemberSignature Language="C#" Value="public System.Threading.CancellationToken CancellationToken { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype System.Threading.CancellationToken CancellationToken" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ExperimentSettings.CancellationToken" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property CancellationToken As CancellationToken" />
|
||||
<MemberSignature Language="F#" Value="member this.CancellationToken : System.Threading.CancellationToken with get, set" Usage="Microsoft.ML.AutoML.ExperimentSettings.CancellationToken" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Threading.CancellationToken</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Cancellation token for the AutoML experiment. It propagates the notification
|
||||
that the experiment should be canceled.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
An experiment may not immediately stop after cancellation.
|
||||
This is because once AutoML starts training an ML.NET model, AutoML lets the
|
||||
model train to completion. For instance, if the first model
|
||||
AutoML trains takes 4 hours, and the second model trained takes 5 hours,
|
||||
but cancellation is requested after 6 hours,
|
||||
the experiment will stop after 4 + 5 = 9 hours (not 6 hours).
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="MaxExperimentTimeInSeconds">
|
||||
<MemberSignature Language="C#" Value="public uint MaxExperimentTimeInSeconds { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance unsigned int32 MaxExperimentTimeInSeconds" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.ExperimentSettings.MaxExperimentTimeInSeconds" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property MaxExperimentTimeInSeconds As UInteger" />
|
||||
<MemberSignature Language="F#" Value="member this.MaxExperimentTimeInSeconds : uint32 with get, set" Usage="Microsoft.ML.AutoML.ExperimentSettings.MaxExperimentTimeInSeconds" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.UInt32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Maximum time in seconds the experiment is allowed to run.
|
||||
</summary>
|
||||
<value>The default value is 86,400, the number of seconds in one day.</value>
|
||||
<remarks>
|
||||
An experiment may run for longer than <see name="MaxExperimentTimeInSeconds" />.
|
||||
This is because once AutoML starts training an ML.NET model, AutoML lets the
|
||||
model train to completion. For instance, if the first model
|
||||
AutoML trains takes 4 hours, and the second model trained takes 5 hours,
|
||||
but <see name="MaxExperimentTimeInSeconds" /> was the number of seconds in 6 hours,
|
||||
the experiment will run for 4 + 5 = 9 hours (not 6 hours).
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,44 +0,0 @@
|
|||
<Type Name="InferenceException" FullName="Microsoft.ML.AutoML.InferenceException">
|
||||
<TypeSignature Language="C#" Value="public sealed class InferenceException : Exception" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit InferenceException extends System.Exception" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.InferenceException" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class InferenceException
Inherits Exception" />
|
||||
<TypeSignature Language="F#" Value="type InferenceException = class
 inherit Exception" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Exception</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Exception thrown by AutoML.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="InferenceExceptionType">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.InferenceExceptionType InferenceExceptionType;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public valuetype Microsoft.ML.AutoML.InferenceExceptionType InferenceExceptionType" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.InferenceException.InferenceExceptionType" />
|
||||
<MemberSignature Language="VB.NET" Value="Public InferenceExceptionType As InferenceExceptionType " />
|
||||
<MemberSignature Language="F#" Value="val mutable InferenceExceptionType : Microsoft.ML.AutoML.InferenceExceptionType" Usage="Microsoft.ML.AutoML.InferenceException.InferenceExceptionType" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.InferenceExceptionType</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Type of AutoML exception that occurred.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,64 +0,0 @@
|
|||
<Type Name="InferenceExceptionType" FullName="Microsoft.ML.AutoML.InferenceExceptionType">
|
||||
<TypeSignature Language="C#" Value="public enum InferenceExceptionType" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed InferenceExceptionType extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.InferenceExceptionType" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum InferenceExceptionType" />
|
||||
<TypeSignature Language="F#" Value="type InferenceExceptionType = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Type of exception encountered by AutoML.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="ColumnDataType">
|
||||
<MemberSignature Language="C#" Value="ColumnDataType" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.InferenceExceptionType ColumnDataType = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.InferenceExceptionType.ColumnDataType" />
|
||||
<MemberSignature Language="VB.NET" Value="ColumnDataType" />
|
||||
<MemberSignature Language="F#" Value="ColumnDataType = 0" Usage="Microsoft.ML.AutoML.InferenceExceptionType.ColumnDataType" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.InferenceExceptionType</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Exception that occurs when AutoML is inferring the data type of a column.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ColumnSplit">
|
||||
<MemberSignature Language="C#" Value="ColumnSplit" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.InferenceExceptionType ColumnSplit = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.InferenceExceptionType.ColumnSplit" />
|
||||
<MemberSignature Language="VB.NET" Value="ColumnSplit" />
|
||||
<MemberSignature Language="F#" Value="ColumnSplit = 1" Usage="Microsoft.ML.AutoML.InferenceExceptionType.ColumnSplit" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.InferenceExceptionType</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Exception that occurs when AutoML is attempting to split a dataset into distinct columns.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,49 +0,0 @@
|
|||
<Type Name="MLContextExtension" FullName="Microsoft.ML.AutoML.MLContextExtension">
|
||||
<TypeSignature Language="C#" Value="public static class MLContextExtension" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract sealed beforefieldinit MLContextExtension extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.MLContextExtension" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Module MLContextExtension" />
|
||||
<TypeSignature Language="F#" Value="type MLContextExtension = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Class containing AutoML extension methods to <see cref="T:Microsoft.ML.MLContext" /></summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Auto">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.AutoCatalog Auto (this Microsoft.ML.MLContext mlContext);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.AutoCatalog Auto(class Microsoft.ML.MLContext mlContext) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.MLContextExtension.Auto(Microsoft.ML.MLContext)" />
|
||||
<MemberSignature Language="VB.NET" Value="<Extension()>
Public Function Auto (mlContext As MLContext) As AutoCatalog" />
|
||||
<MemberSignature Language="F#" Value="static member Auto : Microsoft.ML.MLContext -> Microsoft.ML.AutoML.AutoCatalog" Usage="Microsoft.ML.AutoML.MLContextExtension.Auto mlContext" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.AutoCatalog</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="mlContext" Type="Microsoft.ML.MLContext" RefType="this" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="mlContext">
|
||||
<see cref="T:Microsoft.ML.MLContext" /> instance.</param>
|
||||
<summary>
|
||||
Returns a catalog of all possible AutoML operations.
|
||||
</summary>
|
||||
<returns>A catalog of all possible AutoML operations.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,31 +0,0 @@
|
|||
<Type Name="MulticlassClassificationExperiment" FullName="Microsoft.ML.AutoML.MulticlassClassificationExperiment">
|
||||
<TypeSignature Language="C#" Value="public sealed class MulticlassClassificationExperiment : Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.MulticlassClassificationMetrics,Microsoft.ML.AutoML.MulticlassExperimentSettings>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit MulticlassClassificationExperiment extends Microsoft.ML.AutoML.ExperimentBase`2<class Microsoft.ML.Data.MulticlassClassificationMetrics, class Microsoft.ML.AutoML.MulticlassExperimentSettings>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.MulticlassClassificationExperiment" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class MulticlassClassificationExperiment
Inherits ExperimentBase(Of MulticlassClassificationMetrics, MulticlassExperimentSettings)" />
|
||||
<TypeSignature Language="F#" Value="type MulticlassClassificationExperiment = class
 inherit ExperimentBase<MulticlassClassificationMetrics, MulticlassExperimentSettings>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.MulticlassClassificationMetrics,Microsoft.ML.AutoML.MulticlassExperimentSettings></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="TMetrics">Microsoft.ML.Data.MulticlassClassificationMetrics</BaseTypeArgument>
|
||||
<BaseTypeArgument TypeParamName="TExperimentSettings">Microsoft.ML.AutoML.MulticlassExperimentSettings</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
AutoML experiment on multiclass classification datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
<example>
|
||||
<format type="text/markdown"><]
|
||||
]]></format>
|
||||
</example>
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
@ -1,127 +0,0 @@
|
|||
<Type Name="MulticlassClassificationMetric" FullName="Microsoft.ML.AutoML.MulticlassClassificationMetric">
|
||||
<TypeSignature Language="C#" Value="public enum MulticlassClassificationMetric" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed MulticlassClassificationMetric extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.MulticlassClassificationMetric" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum MulticlassClassificationMetric" />
|
||||
<TypeSignature Language="F#" Value="type MulticlassClassificationMetric = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Multiclass classification metric that AutoML will aim to optimize in its sweeping process during an experiment.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="LogLoss">
|
||||
<MemberSignature Language="C#" Value="LogLoss" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationMetric LogLoss = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationMetric.LogLoss" />
|
||||
<MemberSignature Language="VB.NET" Value="LogLoss" />
|
||||
<MemberSignature Language="F#" Value="LogLoss = 2" Usage="Microsoft.ML.AutoML.MulticlassClassificationMetric.LogLoss" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.LogLoss" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LogLossReduction">
|
||||
<MemberSignature Language="C#" Value="LogLossReduction" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationMetric LogLossReduction = int32(3)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationMetric.LogLossReduction" />
|
||||
<MemberSignature Language="VB.NET" Value="LogLossReduction" />
|
||||
<MemberSignature Language="F#" Value="LogLossReduction = 3" Usage="Microsoft.ML.AutoML.MulticlassClassificationMetric.LogLossReduction" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>3</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.LogLossReduction" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="MacroAccuracy">
|
||||
<MemberSignature Language="C#" Value="MacroAccuracy" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationMetric MacroAccuracy = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationMetric.MacroAccuracy" />
|
||||
<MemberSignature Language="VB.NET" Value="MacroAccuracy" />
|
||||
<MemberSignature Language="F#" Value="MacroAccuracy = 1" Usage="Microsoft.ML.AutoML.MulticlassClassificationMetric.MacroAccuracy" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.MacroAccuracy" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="MicroAccuracy">
|
||||
<MemberSignature Language="C#" Value="MicroAccuracy" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationMetric MicroAccuracy = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationMetric.MicroAccuracy" />
|
||||
<MemberSignature Language="VB.NET" Value="MicroAccuracy" />
|
||||
<MemberSignature Language="F#" Value="MicroAccuracy = 0" Usage="Microsoft.ML.AutoML.MulticlassClassificationMetric.MicroAccuracy" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.MicroAccuracy" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="TopKAccuracy">
|
||||
<MemberSignature Language="C#" Value="TopKAccuracy" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationMetric TopKAccuracy = int32(4)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationMetric.TopKAccuracy" />
|
||||
<MemberSignature Language="VB.NET" Value="TopKAccuracy" />
|
||||
<MemberSignature Language="F#" Value="TopKAccuracy = 4" Usage="Microsoft.ML.AutoML.MulticlassClassificationMetric.TopKAccuracy" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>4</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracy" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,232 +0,0 @@
|
|||
<Type Name="MulticlassClassificationTrainer" FullName="Microsoft.ML.AutoML.MulticlassClassificationTrainer">
|
||||
<TypeSignature Language="C#" Value="public enum MulticlassClassificationTrainer" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed MulticlassClassificationTrainer extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.MulticlassClassificationTrainer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum MulticlassClassificationTrainer" />
|
||||
<TypeSignature Language="F#" Value="type MulticlassClassificationTrainer = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Enumeration of ML.NET multiclass classification trainers used by AutoML.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="AveragedPerceptronOva">
|
||||
<MemberSignature Language="C#" Value="AveragedPerceptronOva" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer AveragedPerceptronOva = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.AveragedPerceptronOva" />
|
||||
<MemberSignature Language="VB.NET" Value="AveragedPerceptronOva" />
|
||||
<MemberSignature Language="F#" Value="AveragedPerceptronOva = 0" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.AveragedPerceptronOva" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
<see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer" /> using <see cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FastForestOva">
|
||||
<MemberSignature Language="C#" Value="FastForestOva" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer FastForestOva = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.FastForestOva" />
|
||||
<MemberSignature Language="VB.NET" Value="FastForestOva" />
|
||||
<MemberSignature Language="F#" Value="FastForestOva = 1" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.FastForestOva" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
<see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer" /> using <see cref="T:Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FastTreeOva">
|
||||
<MemberSignature Language="C#" Value="FastTreeOva" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer FastTreeOva = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.FastTreeOva" />
|
||||
<MemberSignature Language="VB.NET" Value="FastTreeOva" />
|
||||
<MemberSignature Language="F#" Value="FastTreeOva = 2" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.FastTreeOva" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
<see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer" /> using <see cref="T:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LbfgsLogisticRegressionOva">
|
||||
<MemberSignature Language="C#" Value="LbfgsLogisticRegressionOva" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer LbfgsLogisticRegressionOva = int32(6)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.LbfgsLogisticRegressionOva" />
|
||||
<MemberSignature Language="VB.NET" Value="LbfgsLogisticRegressionOva" />
|
||||
<MemberSignature Language="F#" Value="LbfgsLogisticRegressionOva = 6" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.LbfgsLogisticRegressionOva" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>6</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
<see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer" /> using <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LbfgsMaximumEntropy">
|
||||
<MemberSignature Language="C#" Value="LbfgsMaximumEntropy" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer LbfgsMaximumEntropy = int32(5)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.LbfgsMaximumEntropy" />
|
||||
<MemberSignature Language="VB.NET" Value="LbfgsMaximumEntropy" />
|
||||
<MemberSignature Language="F#" Value="LbfgsMaximumEntropy = 5" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.LbfgsMaximumEntropy" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>5</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LightGbm">
|
||||
<MemberSignature Language="C#" Value="LightGbm" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer LightGbm = int32(3)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.LightGbm" />
|
||||
<MemberSignature Language="VB.NET" Value="LightGbm" />
|
||||
<MemberSignature Language="F#" Value="LightGbm = 3" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.LightGbm" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>3</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LinearSupportVectorMachinesOva">
|
||||
<MemberSignature Language="C#" Value="LinearSupportVectorMachinesOva" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer LinearSupportVectorMachinesOva = int32(4)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.LinearSupportVectorMachinesOva" />
|
||||
<MemberSignature Language="VB.NET" Value="LinearSupportVectorMachinesOva" />
|
||||
<MemberSignature Language="F#" Value="LinearSupportVectorMachinesOva = 4" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.LinearSupportVectorMachinesOva" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>4</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
<see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer" /> using <see cref="T:Microsoft.ML.Trainers.LinearSvmTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SdcaMaximumEntropy">
|
||||
<MemberSignature Language="C#" Value="SdcaMaximumEntropy" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer SdcaMaximumEntropy = int32(7)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.SdcaMaximumEntropy" />
|
||||
<MemberSignature Language="VB.NET" Value="SdcaMaximumEntropy" />
|
||||
<MemberSignature Language="F#" Value="SdcaMaximumEntropy = 7" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.SdcaMaximumEntropy" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>7</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SgdCalibratedOva">
|
||||
<MemberSignature Language="C#" Value="SgdCalibratedOva" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer SgdCalibratedOva = int32(8)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.SgdCalibratedOva" />
|
||||
<MemberSignature Language="VB.NET" Value="SgdCalibratedOva" />
|
||||
<MemberSignature Language="F#" Value="SgdCalibratedOva = 8" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.SgdCalibratedOva" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>8</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
<see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer" /> using <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SymbolicSgdLogisticRegressionOva">
|
||||
<MemberSignature Language="C#" Value="SymbolicSgdLogisticRegressionOva" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer SymbolicSgdLogisticRegressionOva = int32(9)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.MulticlassClassificationTrainer.SymbolicSgdLogisticRegressionOva" />
|
||||
<MemberSignature Language="VB.NET" Value="SymbolicSgdLogisticRegressionOva" />
|
||||
<MemberSignature Language="F#" Value="SymbolicSgdLogisticRegressionOva = 9" Usage="Microsoft.ML.AutoML.MulticlassClassificationTrainer.SymbolicSgdLogisticRegressionOva" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>9</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
<see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer" /> using <see cref="T:Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,87 +0,0 @@
|
|||
<Type Name="MulticlassExperimentSettings" FullName="Microsoft.ML.AutoML.MulticlassExperimentSettings">
|
||||
<TypeSignature Language="C#" Value="public sealed class MulticlassExperimentSettings : Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit MulticlassExperimentSettings extends Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.MulticlassExperimentSettings" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class MulticlassExperimentSettings
Inherits ExperimentSettings" />
|
||||
<TypeSignature Language="F#" Value="type MulticlassExperimentSettings = class
 inherit ExperimentSettings" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentSettings</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Settings for AutoML experiments on multiclass classification datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public MulticlassExperimentSettings ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.MulticlassExperimentSettings.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Initializes a new instances of <see cref="T:Microsoft.ML.AutoML.MulticlassExperimentSettings" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="OptimizingMetric">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.MulticlassClassificationMetric OptimizingMetric { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype Microsoft.ML.AutoML.MulticlassClassificationMetric OptimizingMetric" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.MulticlassExperimentSettings.OptimizingMetric" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property OptimizingMetric As MulticlassClassificationMetric" />
|
||||
<MemberSignature Language="F#" Value="member this.OptimizingMetric : Microsoft.ML.AutoML.MulticlassClassificationMetric with get, set" Usage="Microsoft.ML.AutoML.MulticlassExperimentSettings.OptimizingMetric" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.MulticlassClassificationMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Metric that AutoML will try to optimize over the course of the experiment.
|
||||
</summary>
|
||||
<value>The default value is <see cref="F:Microsoft.ML.AutoML.MulticlassClassificationMetric.MicroAccuracy" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Trainers">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<Microsoft.ML.AutoML.MulticlassClassificationTrainer> Trainers { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<valuetype Microsoft.ML.AutoML.MulticlassClassificationTrainer> Trainers" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.MulticlassExperimentSettings.Trainers" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Trainers As ICollection(Of MulticlassClassificationTrainer)" />
|
||||
<MemberSignature Language="F#" Value="member this.Trainers : System.Collections.Generic.ICollection<Microsoft.ML.AutoML.MulticlassClassificationTrainer>" Usage="Microsoft.ML.AutoML.MulticlassExperimentSettings.Trainers" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<Microsoft.ML.AutoML.MulticlassClassificationTrainer></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Collection of trainers the AutoML experiment can leverage.
|
||||
</summary>
|
||||
<value>
|
||||
The default value is a collection auto-populated with all possible trainers (all values of <see cref="T:Microsoft.ML.AutoML.MulticlassClassificationTrainer" />).
|
||||
</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,31 +0,0 @@
|
|||
<Type Name="RankingExperiment" FullName="Microsoft.ML.AutoML.RankingExperiment">
|
||||
<TypeSignature Language="C#" Value="public sealed class RankingExperiment : Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.RankingMetrics,Microsoft.ML.AutoML.RankingExperimentSettings>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit RankingExperiment extends Microsoft.ML.AutoML.ExperimentBase`2<class Microsoft.ML.Data.RankingMetrics, class Microsoft.ML.AutoML.RankingExperimentSettings>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RankingExperiment" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class RankingExperiment
Inherits ExperimentBase(Of RankingMetrics, RankingExperimentSettings)" />
|
||||
<TypeSignature Language="F#" Value="type RankingExperiment = class
 inherit ExperimentBase<RankingMetrics, RankingExperimentSettings>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.RankingMetrics,Microsoft.ML.AutoML.RankingExperimentSettings></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="TMetrics">Microsoft.ML.Data.RankingMetrics</BaseTypeArgument>
|
||||
<BaseTypeArgument TypeParamName="TExperimentSettings">Microsoft.ML.AutoML.RankingExperimentSettings</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
AutoML experiment on ranking datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
<example>
|
||||
<format type="text/markdown"><]
|
||||
]]></format>
|
||||
</example>
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
@ -1,83 +0,0 @@
|
|||
<Type Name="RankingExperimentResultExtensions" FullName="Microsoft.ML.AutoML.RankingExperimentResultExtensions">
|
||||
<TypeSignature Language="C#" Value="public static class RankingExperimentResultExtensions" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract sealed beforefieldinit RankingExperimentResultExtensions extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RankingExperimentResultExtensions" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Module RankingExperimentResultExtensions" />
|
||||
<TypeSignature Language="F#" Value="type RankingExperimentResultExtensions = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Extension methods that operate over ranking experiment run results.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Best">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RankingMetrics> Best (this System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RankingMetrics>> results, Microsoft.ML.AutoML.RankingMetric metric = Microsoft.ML.AutoML.RankingMetric.Ndcg, uint optimizationMetricTruncationLevel = 10);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.CrossValidationRunDetail`1<class Microsoft.ML.Data.RankingMetrics> Best(class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.AutoML.CrossValidationRunDetail`1<class Microsoft.ML.Data.RankingMetrics>> results, valuetype Microsoft.ML.AutoML.RankingMetric metric, unsigned int32 optimizationMetricTruncationLevel) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.CrossValidationRunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric,System.UInt32)" />
|
||||
<MemberSignature Language="VB.NET" Value="<Extension()>
Public Function Best (results As IEnumerable(Of CrossValidationRunDetail(Of RankingMetrics)), Optional metric As RankingMetric = Microsoft.ML.AutoML.RankingMetric.Ndcg, Optional optimizationMetricTruncationLevel As UInteger = 10) As CrossValidationRunDetail(Of RankingMetrics)" />
|
||||
<MemberSignature Language="F#" Value="static member Best : seq<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RankingMetrics>> * Microsoft.ML.AutoML.RankingMetric * uint32 -> Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RankingMetrics>" Usage="Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best (results, metric, optimizationMetricTruncationLevel)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RankingMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="results" Type="System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RankingMetrics>>" RefType="this" />
|
||||
<Parameter Name="metric" Type="Microsoft.ML.AutoML.RankingMetric" />
|
||||
<Parameter Name="optimizationMetricTruncationLevel" Type="System.UInt32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="results">Enumeration of AutoML experiment cross validation run results.</param>
|
||||
<param name="metric">Metric to consider when selecting the best run.</param>
|
||||
<param name="optimizationMetricTruncationLevel">Maximum truncation level for computing (N)DCG. Defaults to 10.</param>
|
||||
<summary>
|
||||
Select the best run from an enumeration of experiment cross validation runs.
|
||||
</summary>
|
||||
<returns>The best experiment run.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Best">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RankingMetrics> Best (this System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RankingMetrics>> results, Microsoft.ML.AutoML.RankingMetric metric = Microsoft.ML.AutoML.RankingMetric.Ndcg, uint optimizationMetricTruncationLevel = 10);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.RunDetail`1<class Microsoft.ML.Data.RankingMetrics> Best(class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.AutoML.RunDetail`1<class Microsoft.ML.Data.RankingMetrics>> results, valuetype Microsoft.ML.AutoML.RankingMetric metric, unsigned int32 optimizationMetricTruncationLevel) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.RunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric,System.UInt32)" />
|
||||
<MemberSignature Language="VB.NET" Value="<Extension()>
Public Function Best (results As IEnumerable(Of RunDetail(Of RankingMetrics)), Optional metric As RankingMetric = Microsoft.ML.AutoML.RankingMetric.Ndcg, Optional optimizationMetricTruncationLevel As UInteger = 10) As RunDetail(Of RankingMetrics)" />
|
||||
<MemberSignature Language="F#" Value="static member Best : seq<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RankingMetrics>> * Microsoft.ML.AutoML.RankingMetric * uint32 -> Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RankingMetrics>" Usage="Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best (results, metric, optimizationMetricTruncationLevel)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RankingMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="results" Type="System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RankingMetrics>>" RefType="this" />
|
||||
<Parameter Name="metric" Type="Microsoft.ML.AutoML.RankingMetric" />
|
||||
<Parameter Name="optimizationMetricTruncationLevel" Type="System.UInt32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="results">Enumeration of AutoML experiment run results.</param>
|
||||
<param name="metric">Metric to consider when selecting the best run.</param>
|
||||
<param name="optimizationMetricTruncationLevel">Maximum truncation level for computing (N)DCG. Defaults to 10.</param>
|
||||
<summary>
|
||||
Select the best run from an enumeration of experiment runs.
|
||||
</summary>
|
||||
<returns>The best experiment run.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,109 +0,0 @@
|
|||
<Type Name="RankingExperimentSettings" FullName="Microsoft.ML.AutoML.RankingExperimentSettings">
|
||||
<TypeSignature Language="C#" Value="public sealed class RankingExperimentSettings : Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit RankingExperimentSettings extends Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RankingExperimentSettings" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class RankingExperimentSettings
Inherits ExperimentSettings" />
|
||||
<TypeSignature Language="F#" Value="type RankingExperimentSettings = class
 inherit ExperimentSettings" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentSettings</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public RankingExperimentSettings ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RankingExperimentSettings.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Initializes a new instance of <see cref="T:Microsoft.ML.AutoML.RankingExperimentSettings" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="OptimizationMetricTruncationLevel">
|
||||
<MemberSignature Language="C#" Value="public uint OptimizationMetricTruncationLevel { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance unsigned int32 OptimizationMetricTruncationLevel" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RankingExperimentSettings.OptimizationMetricTruncationLevel" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property OptimizationMetricTruncationLevel As UInteger" />
|
||||
<MemberSignature Language="F#" Value="member this.OptimizationMetricTruncationLevel : uint32 with get, set" Usage="Microsoft.ML.AutoML.RankingExperimentSettings.OptimizationMetricTruncationLevel" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.UInt32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Maximum truncation level for computing (N)DCG
|
||||
</summary>
|
||||
<value>
|
||||
The default value is 10.
|
||||
</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="OptimizingMetric">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RankingMetric OptimizingMetric { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype Microsoft.ML.AutoML.RankingMetric OptimizingMetric" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RankingExperimentSettings.OptimizingMetric" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property OptimizingMetric As RankingMetric" />
|
||||
<MemberSignature Language="F#" Value="member this.OptimizingMetric : Microsoft.ML.AutoML.RankingMetric with get, set" Usage="Microsoft.ML.AutoML.RankingExperimentSettings.OptimizingMetric" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RankingMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Metric that AutoML will try to optimize over the course of the experiment.
|
||||
</summary>
|
||||
<value>The default value is <see cref="T:Microsoft.ML.AutoML.RankingMetric" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Trainers">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RankingTrainer> Trainers { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<valuetype Microsoft.ML.AutoML.RankingTrainer> Trainers" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RankingExperimentSettings.Trainers" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Trainers As ICollection(Of RankingTrainer)" />
|
||||
<MemberSignature Language="F#" Value="member this.Trainers : System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RankingTrainer>" Usage="Microsoft.ML.AutoML.RankingExperimentSettings.Trainers" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RankingTrainer></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Collection of trainers the AutoML experiment can leverage.
|
||||
</summary>
|
||||
<value>
|
||||
The default value is a collection auto-populated with all possible trainers (all values of <see cref="T:Microsoft.ML.AutoML.RankingTrainer" />).
|
||||
</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,62 +0,0 @@
|
|||
<Type Name="RankingMetric" FullName="Microsoft.ML.AutoML.RankingMetric">
|
||||
<TypeSignature Language="C#" Value="public enum RankingMetric" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed RankingMetric extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RankingMetric" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum RankingMetric" />
|
||||
<TypeSignature Language="F#" Value="type RankingMetric = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Dcg">
|
||||
<MemberSignature Language="C#" Value="Dcg" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RankingMetric Dcg = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RankingMetric.Dcg" />
|
||||
<MemberSignature Language="VB.NET" Value="Dcg" />
|
||||
<MemberSignature Language="F#" Value="Dcg = 1" Usage="Microsoft.ML.AutoML.RankingMetric.Dcg" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RankingMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.RankingMetrics.DiscountedCumulativeGains" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Ndcg">
|
||||
<MemberSignature Language="C#" Value="Ndcg" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RankingMetric Ndcg = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RankingMetric.Ndcg" />
|
||||
<MemberSignature Language="VB.NET" Value="Ndcg" />
|
||||
<MemberSignature Language="F#" Value="Ndcg = 0" Usage="Microsoft.ML.AutoML.RankingMetric.Ndcg" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RankingMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.RankingMetrics.NormalizedDiscountedCumulativeGains" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,64 +0,0 @@
|
|||
<Type Name="RankingTrainer" FullName="Microsoft.ML.AutoML.RankingTrainer">
|
||||
<TypeSignature Language="C#" Value="public enum RankingTrainer" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed RankingTrainer extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RankingTrainer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum RankingTrainer" />
|
||||
<TypeSignature Language="F#" Value="type RankingTrainer = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Enumeration of ML.NET ranking trainers used by AutoML.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="FastTreeRanking">
|
||||
<MemberSignature Language="C#" Value="FastTreeRanking" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RankingTrainer FastTreeRanking = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RankingTrainer.FastTreeRanking" />
|
||||
<MemberSignature Language="VB.NET" Value="FastTreeRanking" />
|
||||
<MemberSignature Language="F#" Value="FastTreeRanking = 1" Usage="Microsoft.ML.AutoML.RankingTrainer.FastTreeRanking" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RankingTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LightGbmRanking">
|
||||
<MemberSignature Language="C#" Value="LightGbmRanking" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RankingTrainer LightGbmRanking = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RankingTrainer.LightGbmRanking" />
|
||||
<MemberSignature Language="VB.NET" Value="LightGbmRanking" />
|
||||
<MemberSignature Language="F#" Value="LightGbmRanking = 0" Usage="Microsoft.ML.AutoML.RankingTrainer.LightGbmRanking" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RankingTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,31 +0,0 @@
|
|||
<Type Name="RecommendationExperiment" FullName="Microsoft.ML.AutoML.RecommendationExperiment">
|
||||
<TypeSignature Language="C#" Value="public sealed class RecommendationExperiment : Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.RegressionMetrics,Microsoft.ML.AutoML.RecommendationExperimentSettings>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit RecommendationExperiment extends Microsoft.ML.AutoML.ExperimentBase`2<class Microsoft.ML.Data.RegressionMetrics, class Microsoft.ML.AutoML.RecommendationExperimentSettings>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RecommendationExperiment" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class RecommendationExperiment
Inherits ExperimentBase(Of RegressionMetrics, RecommendationExperimentSettings)" />
|
||||
<TypeSignature Language="F#" Value="type RecommendationExperiment = class
 inherit ExperimentBase<RegressionMetrics, RecommendationExperimentSettings>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.RegressionMetrics,Microsoft.ML.AutoML.RecommendationExperimentSettings></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="TMetrics">Microsoft.ML.Data.RegressionMetrics</BaseTypeArgument>
|
||||
<BaseTypeArgument TypeParamName="TExperimentSettings">Microsoft.ML.AutoML.RecommendationExperimentSettings</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
AutoML experiment on recommendation datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
<example>
|
||||
<format type="text/markdown"><]
|
||||
]]></format>
|
||||
</example>
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
@ -1,85 +0,0 @@
|
|||
<Type Name="RecommendationExperimentSettings" FullName="Microsoft.ML.AutoML.RecommendationExperimentSettings">
|
||||
<TypeSignature Language="C#" Value="public sealed class RecommendationExperimentSettings : Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit RecommendationExperimentSettings extends Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RecommendationExperimentSettings" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class RecommendationExperimentSettings
Inherits ExperimentSettings" />
|
||||
<TypeSignature Language="F#" Value="type RecommendationExperimentSettings = class
 inherit ExperimentSettings" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentSettings</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Settings for AutoML experiments on recommendation datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public RecommendationExperimentSettings ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RecommendationExperimentSettings.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Initializes a new instance of <see cref="T:Microsoft.ML.AutoML.RecommendationExperimentSettings" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="OptimizingMetric">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RegressionMetric OptimizingMetric { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype Microsoft.ML.AutoML.RegressionMetric OptimizingMetric" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RecommendationExperimentSettings.OptimizingMetric" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property OptimizingMetric As RegressionMetric" />
|
||||
<MemberSignature Language="F#" Value="member this.OptimizingMetric : Microsoft.ML.AutoML.RegressionMetric with get, set" Usage="Microsoft.ML.AutoML.RecommendationExperimentSettings.OptimizingMetric" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Metric that AutoML will try to optimize over the course of the experiment.
|
||||
</summary>
|
||||
<value>The default value is <see cref="F:Microsoft.ML.AutoML.RegressionMetric.RSquared" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Trainers">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RecommendationTrainer> Trainers { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<valuetype Microsoft.ML.AutoML.RecommendationTrainer> Trainers" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RecommendationExperimentSettings.Trainers" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Trainers As ICollection(Of RecommendationTrainer)" />
|
||||
<MemberSignature Language="F#" Value="member this.Trainers : System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RecommendationTrainer>" Usage="Microsoft.ML.AutoML.RecommendationExperimentSettings.Trainers" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RecommendationTrainer></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Collection of trainers the AutoML experiment can leverage.
|
||||
</summary>
|
||||
<value>The default value is a collection auto-populated with all possible trainers (all values of <see cref="T:Microsoft.ML.AutoML.RecommendationTrainer" />).</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,41 +0,0 @@
|
|||
<Type Name="RecommendationTrainer" FullName="Microsoft.ML.AutoML.RecommendationTrainer">
|
||||
<TypeSignature Language="C#" Value="public enum RecommendationTrainer" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed RecommendationTrainer extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RecommendationTrainer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum RecommendationTrainer" />
|
||||
<TypeSignature Language="F#" Value="type RecommendationTrainer = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Enumeration of ML.NET recommendation trainers used by AutoML.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="MatrixFactorization">
|
||||
<MemberSignature Language="C#" Value="MatrixFactorization" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RecommendationTrainer MatrixFactorization = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RecommendationTrainer.MatrixFactorization" />
|
||||
<MemberSignature Language="VB.NET" Value="MatrixFactorization" />
|
||||
<MemberSignature Language="F#" Value="MatrixFactorization = 0" Usage="Microsoft.ML.AutoML.RecommendationTrainer.MatrixFactorization" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RecommendationTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,31 +0,0 @@
|
|||
<Type Name="RegressionExperiment" FullName="Microsoft.ML.AutoML.RegressionExperiment">
|
||||
<TypeSignature Language="C#" Value="public sealed class RegressionExperiment : Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.RegressionMetrics,Microsoft.ML.AutoML.RegressionExperimentSettings>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit RegressionExperiment extends Microsoft.ML.AutoML.ExperimentBase`2<class Microsoft.ML.Data.RegressionMetrics, class Microsoft.ML.AutoML.RegressionExperimentSettings>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RegressionExperiment" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class RegressionExperiment
Inherits ExperimentBase(Of RegressionMetrics, RegressionExperimentSettings)" />
|
||||
<TypeSignature Language="F#" Value="type RegressionExperiment = class
 inherit ExperimentBase<RegressionMetrics, RegressionExperimentSettings>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentBase<Microsoft.ML.Data.RegressionMetrics,Microsoft.ML.AutoML.RegressionExperimentSettings></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="TMetrics">Microsoft.ML.Data.RegressionMetrics</BaseTypeArgument>
|
||||
<BaseTypeArgument TypeParamName="TExperimentSettings">Microsoft.ML.AutoML.RegressionExperimentSettings</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
AutoML experiment on regression classification datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
<example>
|
||||
<format type="text/markdown"><]
|
||||
]]></format>
|
||||
</example>
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
@ -1,79 +0,0 @@
|
|||
<Type Name="RegressionExperimentResultExtensions" FullName="Microsoft.ML.AutoML.RegressionExperimentResultExtensions">
|
||||
<TypeSignature Language="C#" Value="public static class RegressionExperimentResultExtensions" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract sealed beforefieldinit RegressionExperimentResultExtensions extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RegressionExperimentResultExtensions" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Module RegressionExperimentResultExtensions" />
|
||||
<TypeSignature Language="F#" Value="type RegressionExperimentResultExtensions = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Extension methods that operate over regression experiment run results.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Best">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RegressionMetrics> Best (this System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RegressionMetrics>> results, Microsoft.ML.AutoML.RegressionMetric metric = Microsoft.ML.AutoML.RegressionMetric.RSquared);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.CrossValidationRunDetail`1<class Microsoft.ML.Data.RegressionMetrics> Best(class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.AutoML.CrossValidationRunDetail`1<class Microsoft.ML.Data.RegressionMetrics>> results, valuetype Microsoft.ML.AutoML.RegressionMetric metric) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RegressionExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.CrossValidationRunDetail{Microsoft.ML.Data.RegressionMetrics}},Microsoft.ML.AutoML.RegressionMetric)" />
|
||||
<MemberSignature Language="VB.NET" Value="<Extension()>
Public Function Best (results As IEnumerable(Of CrossValidationRunDetail(Of RegressionMetrics)), Optional metric As RegressionMetric = Microsoft.ML.AutoML.RegressionMetric.RSquared) As CrossValidationRunDetail(Of RegressionMetrics)" />
|
||||
<MemberSignature Language="F#" Value="static member Best : seq<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RegressionMetrics>> * Microsoft.ML.AutoML.RegressionMetric -> Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RegressionMetrics>" Usage="Microsoft.ML.AutoML.RegressionExperimentResultExtensions.Best (results, metric)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RegressionMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="results" Type="System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.CrossValidationRunDetail<Microsoft.ML.Data.RegressionMetrics>>" RefType="this" />
|
||||
<Parameter Name="metric" Type="Microsoft.ML.AutoML.RegressionMetric" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="results">Enumeration of AutoML experiment cross validation run results.</param>
|
||||
<param name="metric">Metric to consider when selecting the best run.</param>
|
||||
<summary>
|
||||
Select the best run from an enumeration of experiment cross validation runs.
|
||||
</summary>
|
||||
<returns>The best experiment run.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Best">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RegressionMetrics> Best (this System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RegressionMetrics>> results, Microsoft.ML.AutoML.RegressionMetric metric = Microsoft.ML.AutoML.RegressionMetric.RSquared);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.RunDetail`1<class Microsoft.ML.Data.RegressionMetrics> Best(class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.AutoML.RunDetail`1<class Microsoft.ML.Data.RegressionMetrics>> results, valuetype Microsoft.ML.AutoML.RegressionMetric metric) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RegressionExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.RunDetail{Microsoft.ML.Data.RegressionMetrics}},Microsoft.ML.AutoML.RegressionMetric)" />
|
||||
<MemberSignature Language="VB.NET" Value="<Extension()>
Public Function Best (results As IEnumerable(Of RunDetail(Of RegressionMetrics)), Optional metric As RegressionMetric = Microsoft.ML.AutoML.RegressionMetric.RSquared) As RunDetail(Of RegressionMetrics)" />
|
||||
<MemberSignature Language="F#" Value="static member Best : seq<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RegressionMetrics>> * Microsoft.ML.AutoML.RegressionMetric -> Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RegressionMetrics>" Usage="Microsoft.ML.AutoML.RegressionExperimentResultExtensions.Best (results, metric)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RegressionMetrics></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="results" Type="System.Collections.Generic.IEnumerable<Microsoft.ML.AutoML.RunDetail<Microsoft.ML.Data.RegressionMetrics>>" RefType="this" />
|
||||
<Parameter Name="metric" Type="Microsoft.ML.AutoML.RegressionMetric" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="results">Enumeration of AutoML experiment run results.</param>
|
||||
<param name="metric">Metric to consider when selecting the best run.</param>
|
||||
<summary>
|
||||
Select the best run from an enumeration of experiment runs.
|
||||
</summary>
|
||||
<returns>The best experiment run.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,87 +0,0 @@
|
|||
<Type Name="RegressionExperimentSettings" FullName="Microsoft.ML.AutoML.RegressionExperimentSettings">
|
||||
<TypeSignature Language="C#" Value="public sealed class RegressionExperimentSettings : Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit RegressionExperimentSettings extends Microsoft.ML.AutoML.ExperimentSettings" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RegressionExperimentSettings" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class RegressionExperimentSettings
Inherits ExperimentSettings" />
|
||||
<TypeSignature Language="F#" Value="type RegressionExperimentSettings = class
 inherit ExperimentSettings" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.ExperimentSettings</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Settings for AutoML experiments on regression datasets.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public RegressionExperimentSettings ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RegressionExperimentSettings.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Initializes a new instance of <see cref="T:Microsoft.ML.AutoML.RegressionExperimentSettings" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="OptimizingMetric">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RegressionMetric OptimizingMetric { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype Microsoft.ML.AutoML.RegressionMetric OptimizingMetric" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RegressionExperimentSettings.OptimizingMetric" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property OptimizingMetric As RegressionMetric" />
|
||||
<MemberSignature Language="F#" Value="member this.OptimizingMetric : Microsoft.ML.AutoML.RegressionMetric with get, set" Usage="Microsoft.ML.AutoML.RegressionExperimentSettings.OptimizingMetric" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Metric that AutoML will try to optimize over the course of the experiment.
|
||||
</summary>
|
||||
<value>The default value is <see cref="F:Microsoft.ML.AutoML.RegressionMetric.RSquared" />.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Trainers">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RegressionTrainer> Trainers { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.ICollection`1<valuetype Microsoft.ML.AutoML.RegressionTrainer> Trainers" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RegressionExperimentSettings.Trainers" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Trainers As ICollection(Of RegressionTrainer)" />
|
||||
<MemberSignature Language="F#" Value="member this.Trainers : System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RegressionTrainer>" Usage="Microsoft.ML.AutoML.RegressionExperimentSettings.Trainers" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.ICollection<Microsoft.ML.AutoML.RegressionTrainer></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Collection of trainers the AutoML experiment can leverage.
|
||||
</summary>
|
||||
<value>
|
||||
The default value is a collection auto-populated with all possible trainers (all values of <see cref="T:Microsoft.ML.AutoML.RegressionTrainer" />).
|
||||
</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,106 +0,0 @@
|
|||
<Type Name="RegressionMetric" FullName="Microsoft.ML.AutoML.RegressionMetric">
|
||||
<TypeSignature Language="C#" Value="public enum RegressionMetric" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed RegressionMetric extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RegressionMetric" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum RegressionMetric" />
|
||||
<TypeSignature Language="F#" Value="type RegressionMetric = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Regression metric that AutoML will aim to optimize in its sweeping process during an experiment.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="MeanAbsoluteError">
|
||||
<MemberSignature Language="C#" Value="MeanAbsoluteError" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionMetric MeanAbsoluteError = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionMetric.MeanAbsoluteError" />
|
||||
<MemberSignature Language="VB.NET" Value="MeanAbsoluteError" />
|
||||
<MemberSignature Language="F#" Value="MeanAbsoluteError = 0" Usage="Microsoft.ML.AutoML.RegressionMetric.MeanAbsoluteError" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.RegressionMetrics.MeanAbsoluteError" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="MeanSquaredError">
|
||||
<MemberSignature Language="C#" Value="MeanSquaredError" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionMetric MeanSquaredError = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionMetric.MeanSquaredError" />
|
||||
<MemberSignature Language="VB.NET" Value="MeanSquaredError" />
|
||||
<MemberSignature Language="F#" Value="MeanSquaredError = 1" Usage="Microsoft.ML.AutoML.RegressionMetric.MeanSquaredError" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.RegressionMetrics.MeanSquaredError" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="RootMeanSquaredError">
|
||||
<MemberSignature Language="C#" Value="RootMeanSquaredError" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionMetric RootMeanSquaredError = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionMetric.RootMeanSquaredError" />
|
||||
<MemberSignature Language="VB.NET" Value="RootMeanSquaredError" />
|
||||
<MemberSignature Language="F#" Value="RootMeanSquaredError = 2" Usage="Microsoft.ML.AutoML.RegressionMetric.RootMeanSquaredError" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.RegressionMetrics.RootMeanSquaredError" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="RSquared">
|
||||
<MemberSignature Language="C#" Value="RSquared" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionMetric RSquared = int32(3)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionMetric.RSquared" />
|
||||
<MemberSignature Language="VB.NET" Value="RSquared" />
|
||||
<MemberSignature Language="F#" Value="RSquared = 3" Usage="Microsoft.ML.AutoML.RegressionMetric.RSquared" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionMetric</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>3</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="P:Microsoft.ML.Data.RegressionMetrics.RSquared" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,190 +0,0 @@
|
|||
<Type Name="RegressionTrainer" FullName="Microsoft.ML.AutoML.RegressionTrainer">
|
||||
<TypeSignature Language="C#" Value="public enum RegressionTrainer" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed RegressionTrainer extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RegressionTrainer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum RegressionTrainer" />
|
||||
<TypeSignature Language="F#" Value="type RegressionTrainer = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Enumeration of ML.NET multiclass classification trainers used by AutoML.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="FastForest">
|
||||
<MemberSignature Language="C#" Value="FastForest" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionTrainer FastForest = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionTrainer.FastForest" />
|
||||
<MemberSignature Language="VB.NET" Value="FastForest" />
|
||||
<MemberSignature Language="F#" Value="FastForest = 0" Usage="Microsoft.ML.AutoML.RegressionTrainer.FastForest" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FastTree">
|
||||
<MemberSignature Language="C#" Value="FastTree" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionTrainer FastTree = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionTrainer.FastTree" />
|
||||
<MemberSignature Language="VB.NET" Value="FastTree" />
|
||||
<MemberSignature Language="F#" Value="FastTree = 1" Usage="Microsoft.ML.AutoML.RegressionTrainer.FastTree" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FastTreeTweedie">
|
||||
<MemberSignature Language="C#" Value="FastTreeTweedie" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionTrainer FastTreeTweedie = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionTrainer.FastTreeTweedie" />
|
||||
<MemberSignature Language="VB.NET" Value="FastTreeTweedie" />
|
||||
<MemberSignature Language="F#" Value="FastTreeTweedie = 2" Usage="Microsoft.ML.AutoML.RegressionTrainer.FastTreeTweedie" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LbfgsPoissonRegression">
|
||||
<MemberSignature Language="C#" Value="LbfgsPoissonRegression" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionTrainer LbfgsPoissonRegression = int32(6)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionTrainer.LbfgsPoissonRegression" />
|
||||
<MemberSignature Language="VB.NET" Value="LbfgsPoissonRegression" />
|
||||
<MemberSignature Language="F#" Value="LbfgsPoissonRegression = 6" Usage="Microsoft.ML.AutoML.RegressionTrainer.LbfgsPoissonRegression" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>6</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LightGbm">
|
||||
<MemberSignature Language="C#" Value="LightGbm" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionTrainer LightGbm = int32(3)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionTrainer.LightGbm" />
|
||||
<MemberSignature Language="VB.NET" Value="LightGbm" />
|
||||
<MemberSignature Language="F#" Value="LightGbm = 3" Usage="Microsoft.ML.AutoML.RegressionTrainer.LightGbm" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>3</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Ols">
|
||||
<MemberSignature Language="C#" Value="Ols" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionTrainer Ols = int32(5)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionTrainer.Ols" />
|
||||
<MemberSignature Language="VB.NET" Value="Ols" />
|
||||
<MemberSignature Language="F#" Value="Ols = 5" Usage="Microsoft.ML.AutoML.RegressionTrainer.Ols" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>5</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.OlsTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="OnlineGradientDescent">
|
||||
<MemberSignature Language="C#" Value="OnlineGradientDescent" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionTrainer OnlineGradientDescent = int32(4)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionTrainer.OnlineGradientDescent" />
|
||||
<MemberSignature Language="VB.NET" Value="OnlineGradientDescent" />
|
||||
<MemberSignature Language="F#" Value="OnlineGradientDescent = 4" Usage="Microsoft.ML.AutoML.RegressionTrainer.OnlineGradientDescent" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>4</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="StochasticDualCoordinateAscent">
|
||||
<MemberSignature Language="C#" Value="StochasticDualCoordinateAscent" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.AutoML.RegressionTrainer StochasticDualCoordinateAscent = int32(7)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.AutoML.RegressionTrainer.StochasticDualCoordinateAscent" />
|
||||
<MemberSignature Language="VB.NET" Value="StochasticDualCoordinateAscent" />
|
||||
<MemberSignature Language="F#" Value="StochasticDualCoordinateAscent = 7" Usage="Microsoft.ML.AutoML.RegressionTrainer.StochasticDualCoordinateAscent" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.AutoML.RegressionTrainer</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>7</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
See <see cref="T:Microsoft.ML.Trainers.SdcaRegressionTrainer" />.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,98 +0,0 @@
|
|||
<Type Name="RunDetail" FullName="Microsoft.ML.AutoML.RunDetail">
|
||||
<TypeSignature Language="C#" Value="public abstract class RunDetail" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract beforefieldinit RunDetail extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RunDetail" />
|
||||
<TypeSignature Language="VB.NET" Value="Public MustInherit Class RunDetail" />
|
||||
<TypeSignature Language="F#" Value="type RunDetail = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Details about an AutoML experiment run.
|
||||
</summary>
|
||||
<remarks>
|
||||
In trying to produce the best model, an AutoML experiment evaluates the quality of many models
|
||||
on a dataset. This object contains information about each model tried during the AutoML experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Estimator">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> Estimator { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.ML.IEstimator`1<class Microsoft.ML.ITransformer> Estimator" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RunDetail.Estimator" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Estimator As IEstimator(Of ITransformer)" />
|
||||
<MemberSignature Language="F#" Value="member this.Estimator : Microsoft.ML.IEstimator<Microsoft.ML.ITransformer>" Usage="Microsoft.ML.AutoML.RunDetail.Estimator" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.IEstimator<Microsoft.ML.ITransformer></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
An ML.NET <see cref="T:Microsoft.ML.IEstimator`1" /> that represents the pipeline in this run.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
You can call <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)" /> on
|
||||
this estimator to re-train your pipeline on any <see cref="T:Microsoft.ML.IEstimator`1" />.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="RuntimeInSeconds">
|
||||
<MemberSignature Language="C#" Value="public double RuntimeInSeconds { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance float64 RuntimeInSeconds" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RunDetail.RuntimeInSeconds" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property RuntimeInSeconds As Double" />
|
||||
<MemberSignature Language="F#" Value="member this.RuntimeInSeconds : double" Usage="Microsoft.ML.AutoML.RunDetail.RuntimeInSeconds" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Double</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Runtime in seconds.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
Runtime includes model training time. Depending on the size of the data,
|
||||
the runtime may be quite long.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="TrainerName">
|
||||
<MemberSignature Language="C#" Value="public string TrainerName { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string TrainerName" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RunDetail.TrainerName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property TrainerName As String" />
|
||||
<MemberSignature Language="F#" Value="member this.TrainerName : string" Usage="Microsoft.ML.AutoML.RunDetail.TrainerName" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
String name of the trainer used in this run. (For instance, <c>"LightGbm"</c>.)
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,108 +0,0 @@
|
|||
<Type Name="RunDetail<TMetrics>" FullName="Microsoft.ML.AutoML.RunDetail<TMetrics>">
|
||||
<TypeSignature Language="C#" Value="public sealed class RunDetail<TMetrics> : Microsoft.ML.AutoML.RunDetail" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit RunDetail`1<TMetrics> extends Microsoft.ML.AutoML.RunDetail" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.RunDetail`1" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class RunDetail(Of TMetrics)
Inherits RunDetail" />
|
||||
<TypeSignature Language="F#" Value="type RunDetail<'Metrics> = class
 inherit RunDetail" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="TMetrics" />
|
||||
</TypeParameters>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.AutoML.RunDetail</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<typeparam name="TMetrics">Metrics type for the experiment (like <see cref="T:Microsoft.ML.Data.BinaryClassificationMetrics" />).</typeparam>
|
||||
<summary>
|
||||
Details about an AutoML experiment run.
|
||||
</summary>
|
||||
<remarks>
|
||||
Over the course of an experiment, many models are evaluated on a dataset.
|
||||
This object contains information about each model evaluated during
|
||||
the AutoML experiment.
|
||||
</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Exception">
|
||||
<MemberSignature Language="C#" Value="public Exception Exception { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Exception Exception" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RunDetail`1.Exception" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Exception As Exception" />
|
||||
<MemberSignature Language="F#" Value="member this.Exception : Exception" Usage="Microsoft.ML.AutoML.RunDetail<'Metrics>.Exception" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Exception</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Exception encountered during the run. This property is <see langword="null" /> if
|
||||
no exception was encountered.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
If an exception occurred, it's possible some properties in this object
|
||||
(like <see cref="P:Microsoft.ML.AutoML.RunDetail`1.Model" />) could be <see langword="null" />.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Model">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.ITransformer Model { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.ML.ITransformer Model" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RunDetail`1.Model" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Model As ITransformer" />
|
||||
<MemberSignature Language="F#" Value="member this.Model : Microsoft.ML.ITransformer" Usage="Microsoft.ML.AutoML.RunDetail<'Metrics>.Model" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.ITransformer</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Model trained during the run.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
You can use the trained model to obtain predictions on input data.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ValidationMetrics">
|
||||
<MemberSignature Language="C#" Value="public TMetrics ValidationMetrics { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance !TMetrics ValidationMetrics" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RunDetail`1.ValidationMetrics" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property ValidationMetrics As TMetrics" />
|
||||
<MemberSignature Language="F#" Value="member this.ValidationMetrics : 'Metrics" Usage="Microsoft.ML.AutoML.RunDetail<'Metrics>.ValidationMetrics" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>TMetrics</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Metrics of how the trained model performed on the validation data during
|
||||
the run.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
Internally, each run has train data and validation data. Model trained on the
|
||||
run's training is evaluated against the validation data,
|
||||
and the metrics for that calculation are emitted here.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,101 +0,0 @@
|
|||
<Type Name="TrainResult<TMetrics>" FullName="Microsoft.ML.AutoML.TrainResult<TMetrics>">
|
||||
<TypeSignature Language="C#" Value="public sealed class TrainResult<TMetrics>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TrainResult`1<TMetrics> extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.AutoML.TrainResult`1" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TrainResult(Of TMetrics)" />
|
||||
<TypeSignature Language="F#" Value="type TrainResult<'Metrics> = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<TypeParameters>
|
||||
<TypeParameter Name="TMetrics" />
|
||||
</TypeParameters>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<typeparam name="TMetrics">Metrics type for the run.</typeparam>
|
||||
<summary>
|
||||
Result of a pipeline trained on a cross validation fold.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Exception">
|
||||
<MemberSignature Language="C#" Value="public Exception Exception { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Exception Exception" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.TrainResult`1.Exception" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Exception As Exception" />
|
||||
<MemberSignature Language="F#" Value="member this.Exception : Exception" Usage="Microsoft.ML.AutoML.TrainResult<'Metrics>.Exception" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Exception</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Exception encountered while training the fold. This property is
|
||||
<see langword="null" /> if no exception was encountered.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
If an exception occurred, it's possible some properties in this object
|
||||
(like <see cref="P:Microsoft.ML.AutoML.TrainResult`1.Model" />) could be <see langword="null" />.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Model">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.ITransformer Model { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.ML.ITransformer Model" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.TrainResult`1.Model" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Model As ITransformer" />
|
||||
<MemberSignature Language="F#" Value="member this.Model : Microsoft.ML.ITransformer" Usage="Microsoft.ML.AutoML.TrainResult<'Metrics>.Model" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.ITransformer</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Model trained on the fold during the run.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
You can use the trained model to obtain predictions on input data.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ValidationMetrics">
|
||||
<MemberSignature Language="C#" Value="public TMetrics ValidationMetrics { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance !TMetrics ValidationMetrics" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.TrainResult`1.ValidationMetrics" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property ValidationMetrics As TMetrics" />
|
||||
<MemberSignature Language="F#" Value="member this.ValidationMetrics : 'Metrics" Usage="Microsoft.ML.AutoML.TrainResult<'Metrics>.ValidationMetrics" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>TMetrics</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Each fold has training data and validation data. A model trained on the
|
||||
folds's training data is evaluated against the validation data,
|
||||
and the metrics for that calculation are emitted here.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,41 +0,0 @@
|
|||
<Type Name="IWritable" FullName="Microsoft.ML.CodeGenerator.CodeGenerator.IWritable">
|
||||
<TypeSignature Language="C#" Value="public interface IWritable" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public interface auto ansi abstract IWritable" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.CodeGenerator.CodeGenerator.IWritable" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Interface IWritable" />
|
||||
<TypeSignature Language="F#" Value="type IWritable = interface" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.CodeGenerator</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="WriteToDisk">
|
||||
<MemberSignature Language="C#" Value="public void WriteToDisk (string path);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance void WriteToDisk(string path) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.CodeGenerator.CodeGenerator.IWritable.WriteToDisk(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub WriteToDisk (path As String)" />
|
||||
<MemberSignature Language="F#" Value="abstract member WriteToDisk : string -> unit" Usage="iWritable.WriteToDisk path" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.CodeGenerator</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="path" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="path">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,62 +0,0 @@
|
|||
<Type Name="ICSharpFile" FullName="Microsoft.ML.CodeGenerator.ICSharpFile">
|
||||
<TypeSignature Language="C#" Value="public interface ICSharpFile : Microsoft.ML.CodeGenerator.CodeGenerator.IWritable" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public interface auto ansi abstract ICSharpFile implements class Microsoft.ML.CodeGenerator.CodeGenerator.IWritable" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.CodeGenerator.ICSharpFile" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Interface ICSharpFile
Implements IWritable" />
|
||||
<TypeSignature Language="F#" Value="type ICSharpFile = interface
 interface IWritable" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.CodeGenerator</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Interfaces>
|
||||
<Interface>
|
||||
<InterfaceName>Microsoft.ML.CodeGenerator.CodeGenerator.IWritable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="File">
|
||||
<MemberSignature Language="C#" Value="public string File { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string File" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.CodeGenerator.ICSharpFile.File" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property File As String" />
|
||||
<MemberSignature Language="F#" Value="member this.File : string with get, set" Usage="Microsoft.ML.CodeGenerator.ICSharpFile.File" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.CodeGenerator</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Name">
|
||||
<MemberSignature Language="C#" Value="public string Name { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string Name" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.CodeGenerator.ICSharpFile.Name" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property Name As String" />
|
||||
<MemberSignature Language="F#" Value="member this.Name : string with get, set" Usage="Microsoft.ML.CodeGenerator.ICSharpFile.Name" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.CodeGenerator</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,46 +0,0 @@
|
|||
<Type Name="MLContextExtensions" FullName="Microsoft.ML.Experimental.MLContextExtensions">
|
||||
<TypeSignature Language="C#" Value="public static class MLContextExtensions" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract sealed beforefieldinit MLContextExtensions extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Experimental.MLContextExtensions" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Module MLContextExtensions" />
|
||||
<TypeSignature Language="F#" Value="type MLContextExtensions = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Experimental</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="CancelExecution">
|
||||
<MemberSignature Language="C#" Value="public static void CancelExecution (this Microsoft.ML.MLContext ctx);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig void CancelExecution(class Microsoft.ML.MLContext ctx) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Experimental.MLContextExtensions.CancelExecution(Microsoft.ML.MLContext)" />
|
||||
<MemberSignature Language="VB.NET" Value="<Extension()>
Public Sub CancelExecution (ctx As MLContext)" />
|
||||
<MemberSignature Language="F#" Value="static member CancelExecution : Microsoft.ML.MLContext -> unit" Usage="Microsoft.ML.Experimental.MLContextExtensions.CancelExecution ctx" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Experimental</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="ctx" Type="Microsoft.ML.MLContext" RefType="this" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="ctx">
|
||||
<see cref="T:Microsoft.ML.MLContext" /> reference.</param>
|
||||
<summary>
|
||||
Stop the execution of pipeline in <see cref="T:Microsoft.ML.MLContext" /></summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,47 +0,0 @@
|
|||
<Type Name="OneToOneTransformerBaseExtensions" FullName="Microsoft.ML.Experimental.OneToOneTransformerBaseExtensions">
|
||||
<TypeSignature Language="C#" Value="public static class OneToOneTransformerBaseExtensions" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract sealed beforefieldinit OneToOneTransformerBaseExtensions extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Experimental.OneToOneTransformerBaseExtensions" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Module OneToOneTransformerBaseExtensions" />
|
||||
<TypeSignature Language="F#" Value="type OneToOneTransformerBaseExtensions = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Experimental</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetColumnPairs">
|
||||
<MemberSignature Language="C#" Value="public static System.Collections.Generic.IReadOnlyList<Microsoft.ML.InputOutputColumnPair> GetColumnPairs (this Microsoft.ML.Data.OneToOneTransformerBase transformer);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class System.Collections.Generic.IReadOnlyList`1<class Microsoft.ML.InputOutputColumnPair> GetColumnPairs(class Microsoft.ML.Data.OneToOneTransformerBase transformer) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Experimental.OneToOneTransformerBaseExtensions.GetColumnPairs(Microsoft.ML.Data.OneToOneTransformerBase)" />
|
||||
<MemberSignature Language="VB.NET" Value="<Extension()>
Public Function GetColumnPairs (transformer As OneToOneTransformerBase) As IReadOnlyList(Of InputOutputColumnPair)" />
|
||||
<MemberSignature Language="F#" Value="static member GetColumnPairs : Microsoft.ML.Data.OneToOneTransformerBase -> System.Collections.Generic.IReadOnlyList<Microsoft.ML.InputOutputColumnPair>" Usage="Microsoft.ML.Experimental.OneToOneTransformerBaseExtensions.GetColumnPairs transformer" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Experimental</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IReadOnlyList<Microsoft.ML.InputOutputColumnPair></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="transformer" Type="Microsoft.ML.Data.OneToOneTransformerBase" RefType="this" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="transformer">To be added.</param>
|
||||
<summary>
|
||||
Returns the names of the input-output column pairs on which the transformation is applied.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,102 +0,0 @@
|
|||
<Type Name="DatasetUtils+BinaryLabelFloatFeatureVectorFloatWeightSample" FullName="Microsoft.ML.SamplesUtils.DatasetUtils+BinaryLabelFloatFeatureVectorFloatWeightSample">
|
||||
<TypeSignature Language="C#" Value="public class DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample" />
|
||||
<TypeSignature Language="ILAsm" Value=".class nested public auto ansi beforefieldinit DatasetUtils/BinaryLabelFloatFeatureVectorFloatWeightSample extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample" />
|
||||
<TypeSignature Language="F#" Value="type DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Example with one binary label, 10 feature values and a weight (float).
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public BinaryLabelFloatFeatureVectorFloatWeightSample ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Features">
|
||||
<MemberSignature Language="C#" Value="public float[] Features;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32[] Features" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.Features" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Features As Single() " />
|
||||
<MemberSignature Language="F#" Value="val mutable Features : single[]" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.Features" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Data.VectorType(10)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Data.VectorType(10)>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single[]</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Label">
|
||||
<MemberSignature Language="C#" Value="public bool Label;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public bool Label" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.Label" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Label As Boolean " />
|
||||
<MemberSignature Language="F#" Value="val mutable Label : bool" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.Label" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Boolean</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Weight">
|
||||
<MemberSignature Language="C#" Value="public float Weight;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32 Weight" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.Weight" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Weight As Single " />
|
||||
<MemberSignature Language="F#" Value="val mutable Weight : single" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample.Weight" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,97 +0,0 @@
|
|||
<Type Name="DatasetUtils+CalibratedBinaryClassifierOutput" FullName="Microsoft.ML.SamplesUtils.DatasetUtils+CalibratedBinaryClassifierOutput">
|
||||
<TypeSignature Language="C#" Value="public class DatasetUtils.CalibratedBinaryClassifierOutput" />
|
||||
<TypeSignature Language="ILAsm" Value=".class nested public auto ansi beforefieldinit DatasetUtils/CalibratedBinaryClassifierOutput extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DatasetUtils.CalibratedBinaryClassifierOutput" />
|
||||
<TypeSignature Language="F#" Value="type DatasetUtils.CalibratedBinaryClassifierOutput = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Class used to capture prediction of <see cref="T:Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample" /> when
|
||||
calling <see cref="M:Microsoft.ML.DataOperationsCatalog.CreateEnumerable``1(Microsoft.ML.IDataView,System.Boolean,System.Boolean,Microsoft.ML.Data.SchemaDefinition)" /> via on <see cref="T:Microsoft.ML.MLContext" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public CalibratedBinaryClassifierOutput ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Label">
|
||||
<MemberSignature Language="C#" Value="public bool Label;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public bool Label" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput.Label" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Label As Boolean " />
|
||||
<MemberSignature Language="F#" Value="val mutable Label : bool" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput.Label" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Boolean</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Probability">
|
||||
<MemberSignature Language="C#" Value="public float Probability;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32 Probability" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput.Probability" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Probability As Single " />
|
||||
<MemberSignature Language="F#" Value="val mutable Probability : single" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput.Probability" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Score">
|
||||
<MemberSignature Language="C#" Value="public float Score;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32 Score" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput.Score" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Score As Single " />
|
||||
<MemberSignature Language="F#" Value="val mutable Score : single" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.CalibratedBinaryClassifierOutput.Score" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,81 +0,0 @@
|
|||
<Type Name="DatasetUtils+FloatLabelFloatFeatureVectorSample" FullName="Microsoft.ML.SamplesUtils.DatasetUtils+FloatLabelFloatFeatureVectorSample">
|
||||
<TypeSignature Language="C#" Value="public class DatasetUtils.FloatLabelFloatFeatureVectorSample" />
|
||||
<TypeSignature Language="ILAsm" Value=".class nested public auto ansi beforefieldinit DatasetUtils/FloatLabelFloatFeatureVectorSample extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorSample" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DatasetUtils.FloatLabelFloatFeatureVectorSample" />
|
||||
<TypeSignature Language="F#" Value="type DatasetUtils.FloatLabelFloatFeatureVectorSample = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public FloatLabelFloatFeatureVectorSample ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorSample.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Features">
|
||||
<MemberSignature Language="C#" Value="public float[] Features;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32[] Features" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorSample.Features" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Features As Single() " />
|
||||
<MemberSignature Language="F#" Value="val mutable Features : single[]" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorSample.Features" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Data.VectorType(10)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Data.VectorType(10)>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single[]</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Label">
|
||||
<MemberSignature Language="C#" Value="public float Label;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32 Label" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorSample.Label" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Label As Single " />
|
||||
<MemberSignature Language="F#" Value="val mutable Label : single" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorSample.Label" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,106 +0,0 @@
|
|||
<Type Name="DatasetUtils+FloatLabelFloatFeatureVectorUlongGroupIdSample" FullName="Microsoft.ML.SamplesUtils.DatasetUtils+FloatLabelFloatFeatureVectorUlongGroupIdSample">
|
||||
<TypeSignature Language="C#" Value="public class DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample" />
|
||||
<TypeSignature Language="ILAsm" Value=".class nested public auto ansi beforefieldinit DatasetUtils/FloatLabelFloatFeatureVectorUlongGroupIdSample extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample" />
|
||||
<TypeSignature Language="F#" Value="type DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public FloatLabelFloatFeatureVectorUlongGroupIdSample ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Features">
|
||||
<MemberSignature Language="C#" Value="public float[] Features;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32[] Features" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample.Features" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Features As Single() " />
|
||||
<MemberSignature Language="F#" Value="val mutable Features : single[]" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample.Features" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Data.VectorType(10)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Data.VectorType(10)>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single[]</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GroupId">
|
||||
<MemberSignature Language="C#" Value="public ulong GroupId;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public unsigned int64 GroupId" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample.GroupId" />
|
||||
<MemberSignature Language="VB.NET" Value="Public GroupId As ULong " />
|
||||
<MemberSignature Language="F#" Value="val mutable GroupId : uint64" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample.GroupId" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Data.KeyType(18446744073709551614)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Data.KeyType(18446744073709551614)>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.UInt64</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Label">
|
||||
<MemberSignature Language="C#" Value="public float Label;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32 Label" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample.Label" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Label As Single " />
|
||||
<MemberSignature Language="F#" Value="val mutable Label : single" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample.Label" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,150 +0,0 @@
|
|||
<Type Name="DatasetUtils+MulticlassClassificationExample" FullName="Microsoft.ML.SamplesUtils.DatasetUtils+MulticlassClassificationExample">
|
||||
<TypeSignature Language="C#" Value="public class DatasetUtils.MulticlassClassificationExample" />
|
||||
<TypeSignature Language="ILAsm" Value=".class nested public auto ansi beforefieldinit DatasetUtils/MulticlassClassificationExample extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DatasetUtils.MulticlassClassificationExample" />
|
||||
<TypeSignature Language="F#" Value="type DatasetUtils.MulticlassClassificationExample = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public MulticlassClassificationExample ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Features">
|
||||
<MemberSignature Language="C#" Value="public float[] Features;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32[] Features" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.Features" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Features As Single() " />
|
||||
<MemberSignature Language="F#" Value="val mutable Features : single[]" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.Features" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Data.VectorType(10)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Data.VectorType(10)>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single[]</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Label">
|
||||
<MemberSignature Language="C#" Value="public string Label;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public string Label" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.Label" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Label As String " />
|
||||
<MemberSignature Language="F#" Value="val mutable Label : string" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.Label" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Data.ColumnName("Label")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Data.ColumnName("Label")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LabelIndex">
|
||||
<MemberSignature Language="C#" Value="public uint LabelIndex;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public unsigned int32 LabelIndex" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.LabelIndex" />
|
||||
<MemberSignature Language="VB.NET" Value="Public LabelIndex As UInteger " />
|
||||
<MemberSignature Language="F#" Value="val mutable LabelIndex : uint32" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.LabelIndex" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.UInt32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="PredictedLabelIndex">
|
||||
<MemberSignature Language="C#" Value="public uint PredictedLabelIndex;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public unsigned int32 PredictedLabelIndex" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.PredictedLabelIndex" />
|
||||
<MemberSignature Language="VB.NET" Value="Public PredictedLabelIndex As UInteger " />
|
||||
<MemberSignature Language="F#" Value="val mutable PredictedLabelIndex : uint32" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.PredictedLabelIndex" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.UInt32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Scores">
|
||||
<MemberSignature Language="C#" Value="public float[] Scores;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32[] Scores" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.Scores" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Scores As Single() " />
|
||||
<MemberSignature Language="F#" Value="val mutable Scores : single[]" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample.Scores" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Data.VectorType(4)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Data.VectorType(4)>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single[]</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,78 +0,0 @@
|
|||
<Type Name="DatasetUtils+NonCalibratedBinaryClassifierOutput" FullName="Microsoft.ML.SamplesUtils.DatasetUtils+NonCalibratedBinaryClassifierOutput">
|
||||
<TypeSignature Language="C#" Value="public class DatasetUtils.NonCalibratedBinaryClassifierOutput" />
|
||||
<TypeSignature Language="ILAsm" Value=".class nested public auto ansi beforefieldinit DatasetUtils/NonCalibratedBinaryClassifierOutput extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.SamplesUtils.DatasetUtils.NonCalibratedBinaryClassifierOutput" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DatasetUtils.NonCalibratedBinaryClassifierOutput" />
|
||||
<TypeSignature Language="F#" Value="type DatasetUtils.NonCalibratedBinaryClassifierOutput = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Class used to capture prediction of <see cref="T:Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample" /> when
|
||||
calling <see cref="M:Microsoft.ML.DataOperationsCatalog.CreateEnumerable``1(Microsoft.ML.IDataView,System.Boolean,System.Boolean,Microsoft.ML.Data.SchemaDefinition)" /> via on <see cref="T:Microsoft.ML.MLContext" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public NonCalibratedBinaryClassifierOutput ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.NonCalibratedBinaryClassifierOutput.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Label">
|
||||
<MemberSignature Language="C#" Value="public bool Label;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public bool Label" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.NonCalibratedBinaryClassifierOutput.Label" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Label As Boolean " />
|
||||
<MemberSignature Language="F#" Value="val mutable Label : bool" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.NonCalibratedBinaryClassifierOutput.Label" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Boolean</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Score">
|
||||
<MemberSignature Language="C#" Value="public float Score;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float32 Score" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.SamplesUtils.DatasetUtils.NonCalibratedBinaryClassifierOutput.Score" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Score As Single " />
|
||||
<MemberSignature Language="F#" Value="val mutable Score : single" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.NonCalibratedBinaryClassifierOutput.Score" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Single</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,353 +0,0 @@
|
|||
<Type Name="DatasetUtils" FullName="Microsoft.ML.SamplesUtils.DatasetUtils">
|
||||
<TypeSignature Language="C#" Value="public static class DatasetUtils" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract sealed beforefieldinit DatasetUtils extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.SamplesUtils.DatasetUtils" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Class DatasetUtils" />
|
||||
<TypeSignature Language="F#" Value="type DatasetUtils = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="DownloadTensorFlowSentimentModel">
|
||||
<MemberSignature Language="C#" Value="public static string DownloadTensorFlowSentimentModel ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig string DownloadTensorFlowSentimentModel() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.DownloadTensorFlowSentimentModel" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function DownloadTensorFlowSentimentModel () As String" />
|
||||
<MemberSignature Language="F#" Value="static member DownloadTensorFlowSentimentModel : unit -> string" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.DownloadTensorFlowSentimentModel " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Downloads sentiment_model from the dotnet/machinelearning-testdata repo.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>
|
||||
The model is downloaded from
|
||||
https://github.com/dotnet/machinelearning-testdata/blob/296625f4e49d50fcd6a48a0d92bea7584e198c0f/Microsoft.ML.TensorFlow.TestModels/sentiment_model
|
||||
The model is in 'SavedModel' format. For further explanation on how was the `sentiment_model` created
|
||||
c.f. https://github.com/dotnet/machinelearning-testdata/blob/296625f4e49d50fcd6a48a0d92bea7584e198c0f/Microsoft.ML.TensorFlow.TestModels/sentiment_model/README.md
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples">
|
||||
<MemberSignature Language="C#" Value="public static System.Collections.Generic.IEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample> GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples (int exampleCount);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.SamplesUtils.DatasetUtils/BinaryLabelFloatFeatureVectorFloatWeightSample> GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(int32 exampleCount) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples(System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples (exampleCount As Integer) As IEnumerable(Of DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample)" />
|
||||
<MemberSignature Language="F#" Value="static member GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples : int -> seq<Microsoft.ML.SamplesUtils.DatasetUtils.BinaryLabelFloatFeatureVectorFloatWeightSample>" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GenerateBinaryLabelFloatFeatureVectorFloatWeightSamples exampleCount" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils+BinaryLabelFloatFeatureVectorFloatWeightSample></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="exampleCount" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="exampleCount">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GenerateFloatLabelFloatFeatureVectorSamples">
|
||||
<MemberSignature Language="C#" Value="public static System.Collections.Generic.IEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorSample> GenerateFloatLabelFloatFeatureVectorSamples (int exampleCount, double naRate = 0);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.SamplesUtils.DatasetUtils/FloatLabelFloatFeatureVectorSample> GenerateFloatLabelFloatFeatureVectorSamples(int32 exampleCount, float64 naRate) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples(System.Int32,System.Double)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GenerateFloatLabelFloatFeatureVectorSamples (exampleCount As Integer, Optional naRate As Double = 0) As IEnumerable(Of DatasetUtils.FloatLabelFloatFeatureVectorSample)" />
|
||||
<MemberSignature Language="F#" Value="static member GenerateFloatLabelFloatFeatureVectorSamples : int * double -> seq<Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorSample>" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorSamples (exampleCount, naRate)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils+FloatLabelFloatFeatureVectorSample></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="exampleCount" Type="System.Int32" />
|
||||
<Parameter Name="naRate" Type="System.Double" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="exampleCount">To be added.</param>
|
||||
<param name="naRate">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GenerateFloatLabelFloatFeatureVectorUlongGroupIdSamples">
|
||||
<MemberSignature Language="C#" Value="public static System.Collections.Generic.IEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample> GenerateFloatLabelFloatFeatureVectorUlongGroupIdSamples (int exampleCount, double naRate = 0, ulong minGroupId = 1, ulong maxGroupId = 5);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.SamplesUtils.DatasetUtils/FloatLabelFloatFeatureVectorUlongGroupIdSample> GenerateFloatLabelFloatFeatureVectorUlongGroupIdSamples(int32 exampleCount, float64 naRate, unsigned int64 minGroupId, unsigned int64 maxGroupId) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorUlongGroupIdSamples(System.Int32,System.Double,System.UInt64,System.UInt64)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GenerateFloatLabelFloatFeatureVectorUlongGroupIdSamples (exampleCount As Integer, Optional naRate As Double = 0, Optional minGroupId As ULong = 1, Optional maxGroupId As ULong = 5) As IEnumerable(Of DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample)" />
|
||||
<MemberSignature Language="F#" Value="static member GenerateFloatLabelFloatFeatureVectorUlongGroupIdSamples : int * double * uint64 * uint64 -> seq<Microsoft.ML.SamplesUtils.DatasetUtils.FloatLabelFloatFeatureVectorUlongGroupIdSample>" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GenerateFloatLabelFloatFeatureVectorUlongGroupIdSamples (exampleCount, naRate, minGroupId, maxGroupId)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IEnumerable<Microsoft.ML.SamplesUtils.DatasetUtils+FloatLabelFloatFeatureVectorUlongGroupIdSample></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="exampleCount" Type="System.Int32" />
|
||||
<Parameter Name="naRate" Type="System.Double" />
|
||||
<Parameter Name="minGroupId" Type="System.UInt64" />
|
||||
<Parameter Name="maxGroupId" Type="System.UInt64" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="exampleCount">To be added.</param>
|
||||
<param name="naRate">To be added.</param>
|
||||
<param name="minGroupId">To be added.</param>
|
||||
<param name="maxGroupId">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GenerateRandomMulticlassClassificationExamples">
|
||||
<MemberSignature Language="C#" Value="public static System.Collections.Generic.List<Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample> GenerateRandomMulticlassClassificationExamples (int count);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class System.Collections.Generic.List`1<class Microsoft.ML.SamplesUtils.DatasetUtils/MulticlassClassificationExample> GenerateRandomMulticlassClassificationExamples(int32 count) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GenerateRandomMulticlassClassificationExamples(System.Int32)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GenerateRandomMulticlassClassificationExamples (count As Integer) As List(Of DatasetUtils.MulticlassClassificationExample)" />
|
||||
<MemberSignature Language="F#" Value="static member GenerateRandomMulticlassClassificationExamples : int -> System.Collections.Generic.List<Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample>" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GenerateRandomMulticlassClassificationExamples count" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.List<Microsoft.ML.SamplesUtils.DatasetUtils+MulticlassClassificationExample></ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="count" Type="System.Int32" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="count">Number of generated examples.</param>
|
||||
<summary>
|
||||
Helper function used to generate random <see cref="T:Microsoft.ML.SamplesUtils.DatasetUtils.MulticlassClassificationExample" /> objects.
|
||||
</summary>
|
||||
<returns>A list of random examples.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetAdultDataset">
|
||||
<MemberSignature Language="C#" Value="public static string GetAdultDataset ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig string GetAdultDataset() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GetAdultDataset" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GetAdultDataset () As String" />
|
||||
<MemberSignature Language="F#" Value="static member GetAdultDataset : unit -> string" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GetAdultDataset " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns the path to the adult dataset from the ML.NET repo.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetBreastCancerDataset">
|
||||
<MemberSignature Language="C#" Value="public static string GetBreastCancerDataset ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig string GetBreastCancerDataset() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GetBreastCancerDataset" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GetBreastCancerDataset () As String" />
|
||||
<MemberSignature Language="F#" Value="static member GetBreastCancerDataset : unit -> string" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GetBreastCancerDataset " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns the path to the breast cancer dataset from the ML.NET repo.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetFilePathFromDataDirectory">
|
||||
<MemberSignature Language="C#" Value="public static string GetFilePathFromDataDirectory (string fileName);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig string GetFilePathFromDataDirectory(string fileName) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GetFilePathFromDataDirectory(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GetFilePathFromDataDirectory (fileName As String) As String" />
|
||||
<MemberSignature Language="F#" Value="static member GetFilePathFromDataDirectory : string -> string" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GetFilePathFromDataDirectory fileName" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="fileName" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="fileName">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetHousingRegressionDataset">
|
||||
<MemberSignature Language="C#" Value="public static string GetHousingRegressionDataset ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig string GetHousingRegressionDataset() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GetHousingRegressionDataset" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GetHousingRegressionDataset () As String" />
|
||||
<MemberSignature Language="F#" Value="static member GetHousingRegressionDataset : unit -> string" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GetHousingRegressionDataset " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns the path to the housing dataset from the ML.NET repo.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetSampleImages">
|
||||
<MemberSignature Language="C#" Value="public static string GetSampleImages ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig string GetSampleImages() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.GetSampleImages" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function GetSampleImages () As String" />
|
||||
<MemberSignature Language="F#" Value="static member GetSampleImages : unit -> string" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.GetSampleImages " />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Returns the path to 4 sample images, and a tsv file with their names from the dotnet/machinelearning repo.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LoadFeaturizedAdultDataset">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.IDataView LoadFeaturizedAdultDataset (Microsoft.ML.MLContext mlContext);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.IDataView LoadFeaturizedAdultDataset(class Microsoft.ML.MLContext mlContext) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.LoadFeaturizedAdultDataset(Microsoft.ML.MLContext)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function LoadFeaturizedAdultDataset (mlContext As MLContext) As IDataView" />
|
||||
<MemberSignature Language="F#" Value="static member LoadFeaturizedAdultDataset : Microsoft.ML.MLContext -> Microsoft.ML.IDataView" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.LoadFeaturizedAdultDataset mlContext" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.IDataView</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="mlContext" Type="Microsoft.ML.MLContext" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="mlContext">
|
||||
<see cref="T:Microsoft.ML.MLContext" /> used for data loading and processing.</param>
|
||||
<summary>
|
||||
Returns the path to the Adult UCI dataset and featurizes it to be suitable for classification tasks.
|
||||
</summary>
|
||||
<returns>Featurized dataset.</returns>
|
||||
<remarks>
|
||||
For more details about this dataset, please see https://archive.ics.uci.edu/ml/datasets/adult.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LoadHousingRegressionDataset">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.IDataView LoadHousingRegressionDataset (Microsoft.ML.MLContext mlContext);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.IDataView LoadHousingRegressionDataset(class Microsoft.ML.MLContext mlContext) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.LoadHousingRegressionDataset(Microsoft.ML.MLContext)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function LoadHousingRegressionDataset (mlContext As MLContext) As IDataView" />
|
||||
<MemberSignature Language="F#" Value="static member LoadHousingRegressionDataset : Microsoft.ML.MLContext -> Microsoft.ML.IDataView" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.LoadHousingRegressionDataset mlContext" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.IDataView</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="mlContext" Type="Microsoft.ML.MLContext" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="mlContext">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LoadRawAdultDataset">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.IDataView LoadRawAdultDataset (Microsoft.ML.MLContext mlContext);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.IDataView LoadRawAdultDataset(class Microsoft.ML.MLContext mlContext) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.SamplesUtils.DatasetUtils.LoadRawAdultDataset(Microsoft.ML.MLContext)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function LoadRawAdultDataset (mlContext As MLContext) As IDataView" />
|
||||
<MemberSignature Language="F#" Value="static member LoadRawAdultDataset : Microsoft.ML.MLContext -> Microsoft.ML.IDataView" Usage="Microsoft.ML.SamplesUtils.DatasetUtils.LoadRawAdultDataset mlContext" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.SamplesUtils</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.IDataView</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="mlContext" Type="Microsoft.ML.MLContext" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="mlContext">
|
||||
<see cref="T:Microsoft.ML.MLContext" /> used for data loading and processing.</param>
|
||||
<summary>
|
||||
Returns the path to the Adult UCI dataset and featurizes it to be suitable for classification tasks.
|
||||
</summary>
|
||||
<returns>Raw dataset.</returns>
|
||||
<remarks>
|
||||
For more details about this dataset, please see https://archive.ics.uci.edu/ml/datasets/adult.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RankingCatalog.RankingTrainers,System.String,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -48,9 +48,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTreeTweedie(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTreeTweedie(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.GamBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamBinaryTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamRegressionTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.GamRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamRegressionTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -41,9 +41,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -41,9 +41,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.RankingCatalog.RankingTrainers,System.String,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.RankingCatalog.RankingTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -41,9 +41,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -1,167 +0,0 @@
|
|||
<Type Name="MatrixFactorizationModelParameters" FullName="Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters">
|
||||
<TypeSignature Language="C#" Value="public sealed class MatrixFactorizationModelParameters : Microsoft.ML.ICanSaveModel" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit MatrixFactorizationModelParameters extends System.Object implements class Microsoft.ML.ICanSaveModel" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class MatrixFactorizationModelParameters
Implements ICanSaveModel" />
|
||||
<TypeSignature Language="F#" Value="type MatrixFactorizationModelParameters = class
 interface ICanSaveModel" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface>
|
||||
<InterfaceName>Microsoft.ML.ICanSaveModel</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
<Docs>
|
||||
<summary>
|
||||
Model parameters for <see cref="T:Microsoft.ML.Trainers.MatrixFactorizationTrainer" />.
|
||||
</summary>
|
||||
<remarks>
|
||||
<see cref="T:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters" /> stores two factor matrices, P and Q, for approximating the training matrix, R, by P * Q,
|
||||
where * is a matrix multiplication. This model expects two inputs, row index and column index, and produces the (approximated)
|
||||
value at the location specified by the two inputs in R. More specifically, if input row and column indices are u and v, respectively.
|
||||
The output (a scalar) would be the inner product of the u-th row in P and the v-th column in Q.
|
||||
</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="ApproximationRank">
|
||||
<MemberSignature Language="C#" Value="public readonly int ApproximationRank;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public initonly int32 ApproximationRank" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.ApproximationRank" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly ApproximationRank As Integer " />
|
||||
<MemberSignature Language="F#" Value="val mutable ApproximationRank : int" Usage="Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.ApproximationRank" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary> The rank of the factor matrices.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LeftFactorMatrix">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IReadOnlyList<float> LeftFactorMatrix { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.IReadOnlyList`1<float32> LeftFactorMatrix" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.LeftFactorMatrix" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property LeftFactorMatrix As IReadOnlyList(Of Single)" />
|
||||
<MemberSignature Language="F#" Value="member this.LeftFactorMatrix : System.Collections.Generic.IReadOnlyList<single>" Usage="Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.LeftFactorMatrix" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IReadOnlyList<System.Single></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Left approximation matrix
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
This is two dimensional matrix with size of <see cref="F:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.NumberOfRows" /> * <see cref="F:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.ApproximationRank" /> flattened into one-dimensional matrix.
|
||||
Row by row.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Microsoft.ML.ICanSaveModel.Save">
|
||||
<MemberSignature Language="C#" Value="void ICanSaveModel.Save (Microsoft.ML.ModelSaveContext ctx);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method hidebysig newslot virtual instance void Microsoft.ML.ICanSaveModel.Save(class Microsoft.ML.ModelSaveContext ctx) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.Microsoft#ML#ICanSaveModel#Save(Microsoft.ML.ModelSaveContext)" />
|
||||
<MemberSignature Language="VB.NET" Value="Sub Save (ctx As ModelSaveContext) Implements ICanSaveModel.Save" />
|
||||
<MemberSignature Language="F#" Value="abstract member Microsoft.ML.ICanSaveModel.Save : Microsoft.ML.ModelSaveContext -> unit
override this.Microsoft.ML.ICanSaveModel.Save : Microsoft.ML.ModelSaveContext -> unit" Usage="matrixFactorizationModelParameters.Microsoft.ML.ICanSaveModel.Save ctx" />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:Microsoft.ML.ICanSaveModel.Save(Microsoft.ML.ModelSaveContext)</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="ctx" Type="Microsoft.ML.ModelSaveContext" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="ctx">To be added.</param>
|
||||
<summary>
|
||||
Save model to the given context
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NumberOfColumns">
|
||||
<MemberSignature Language="C#" Value="public readonly int NumberOfColumns;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public initonly int32 NumberOfColumns" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.NumberOfColumns" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly NumberOfColumns As Integer " />
|
||||
<MemberSignature Language="F#" Value="val mutable NumberOfColumns : int" Usage="Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.NumberOfColumns" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary> The number of columns.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NumberOfRows">
|
||||
<MemberSignature Language="C#" Value="public readonly int NumberOfRows;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public initonly int32 NumberOfRows" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.NumberOfRows" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly NumberOfRows As Integer " />
|
||||
<MemberSignature Language="F#" Value="val mutable NumberOfRows : int" Usage="Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.NumberOfRows" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary> The number of rows.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="RightFactorMatrix">
|
||||
<MemberSignature Language="C#" Value="public System.Collections.Generic.IReadOnlyList<float> RightFactorMatrix { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.IReadOnlyList`1<float32> RightFactorMatrix" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.RightFactorMatrix" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property RightFactorMatrix As IReadOnlyList(Of Single)" />
|
||||
<MemberSignature Language="F#" Value="member this.RightFactorMatrix : System.Collections.Generic.IReadOnlyList<single>" Usage="Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.RightFactorMatrix" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Collections.Generic.IReadOnlyList<System.Single></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Right approximation matrix
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>
|
||||
This is two dimensional matrix with size of <see cref="F:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.ApproximationRank" /> * <see cref="F:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters.NumberOfColumns" /> flattened into one-dimensional matrix.
|
||||
Row by row.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,53 +0,0 @@
|
|||
<Type Name="MatrixFactorizationPredictionTransformer" FullName="Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer">
|
||||
<TypeSignature Language="C#" Value="public sealed class MatrixFactorizationPredictionTransformer : Microsoft.ML.Data.PredictionTransformerBase<Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit MatrixFactorizationPredictionTransformer extends Microsoft.ML.Data.PredictionTransformerBase`1<class Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class MatrixFactorizationPredictionTransformer
Inherits PredictionTransformerBase(Of MatrixFactorizationModelParameters)" />
|
||||
<TypeSignature Language="F#" Value="type MatrixFactorizationPredictionTransformer = class
 inherit PredictionTransformerBase<MatrixFactorizationModelParameters>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>Microsoft.ML.Data.PredictionTransformerBase<Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters></BaseTypeName>
|
||||
<BaseTypeArguments>
|
||||
<BaseTypeArgument TypeParamName="!0">Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters</BaseTypeArgument>
|
||||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Trains a <see cref="T:Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters" />. It factorizes the training matrix into the product of two low-rank matrices.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
<MemberSignature Language="C#" Value="public override Microsoft.ML.DataViewSchema GetOutputSchema (Microsoft.ML.DataViewSchema inputSchema);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig virtual instance class Microsoft.ML.DataViewSchema GetOutputSchema(class Microsoft.ML.DataViewSchema inputSchema) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer.GetOutputSchema(Microsoft.ML.DataViewSchema)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Overrides Function GetOutputSchema (inputSchema As DataViewSchema) As DataViewSchema" />
|
||||
<MemberSignature Language="F#" Value="override this.GetOutputSchema : Microsoft.ML.DataViewSchema -> Microsoft.ML.DataViewSchema" Usage="matrixFactorizationPredictionTransformer.GetOutputSchema inputSchema" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.DataViewSchema</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="inputSchema" Type="Microsoft.ML.DataViewSchema" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="inputSchema">To be added.</param>
|
||||
<summary>
|
||||
Schema propagation for transformers.
|
||||
Returns the output schema of the data, if the input schema is like the one provided.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -58,9 +58,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Single,System.Boolean,System.Single,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -72,10 +72,10 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String[],System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -66,9 +66,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -61,9 +61,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -45,9 +45,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -51,8 +51,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LdSvmTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LdSvmTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Info">
|
||||
|
|
|
|||
|
|
@ -50,8 +50,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -1,70 +0,0 @@
|
|||
<Type Name="MatrixFactorizationTrainer+LossFunctionType" FullName="Microsoft.ML.Trainers.MatrixFactorizationTrainer+LossFunctionType">
|
||||
<TypeSignature Language="C#" Value="public enum MatrixFactorizationTrainer.LossFunctionType" />
|
||||
<TypeSignature Language="ILAsm" Value=".class nested public auto ansi sealed MatrixFactorizationTrainer/LossFunctionType extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum MatrixFactorizationTrainer.LossFunctionType" />
|
||||
<TypeSignature Language="F#" Value="type MatrixFactorizationTrainer.LossFunctionType = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Type of loss function.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="SquareLossOneClass">
|
||||
<MemberSignature Language="C#" Value="SquareLossOneClass" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.Trainers.MatrixFactorizationTrainer/LossFunctionType SquareLossOneClass = int32(12)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossOneClass" />
|
||||
<MemberSignature Language="VB.NET" Value="SquareLossOneClass" />
|
||||
<MemberSignature Language="F#" Value="SquareLossOneClass = 12" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossOneClass" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Trainers.MatrixFactorizationTrainer+LossFunctionType</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>12</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Used in implicit-feedback recommendation problem.
|
||||
</summary>
|
||||
<remarks>
|
||||
See <a href="http://yifanhu.net/PUB/cf.pdf">Equation</a> (3).
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="SquareLossRegression">
|
||||
<MemberSignature Language="C#" Value="SquareLossRegression" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.Trainers.MatrixFactorizationTrainer/LossFunctionType SquareLossRegression = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossRegression" />
|
||||
<MemberSignature Language="VB.NET" Value="SquareLossRegression" />
|
||||
<MemberSignature Language="F#" Value="SquareLossRegression = 0" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossRegression" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Trainers.MatrixFactorizationTrainer+LossFunctionType</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Used in traditional collaborative filtering problem with squared loss.
|
||||
</summary>
|
||||
<remarks>
|
||||
See <a href="https://www.csie.ntu.edu.tw/~cjlin/papers/libmf/mf_adaptive_pakdd.pdf">Equation</a> (1).
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,454 +0,0 @@
|
|||
<Type Name="MatrixFactorizationTrainer+Options" FullName="Microsoft.ML.Trainers.MatrixFactorizationTrainer+Options">
|
||||
<TypeSignature Language="C#" Value="public sealed class MatrixFactorizationTrainer.Options" />
|
||||
<TypeSignature Language="ILAsm" Value=".class nested public auto ansi sealed beforefieldinit MatrixFactorizationTrainer/Options extends System.Object" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class MatrixFactorizationTrainer.Options" />
|
||||
<TypeSignature Language="F#" Value="type MatrixFactorizationTrainer.Options = class" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
Options for the <see cref="T:Microsoft.ML.Trainers.MatrixFactorizationTrainer" /> as used in [MatrixFactorization(Options)](xref:Microsoft.ML.RecommendationCatalog.RecommendationTrainers.MatrixFactorization(Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options)).
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName=".ctor">
|
||||
<MemberSignature Language="C#" Value="public Options ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig specialname rtspecialname instance void .ctor() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.#ctor" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub New ()" />
|
||||
<MemberType>Constructor</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>To be added.</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Alpha">
|
||||
<MemberSignature Language="C#" Value="public double Alpha;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float64 Alpha" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.Alpha" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Alpha As Double " />
|
||||
<MemberSignature Language="F#" Value="val mutable Alpha : double" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.Alpha" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Importance of unobserved entries' loss in one-class matrix factorization.")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Importance of unobserved entries' loss in one-class matrix factorization.")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Alpha", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Alpha", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,0.01,0.0001,0.000001")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="1,0.01,0.0001,0.000001")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Double</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Importance of unobserved entries' loss in one-class matrix factorization. Applicable if <see cref="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LossFunction" /> set to <see cref="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossOneClass" /></summary>
|
||||
<remarks>
|
||||
Importance of unobserved (i.e., negative) entries' loss in one-class matrix factorization.
|
||||
In general, only a few of matrix entries (e.g., less than 1%) in the training are observed (i.e., positive).
|
||||
To balance the contributions from unobserved and observed in the overall loss function, this parameter is
|
||||
usually a small value so that the solver is able to find a factorization equally good to unobserved and observed
|
||||
entries. If only 10000 observed entries present in a 200000-by-300000 training matrix, one can try Alpha = 10000 / (200000*300000 - 10000).
|
||||
When most entries in the training matrix are observed, one can use Alpha >> 1; for example, if only 10000 in previous
|
||||
matrix is not observed, one can try Alpha = (200000 * 300000 - 10000) / 10000. Consequently,
|
||||
Alpha = (# of observed entries) / (# of unobserved entries) can make observed and unobserved entries equally important
|
||||
in the minimized loss function. However, the best setting in machine learning is always data-dependent so user still needs to
|
||||
try multiple values.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="ApproximationRank">
|
||||
<MemberSignature Language="C#" Value="public int ApproximationRank;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public int32 ApproximationRank" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.ApproximationRank" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ApproximationRank As Integer " />
|
||||
<MemberSignature Language="F#" Value="val mutable ApproximationRank : int" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.ApproximationRank" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Latent space dimension (denoted by k). If the factorized matrix is m-by-n, two factor matrices found by matrix factorization are m-by-k and k-by-n, respectively. This value is also known as the rank of matrix factorization because k is generally much smaller than m and n.", ShortName="K")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Latent space dimension (denoted by k). If the factorized matrix is m-by-n, two factor matrices found by matrix factorization are m-by-k and k-by-n, respectively. This value is also known as the rank of matrix factorization because k is generally much smaller than m and n.", ShortName="K")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("K", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("K", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="8,16,64,128")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="8,16,64,128")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Rank of approximation matrices.
|
||||
</summary>
|
||||
<remarks>
|
||||
If input data has size of m-by-n we would build two approximation matrices m-by-k and k-by-n where k is approximation rank.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="C">
|
||||
<MemberSignature Language="C#" Value="public double C;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float64 C" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.C" />
|
||||
<MemberSignature Language="VB.NET" Value="Public C As Double " />
|
||||
<MemberSignature Language="F#" Value="val mutable C : double" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.C" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Desired negative entries' value in one-class matrix factorization")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Desired negative entries' value in one-class matrix factorization")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("C", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("C", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.000001,0,0001,0.01")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.000001,0,0001,0.01")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Double</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Desired negative entries value in one-class matrix factorization. Applicable if <see cref="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LossFunction" /> set to <see cref="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossOneClass" /></summary>
|
||||
<remarks>
|
||||
In one-class matrix factorization, all matrix values observed are one (which can be viewed as positive cases in binary classification)
|
||||
while unobserved values (which can be viewed as negative cases in binary classification) need to be specified manually using this option.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LabelColumnName">
|
||||
<MemberSignature Language="C#" Value="public string LabelColumnName;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public string LabelColumnName" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LabelColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public LabelColumnName As String " />
|
||||
<MemberSignature Language="F#" Value="val mutable LabelColumnName : string" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LabelColumnName" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The name variable (i.e., column in a <see cref="T:Microsoft.ML.IDataView" /> type system) used as matrix's element value.
|
||||
The column data must be <see cref="T:Microsoft.ML.Data.KeyDataViewType" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Lambda">
|
||||
<MemberSignature Language="C#" Value="public double Lambda;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float64 Lambda" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.Lambda" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Lambda As Double " />
|
||||
<MemberSignature Language="F#" Value="val mutable Lambda : double" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.Lambda" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularization parameter. It's the weight of factor matrices Frobenius norms in the objective function minimized by matrix factorization's algorithm. A small value could cause over-fitting.")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Regularization parameter. It's the weight of factor matrices Frobenius norms in the objective function minimized by matrix factorization's algorithm. A small value could cause over-fitting.")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Lambda", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Lambda", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.01,0.05,0.1,0.5,1")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.01,0.05,0.1,0.5,1")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Double</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Regularization parameter.
|
||||
</summary>
|
||||
<remarks>
|
||||
It's the weight of factor matrices Frobenius norms in the objective function minimized by matrix factorization's algorithm. A small value could cause over-fitting.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LearningRate">
|
||||
<MemberSignature Language="C#" Value="public double LearningRate;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public float64 LearningRate" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LearningRate" />
|
||||
<MemberSignature Language="VB.NET" Value="Public LearningRate As Double " />
|
||||
<MemberSignature Language="F#" Value="val mutable LearningRate : double" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LearningRate" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Initial learning rate. It specifies the speed of the training algorithm. Small value may increase the number of iterations needed to achieve a reasonable result. Large value may lead to numerical difficulty such as a infinity value.", ShortName="Eta")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Initial learning rate. It specifies the speed of the training algorithm. Small value may increase the number of iterations needed to achieve a reasonable result. Large value may lead to numerical difficulty such as a infinity value.", ShortName="Eta")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Eta", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("Eta", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.001,0.01,0.1")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0.001,0.01,0.1")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Double</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Initial learning rate. It specifies the speed of the training algorithm.
|
||||
</summary>
|
||||
<remarks>
|
||||
Small value may increase the number of iterations needed to achieve a reasonable result.
|
||||
Large value may lead to numerical difficulty such as a infinity value.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LossFunction">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType LossFunction;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public valuetype Microsoft.ML.Trainers.MatrixFactorizationTrainer/LossFunctionType LossFunction" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LossFunction" />
|
||||
<MemberSignature Language="VB.NET" Value="Public LossFunction As MatrixFactorizationTrainer.LossFunctionType " />
|
||||
<MemberSignature Language="F#" Value="val mutable LossFunction : Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LossFunction" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Loss function minimized for finding factor matrices.")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Loss function minimized for finding factor matrices.")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LossFunction", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("LossFunction", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0,12")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="0,12")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Trainers.MatrixFactorizationTrainer+LossFunctionType</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Loss function minimized for finding factor matrices.
|
||||
</summary>
|
||||
<remarks>
|
||||
Two values are allowed, <see cref="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossRegression" /> or <see cref="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossOneClass" />.
|
||||
The <see cref="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossRegression" /> means traditional collaborative filtering problem with squared loss.
|
||||
The <see cref="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossOneClass" /> triggers one-class matrix factorization for implicit-feedback recommendation problem.
|
||||
</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="MatrixColumnIndexColumnName">
|
||||
<MemberSignature Language="C#" Value="public string MatrixColumnIndexColumnName;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public string MatrixColumnIndexColumnName" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.MatrixColumnIndexColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MatrixColumnIndexColumnName As String " />
|
||||
<MemberSignature Language="F#" Value="val mutable MatrixColumnIndexColumnName : string" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.MatrixColumnIndexColumnName" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The name of variable (i.e., Column in a <see cref="T:Microsoft.ML.IDataView" /> type system) used as matrix's column index.
|
||||
The column data must be <see cref="T:System.Single" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="MatrixRowIndexColumnName">
|
||||
<MemberSignature Language="C#" Value="public string MatrixRowIndexColumnName;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public string MatrixRowIndexColumnName" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.MatrixRowIndexColumnName" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MatrixRowIndexColumnName As String " />
|
||||
<MemberSignature Language="F#" Value="val mutable MatrixRowIndexColumnName : string" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.MatrixRowIndexColumnName" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The name of variable (i.e., column in a <see cref="T:Microsoft.ML.IDataView" /> type system) used as matrix's row index.
|
||||
The column data must be <see cref="T:Microsoft.ML.Data.KeyDataViewType" />.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NonNegative">
|
||||
<MemberSignature Language="C#" Value="public bool NonNegative;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public bool NonNegative" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.NonNegative" />
|
||||
<MemberSignature Language="VB.NET" Value="Public NonNegative As Boolean " />
|
||||
<MemberSignature Language="F#" Value="val mutable NonNegative : bool" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.NonNegative" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force the factor matrices to be non-negative.", ShortName="nn")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Force the factor matrices to be non-negative.", ShortName="nn")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Boolean</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Force the factor matrices to be non-negative.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NumberOfIterations">
|
||||
<MemberSignature Language="C#" Value="public int NumberOfIterations;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public int32 NumberOfIterations" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.NumberOfIterations" />
|
||||
<MemberSignature Language="VB.NET" Value="Public NumberOfIterations As Integer " />
|
||||
<MemberSignature Language="F#" Value="val mutable NumberOfIterations : int" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.NumberOfIterations" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Training iterations; that is, the times that the training algorithm iterates through the whole training data once.", ShortName="iter,numiterations")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Training iterations; that is, the times that the training algorithm iterates through the whole training data once.", ShortName="iter,numiterations")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("NumIterations", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10,20,40")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Internal.Internallearn.TGUI(SuggestedSweeps="10,20,40")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Number of training iterations.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="NumberOfThreads">
|
||||
<MemberSignature Language="C#" Value="public int? NumberOfThreads;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public valuetype System.Nullable`1<int32> NumberOfThreads" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.NumberOfThreads" />
|
||||
<MemberSignature Language="VB.NET" Value="Public NumberOfThreads As Nullable(Of Integer) " />
|
||||
<MemberSignature Language="F#" Value="val mutable NumberOfThreads : Nullable<int>" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.NumberOfThreads" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of threads can be used in the training procedure.", ShortName="t,numthreads")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Number of threads can be used in the training procedure.", ShortName="t,numthreads")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Nullable<System.Int32></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Number of threads will be used during training. If unspecified all available threads will be use.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Quiet">
|
||||
<MemberSignature Language="C#" Value="public bool Quiet;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public bool Quiet" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.Quiet" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Quiet As Boolean " />
|
||||
<MemberSignature Language="F#" Value="val mutable Quiet : bool" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.Quiet" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Suppress writing additional information to output.")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Suppress writing additional information to output.")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Boolean</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Suppress writing additional information to output.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -1,228 +0,0 @@
|
|||
<Type Name="MatrixFactorizationTrainer" FullName="Microsoft.ML.Trainers.MatrixFactorizationTrainer">
|
||||
<TypeSignature Language="C#" Value="public sealed class MatrixFactorizationTrainer : Microsoft.ML.IEstimator<Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer>, Microsoft.ML.Trainers.ITrainerEstimator<Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer,Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters>" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit MatrixFactorizationTrainer extends System.Object implements class Microsoft.ML.IEstimator`1<class Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer>, class Microsoft.ML.Trainers.ITrainerEstimator`2<class Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer, class Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters>" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Trainers.MatrixFactorizationTrainer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class MatrixFactorizationTrainer
Implements IEstimator(Of MatrixFactorizationPredictionTransformer), ITrainerEstimator(Of MatrixFactorizationPredictionTransformer, MatrixFactorizationModelParameters)" />
|
||||
<TypeSignature Language="F#" Value="type MatrixFactorizationTrainer = class
 interface ITrainerEstimator<MatrixFactorizationPredictionTransformer, MatrixFactorizationModelParameters>
 interface IEstimator<MatrixFactorizationPredictionTransformer>" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface>
|
||||
<InterfaceName>Microsoft.ML.IEstimator<Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer></InterfaceName>
|
||||
</Interface>
|
||||
<Interface>
|
||||
<InterfaceName>Microsoft.ML.IEstimator<TTransformer></InterfaceName>
|
||||
</Interface>
|
||||
<Interface>
|
||||
<InterfaceName>Microsoft.ML.Trainers.ITrainerEstimator<Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer,Microsoft.ML.Trainers.Recommender.MatrixFactorizationModelParameters></InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
<Docs>
|
||||
<summary>
|
||||
The <see cref="T:Microsoft.ML.IEstimator`1" /> to predict elements in a matrix using matrix factorization (also known as a type of <a href="https://en.wikipedia.org/wiki/Collaborative_filtering">collaborative filtering</a>).
|
||||
</summary>
|
||||
<remarks>
|
||||
<format type="text/markdown"><)
|
||||
or [MatrixFactorization(Options)](xref:Microsoft.ML.RecommendationCatalog.RecommendationTrainers.MatrixFactorization(Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options)).
|
||||
|
||||
### Input and Output Columns
|
||||
There are three input columns required, one for matrix row indexes, one for matrix column indexes, and one for
|
||||
values (i.e., labels) in matrix.
|
||||
They together define a matrix in [COO](https://en.wikipedia.org/wiki/Sparse_matrix#Coordinate_list_(COO)) format.
|
||||
The type for label column is a vector of <xref:System.Single> while the other two columns are
|
||||
[key](xref:Microsoft.ML.Data.KeyDataViewType) type scalar.
|
||||
|
||||
| Output Column Name | Column Type | Description|
|
||||
| -- | -- | -- |
|
||||
| `Score` | <xref:System.Single> | The predicted matrix value at the location specified by input columns (row index column and column index column). |
|
||||
|
||||
### Trainer Characteristics
|
||||
| | |
|
||||
| -- | -- |
|
||||
| Machine learning task | Recommender systems |
|
||||
| Is normalization required? | Yes |
|
||||
| Is caching required? | Yes |
|
||||
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.Recommender |
|
||||
| Exportable to ONNX | No |
|
||||
|
||||
### Background
|
||||
The basic idea of matrix factorization is finding two low-rank factor matrices to approximate the training matrix.
|
||||
In this module, the expected training data (the factorized matrix) is a list of tuples.
|
||||
Every tuple consists of a column index, a row index,
|
||||
and the value at the location specified by the two indices. For an example data structure of a tuple, one can use:
|
||||
|
||||
```csharp
|
||||
// The following variables defines the shape of a m-by-n matrix. Indexes start with 0; that is, our indexing system
|
||||
// is 0-based.
|
||||
const int m = 60;
|
||||
const int n = 100;
|
||||
|
||||
// A tuple of row index, column index, and rating. It specifies a value in the rating matrix.
|
||||
class MatrixElement
|
||||
{
|
||||
// Matrix column index starts from 0 and is at most n-1.
|
||||
[KeyType(n)]
|
||||
public uint MatrixColumnIndex;
|
||||
// Matrix row index starts from 0 and is at most m-1.
|
||||
[KeyType(m)]
|
||||
public uint MatrixRowIndex;
|
||||
// The rating at the MatrixColumnIndex-th column and the MatrixRowIndex-th row.
|
||||
public float Value;
|
||||
}
|
||||
```
|
||||
|
||||
Notice that it's not necessary to specify all entries in the training matrix, so matrix factorization can be used to fill <i>missing values</i>.
|
||||
This behavior is very helpful when building recommender systems.
|
||||
|
||||
To provide a better understanding on practical uses of matrix factorization, let's consider music recommendation as an example.
|
||||
Assume that user IDs and music IDs are used as row and column indexes, respectively, and matrix's values are ratings provided by those users.
|
||||
That is, rating $r$ at row $u$ and column $v$ means that user $u$ give $r$ to item $v$.
|
||||
An incomplete matrix is very common because not all users may provide their feedbacks to all products (for example, no one can rate ten million songs).
|
||||
Assume that $R\in{\mathbb R}^{m\times n}$ is a m-by-n rating matrix and the [rank](https://en.wikipedia.org/wiki/Rank_(linear_algebra)) of the two factor matrices are $P\in {\mathbb R}^{k\times m}$ and $Q\in {\mathbb R}^{k\times n}$, where $k$ is the approximation rank.
|
||||
The predicted rating at the $u$-th row and the $v$-th column in $R$ would be the inner product of the $u$-th row of $P$ and the $v$-th row of $Q$; that is, $R$ is approximated by the product of $P$'s transpose ($P^T$) and $Q$.
|
||||
Note that $k$ is usually much smaller than $m$ and $n$, so $P^T Q$ is usually called a low-rank approximation of $R$.
|
||||
|
||||
This trainer includes a [stochastic gradient method](https://en.wikipedia.org/wiki/Stochastic_gradient_descent) and a [coordinate descent method](https://en.wikipedia.org/wiki/Coordinate_descent) for finding $P$ and $Q$ via minimizing the distance between (non-missing part of) $R$ and its approximation $P^T Q$.
|
||||
The coordinate descent method included is specifically for one-class matrix factorization where all observed ratings are positive signals (that is, all rating values are 1).
|
||||
Notice that the only way to invoke one-class matrix factorization is to assign [one-class squared loss](xref:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossOneClass)
|
||||
to [loss function](xref:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options.LossFunction)
|
||||
when calling [MatrixFactorization(Options)](xref:Microsoft.ML.RecommendationCatalog.RecommendationTrainers.MatrixFactorization(Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options)).
|
||||
See Page 6 and Page 28 [here](https://www.csie.ntu.edu.tw/~cjlin/talks/facebook.pdf) for a brief introduction to standard matrix factorization and one-class matrix factorization.
|
||||
The [default setting](xref:Microsoft.ML.Trainers.MatrixFactorizationTrainer.LossFunctionType.SquareLossRegression) induces standard matrix factorization.
|
||||
The underlying library used in ML.NET matrix factorization can be found on [a Github repository](https://github.com/cjlin1/libmf).
|
||||
|
||||
For users interested in the mathematical details, please see the references below.
|
||||
|
||||
* For the multi-threading implementation of the used stochastic gradient method, see [A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems](https://www.csie.ntu.edu.tw/~cjlin/papers/libmf/libmf_journal.pdf).
|
||||
* For the computation happening inside a single thread, see [A Learning-rate Schedule for Stochastic Gradient Methods to Matrix Factorization](https://www.csie.ntu.edu.tw/~cjlin/papers/libmf/mf_adaptive_pakdd.pdf).
|
||||
* For the parallel coordinate descent method used and one-class matrix factorization formula, see [Selection of Negative Samples for One-class Matrix Factorization](https://www.csie.ntu.edu.tw/~cjlin/papers/one-class-mf/biased-mf-sdm-with-supp.pdf).
|
||||
* For details in the underlying library used, see [LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems](https://www.csie.ntu.edu.tw/~cjlin/papers/libmf/libmf_open_source.pdf).
|
||||
|
||||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.RecommendationCatalog.RecommendationTrainers.MatrixFactorization(System.String,System.String,System.String,System.Int32,System.Double,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.RecommendationCatalog.RecommendationTrainers.MatrixFactorization(Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer Fit (Microsoft.ML.IDataView input);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer Fit(class Microsoft.ML.IDataView input) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Fit(Microsoft.ML.IDataView)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Fit (input As IDataView) As MatrixFactorizationPredictionTransformer" />
|
||||
<MemberSignature Language="F#" Value="abstract member Fit : Microsoft.ML.IDataView -> Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer
override this.Fit : Microsoft.ML.IDataView -> Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer" Usage="matrixFactorizationTrainer.Fit input" />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="input" Type="Microsoft.ML.IDataView" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="input">The training data set.</param>
|
||||
<summary>
|
||||
<summary> Trains and returns a <see cref="T:Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer" />.</summary>
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Fit">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer Fit (Microsoft.ML.IDataView trainData, Microsoft.ML.IDataView validationData);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer Fit(class Microsoft.ML.IDataView trainData, class Microsoft.ML.IDataView validationData) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Fit(Microsoft.ML.IDataView,Microsoft.ML.IDataView)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Fit (trainData As IDataView, validationData As IDataView) As MatrixFactorizationPredictionTransformer" />
|
||||
<MemberSignature Language="F#" Value="member this.Fit : Microsoft.ML.IDataView * Microsoft.ML.IDataView -> Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer" Usage="matrixFactorizationTrainer.Fit (trainData, validationData)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="trainData" Type="Microsoft.ML.IDataView" />
|
||||
<Parameter Name="validationData" Type="Microsoft.ML.IDataView" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="trainData">The training data set.</param>
|
||||
<param name="validationData">The validation data set.</param>
|
||||
<summary>
|
||||
Trains a <see cref="T:Microsoft.ML.Trainers.MatrixFactorizationTrainer" /> using both training and validation data, returns a <see cref="T:Microsoft.ML.Trainers.Recommender.MatrixFactorizationPredictionTransformer" />.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.SchemaShape GetOutputSchema (Microsoft.ML.SchemaShape inputSchema);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance class Microsoft.ML.SchemaShape GetOutputSchema(class Microsoft.ML.SchemaShape inputSchema) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Trainers.MatrixFactorizationTrainer.GetOutputSchema(Microsoft.ML.SchemaShape)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetOutputSchema (inputSchema As SchemaShape) As SchemaShape" />
|
||||
<MemberSignature Language="F#" Value="abstract member GetOutputSchema : Microsoft.ML.SchemaShape -> Microsoft.ML.SchemaShape
override this.GetOutputSchema : Microsoft.ML.SchemaShape -> Microsoft.ML.SchemaShape" Usage="matrixFactorizationTrainer.GetOutputSchema inputSchema" />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:Microsoft.ML.IEstimator`1.GetOutputSchema(Microsoft.ML.SchemaShape)</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.SchemaShape</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="inputSchema" Type="Microsoft.ML.SchemaShape" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="inputSchema">To be added.</param>
|
||||
<summary>
|
||||
Schema propagation for transformers. Returns the output schema of the data, if
|
||||
the input schema is like the one provided.
|
||||
</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Info">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.TrainerInfo Info { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.ML.TrainerInfo Info" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Info" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Info As TrainerInfo" />
|
||||
<MemberSignature Language="F#" Value="member this.Info : Microsoft.ML.TrainerInfo" Usage="Microsoft.ML.Trainers.MatrixFactorizationTrainer.Info" />
|
||||
<MemberType>Property</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>P:Microsoft.ML.Trainers.ITrainerEstimator`2.Info</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Recommender</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.TrainerInfo</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The <see cref="T:Microsoft.ML.TrainerInfo" /> contains general parameters for this trainer.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -45,9 +45,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.OlsTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.Ols(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.Ols(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OlsTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.OlsTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Info">
|
||||
|
|
|
|||
|
|
@ -45,9 +45,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,Microsoft.ML.Trainers.IRegressionLoss,System.Single,System.Boolean,System.Single,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -60,9 +60,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})" />
|
||||
<altmember cref="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer.Options" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Info">
|
||||
|
|
|
|||
|
|
@ -44,9 +44,9 @@
|
|||
[!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
Некоторые файлы не были показаны из-за слишком большого количества измененных файлов Показать больше
Загрузка…
Ссылка в новой задаче