CI Update
Build.Reason:Manual by Alma Jenks Build.Url:https://apidrop.visualstudio.com/Content%20CI/_build/results?buildId=330314&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
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Коммит
eace673e8c
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@ -10,7 +10,6 @@
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|
||||
<Member Id="F:Microsoft.ML.Trainers.LightGbm.LightGbmTrainerBase`4.OptionsBase.Verbose" />
|
||||
<Member Id="P:Microsoft.ML.Trainers.LightGbm.LightGbmTrainerBase`4.OptionsBase.Booster" />
|
||||
</Type>
|
||||
</Namespace>
|
||||
<Namespace Name="Microsoft.ML.Transforms">
|
||||
<Type Name="Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator" Id="T:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator">
|
||||
<Member Id="M:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.Fit(Microsoft.ML.IDataView)" />
|
||||
|
|
|
|||
|
|
@ -17,7 +17,7 @@
|
|||
<Interfaces />
|
||||
<Docs>
|
||||
<summary>
|
||||
The naive binning-based calbirator estimator.
|
||||
The naive binning-based calibrator estimator.
|
||||
</summary>
|
||||
<remarks>
|
||||
It divides the range of the outputs into equally sized bins. In each bin,
|
||||
|
|
|
|||
|
|
@ -27,14 +27,14 @@
|
|||
| -- | -- |
|
||||
| Does this estimator need to look at the data to train its parameters? | No |
|
||||
| Input column data type | [Text](<xref:Microsoft.ML.Data.TextDataViewType>) |
|
||||
| Output column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Output column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.ImageAnalytics |
|
||||
| Exportable to ONNX | No |
|
||||
|
||||
The resulting <xref:Microsoft.ML.Data.ImageLoadingTransformer> creates a new column, named as specified in the output column name parameters, and
|
||||
loads in it images specified in the input column.
|
||||
Loading is the first step of almost every pipeline that does image processing, and further analysis on images.
|
||||
The images to load need to be in the formats supported by <xref:System.Drawing.Bitmap>.
|
||||
The images to load need to be in the formats supported by <xref:Microsoft.ML.Data.MLImage> implementation.
|
||||
For end-to-end image processing pipelines, and scenarios in your applications, see the
|
||||
[examples](https://github.com/dotnet/machinelearning-samples/tree/main/samples/csharp/getting-started) in the machinelearning-samples github repository.</a>
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,293 @@
|
|||
<Type Name="MLImage" FullName="Microsoft.ML.Data.MLImage">
|
||||
<TypeSignature Language="C#" Value="public sealed class MLImage : IDisposable" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit MLImage extends System.Object implements class System.IDisposable" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Data.MLImage" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class MLImage
Implements IDisposable" />
|
||||
<TypeSignature Language="F#" Value="type MLImage = class
 interface IDisposable" />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface>
|
||||
<InterfaceName>System.IDisposable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
<Docs>
|
||||
<summary>
|
||||
Provide interfaces for imaging operations.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="BitsPerPixel">
|
||||
<MemberSignature Language="C#" Value="public int BitsPerPixel { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance int32 BitsPerPixel" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Data.MLImage.BitsPerPixel" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property BitsPerPixel As Integer" />
|
||||
<MemberSignature Language="F#" Value="member this.BitsPerPixel : int" Usage="Microsoft.ML.Data.MLImage.BitsPerPixel" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Gets how many bits per pixel used by current image object.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateFromFile">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.Data.MLImage CreateFromFile (string imagePath);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Data.MLImage CreateFromFile(string imagePath) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Data.MLImage.CreateFromFile(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function CreateFromFile (imagePath As String) As MLImage" />
|
||||
<MemberSignature Language="F#" Value="static member CreateFromFile : string -> Microsoft.ML.Data.MLImage" Usage="Microsoft.ML.Data.MLImage.CreateFromFile imagePath" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Data.MLImage</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="imagePath" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="imagePath">The image file path to create the image from.</param>
|
||||
<summary>
|
||||
Create a new MLImage instance from a stream.
|
||||
</summary>
|
||||
<returns>MLImage object.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateFromPixels">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.Data.MLImage CreateFromPixels (int width, int height, Microsoft.ML.Data.MLPixelFormat pixelFormat, ReadOnlySpan<byte> imagePixelData);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Data.MLImage CreateFromPixels(int32 width, int32 height, valuetype Microsoft.ML.Data.MLPixelFormat pixelFormat, valuetype System.ReadOnlySpan`1<unsigned int8> imagePixelData) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Data.MLImage.CreateFromPixels(System.Int32,System.Int32,Microsoft.ML.Data.MLPixelFormat,System.ReadOnlySpan{System.Byte})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function CreateFromPixels (width As Integer, height As Integer, pixelFormat As MLPixelFormat, imagePixelData As ReadOnlySpan(Of Byte)) As MLImage" />
|
||||
<MemberSignature Language="F#" Value="static member CreateFromPixels : int * int * Microsoft.ML.Data.MLPixelFormat * ReadOnlySpan<byte> -> Microsoft.ML.Data.MLImage" Usage="Microsoft.ML.Data.MLImage.CreateFromPixels (width, height, pixelFormat, imagePixelData)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Data.MLImage</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="width" Type="System.Int32" />
|
||||
<Parameter Name="height" Type="System.Int32" />
|
||||
<Parameter Name="pixelFormat" Type="Microsoft.ML.Data.MLPixelFormat" />
|
||||
<Parameter Name="imagePixelData" Type="System.ReadOnlySpan<System.Byte>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="width">The width of the image in pixels.</param>
|
||||
<param name="height">The height of the image in pixels.</param>
|
||||
<param name="pixelFormat">The pixel format to create the image with.</param>
|
||||
<param name="imagePixelData">The pixels data to create the image from.</param>
|
||||
<summary>
|
||||
Creates MLImage object from the pixel data span.
|
||||
</summary>
|
||||
<returns>MLImage object.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="CreateFromStream">
|
||||
<MemberSignature Language="C#" Value="public static Microsoft.ML.Data.MLImage CreateFromStream (System.IO.Stream imageStream);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Data.MLImage CreateFromStream(class System.IO.Stream imageStream) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Data.MLImage.CreateFromStream(System.IO.Stream)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Function CreateFromStream (imageStream As Stream) As MLImage" />
|
||||
<MemberSignature Language="F#" Value="static member CreateFromStream : System.IO.Stream -> Microsoft.ML.Data.MLImage" Usage="Microsoft.ML.Data.MLImage.CreateFromStream imageStream" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Data.MLImage</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="imageStream" Type="System.IO.Stream" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="imageStream">The stream to create the image from.</param>
|
||||
<summary>
|
||||
Create a new MLImage instance from a stream.
|
||||
</summary>
|
||||
<returns>MLImage object.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Dispose">
|
||||
<MemberSignature Language="C#" Value="public void Dispose ();" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance void Dispose() cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Data.MLImage.Dispose" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub Dispose ()" />
|
||||
<MemberSignature Language="F#" Value="abstract member Dispose : unit -> unit
override this.Dispose : unit -> unit" Usage="mLImage.Dispose " />
|
||||
<MemberType>Method</MemberType>
|
||||
<Implements>
|
||||
<InterfaceMember>M:System.IDisposable.Dispose</InterfaceMember>
|
||||
</Implements>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters />
|
||||
<Docs>
|
||||
<summary>
|
||||
Disposes the image.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Height">
|
||||
<MemberSignature Language="C#" Value="public int Height { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance int32 Height" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Data.MLImage.Height" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Height As Integer" />
|
||||
<MemberSignature Language="F#" Value="member this.Height : int" Usage="Microsoft.ML.Data.MLImage.Height" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Gets the image height in pixels.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="PixelFormat">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.Data.MLPixelFormat PixelFormat { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype Microsoft.ML.Data.MLPixelFormat PixelFormat" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Data.MLImage.PixelFormat" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property PixelFormat As MLPixelFormat" />
|
||||
<MemberSignature Language="F#" Value="member this.PixelFormat : Microsoft.ML.Data.MLPixelFormat" Usage="Microsoft.ML.Data.MLImage.PixelFormat" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Data.MLPixelFormat</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Gets the pixel format for this Image.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Pixels">
|
||||
<MemberSignature Language="C#" Value="public ReadOnlySpan<byte> Pixels { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype System.ReadOnlySpan`1<unsigned int8> Pixels" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Data.MLImage.Pixels" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Pixels As ReadOnlySpan(Of Byte)" />
|
||||
<MemberSignature Language="F#" Value="member this.Pixels : ReadOnlySpan<byte>" Usage="Microsoft.ML.Data.MLImage.Pixels" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.ReadOnlySpan<System.Byte></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Gets the image pixel data.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Save">
|
||||
<MemberSignature Language="C#" Value="public void Save (string imagePath);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance void Save(string imagePath) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Data.MLImage.Save(System.String)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Sub Save (imagePath As String)" />
|
||||
<MemberSignature Language="F#" Value="member this.Save : string -> unit" Usage="mLImage.Save imagePath" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="imagePath" Type="System.String" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="imagePath">The path of the file to save the image to.</param>
|
||||
<summary>
|
||||
Save the current image to a file.
|
||||
</summary>
|
||||
<remarks>The saved image encoding will be detected from the file extension.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Tag">
|
||||
<MemberSignature Language="C#" Value="public string Tag { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance string Tag" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Data.MLImage.Tag" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property Tag As String" />
|
||||
<MemberSignature Language="F#" Value="member this.Tag : string with get, set" Usage="Microsoft.ML.Data.MLImage.Tag" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.String</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Gets or sets the image tag.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Width">
|
||||
<MemberSignature Language="C#" Value="public int Width { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance int32 Width" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Data.MLImage.Width" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Width As Integer" />
|
||||
<MemberSignature Language="F#" Value="member this.Width : int" Usage="Microsoft.ML.Data.MLImage.Width" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Gets the image width in pixels.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -0,0 +1,87 @@
|
|||
<Type Name="MLPixelFormat" FullName="Microsoft.ML.Data.MLPixelFormat">
|
||||
<TypeSignature Language="C#" Value="public enum MLPixelFormat" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed MLPixelFormat extends System.Enum" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Data.MLPixelFormat" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Enum MLPixelFormat" />
|
||||
<TypeSignature Language="F#" Value="type MLPixelFormat = " />
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Base>
|
||||
<BaseTypeName>System.Enum</BaseTypeName>
|
||||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Specifies the format of the color data for each pixel in the image.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Bgra32">
|
||||
<MemberSignature Language="C#" Value="Bgra32" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.Data.MLPixelFormat Bgra32 = int32(1)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Data.MLPixelFormat.Bgra32" />
|
||||
<MemberSignature Language="VB.NET" Value="Bgra32" />
|
||||
<MemberSignature Language="F#" Value="Bgra32 = 1" Usage="Microsoft.ML.Data.MLPixelFormat.Bgra32" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Data.MLPixelFormat</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>1</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Specifies that the format is 32 bits per pixel; 8 bits each are used for the blue, green, red, and alpha components.
|
||||
The color components are stored in blue, green, red, and alpha order
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Rgba32">
|
||||
<MemberSignature Language="C#" Value="Rgba32" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.Data.MLPixelFormat Rgba32 = int32(2)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Data.MLPixelFormat.Rgba32" />
|
||||
<MemberSignature Language="VB.NET" Value="Rgba32" />
|
||||
<MemberSignature Language="F#" Value="Rgba32 = 2" Usage="Microsoft.ML.Data.MLPixelFormat.Rgba32" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Data.MLPixelFormat</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>2</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Specifies that the format is 32 bits per pixel; 8 bits each are used for the red, green, blue, and alpha components.
|
||||
The color components are stored in red, green, blue, and alpha order
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Unknown">
|
||||
<MemberSignature Language="C#" Value="Unknown" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public static literal valuetype Microsoft.ML.Data.MLPixelFormat Unknown = int32(0)" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Data.MLPixelFormat.Unknown" />
|
||||
<MemberSignature Language="VB.NET" Value="Unknown" />
|
||||
<MemberSignature Language="F#" Value="Unknown = 0" Usage="Microsoft.ML.Data.MLPixelFormat.Unknown" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.ImageAnalytics</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.Data.MLPixelFormat</ReturnType>
|
||||
</ReturnValue>
|
||||
<MemberValue>0</MemberValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
The pixel format is unknown.
|
||||
</summary>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
@ -236,6 +236,32 @@
|
|||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.DataViewSchema GetOutputSchema (Microsoft.ML.DataViewSchema inputSchema, Microsoft.ML.Data.TransformerScope scope);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.DataViewSchema GetOutputSchema(class Microsoft.ML.DataViewSchema inputSchema, valuetype Microsoft.ML.Data.TransformerScope scope) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Data.TransformerChain`1.GetOutputSchema(Microsoft.ML.DataViewSchema,Microsoft.ML.Data.TransformerScope)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetOutputSchema (inputSchema As DataViewSchema, scope As TransformerScope) As DataViewSchema" />
|
||||
<MemberSignature Language="F#" Value="member this.GetOutputSchema : Microsoft.ML.DataViewSchema * Microsoft.ML.Data.TransformerScope -> Microsoft.ML.DataViewSchema" Usage="transformerChain.GetOutputSchema (inputSchema, scope)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Data</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.DataViewSchema</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="inputSchema" Type="Microsoft.ML.DataViewSchema" Index="0" FrameworkAlternate="ml-dotnet" />
|
||||
<Parameter Name="scope" Type="Microsoft.ML.Data.TransformerScope" Index="1" FrameworkAlternate="ml-dotnet" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="inputSchema">To be added.</param>
|
||||
<param name="scope">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="LastTransformer">
|
||||
<MemberSignature Language="C#" Value="public readonly TLastTransformer LastTransformer;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public initonly !TLastTransformer LastTransformer" />
|
||||
|
|
@ -382,5 +408,31 @@
|
|||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Transform">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.IDataView Transform (Microsoft.ML.IDataView input, Microsoft.ML.Data.TransformerScope scope);" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.IDataView Transform(class Microsoft.ML.IDataView input, valuetype Microsoft.ML.Data.TransformerScope scope) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Data.TransformerChain`1.Transform(Microsoft.ML.IDataView,Microsoft.ML.Data.TransformerScope)" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function Transform (input As IDataView, scope As TransformerScope) As IDataView" />
|
||||
<MemberSignature Language="F#" Value="member this.Transform : Microsoft.ML.IDataView * Microsoft.ML.Data.TransformerScope -> Microsoft.ML.IDataView" Usage="transformerChain.Transform (input, scope)" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Data</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>Microsoft.ML.IDataView</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="input" Type="Microsoft.ML.IDataView" Index="0" FrameworkAlternate="ml-dotnet" />
|
||||
<Parameter Name="scope" Type="Microsoft.ML.Data.TransformerScope" Index="1" FrameworkAlternate="ml-dotnet" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="input">To be added.</param>
|
||||
<param name="scope">To be added.</param>
|
||||
<summary>To be added.</summary>
|
||||
<returns>To be added.</returns>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
</Members>
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -148,7 +148,7 @@
|
|||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Path is a list of the dimension key that the libary selected for you. In this root cause localization library, for one time call for the library, the path will be obtained and the length of path list will always be 1. Different RootCauseItem obtained from one library call will have the same path as it is the best dimension selected for the input.
|
||||
Path is a list of the dimension key that the library selected for you. In this root cause localization library, for one time call for the library, the path will be obtained and the length of path list will always be 1. Different RootCauseItem obtained from one library call will have the same path as it is the best dimension selected for the input.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
|
|
|
|||
|
|
@ -147,7 +147,7 @@
|
|||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Point with the anomaly dimension must exist in the slice list at the anomaly timestamp, or the libary will not calculate the root cause.
|
||||
Point with the anomaly dimension must exist in the slice list at the anomaly timestamp, or the library will not calculate the root cause.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
|
|
|
|||
|
|
@ -13,7 +13,7 @@
|
|||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
The Deseasonality modes of SrCnn models. The de-seasonality mode is envoked when the period of the series is greater than 0.
|
||||
The Deseasonality modes of SrCnn models. The de-seasonality mode is invoked when the period of the series is greater than 0.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -48,9 +48,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -679,6 +679,33 @@
|
|||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="MemoryStatistics">
|
||||
<MemberSignature Language="C#" Value="public bool MemoryStatistics;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public bool MemoryStatistics" />
|
||||
<MemberSignature Language="DocId" Value="F:Microsoft.ML.Trainers.FastTree.TreeOptions.MemoryStatistics" />
|
||||
<MemberSignature Language="VB.NET" Value="Public MemoryStatistics As Boolean " />
|
||||
<MemberSignature Language="F#" Value="val mutable MemoryStatistics : bool" Usage="Microsoft.ML.Trainers.FastTree.TreeOptions.MemoryStatistics" />
|
||||
<MemberType>Field</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.FastTree</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute FrameworkAlternate="ml-dotnet">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Print memory statistics to stdout", ShortName="memstats")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Print memory statistics to stdout", ShortName="memstats")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Boolean</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Print memory statistics to ML.NET channel.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="MinimumExampleCountPerLeaf">
|
||||
<MemberSignature Language="C#" Value="public int MinimumExampleCountPerLeaf;" />
|
||||
<MemberSignature Language="ILAsm" Value=".field public int32 MinimumExampleCountPerLeaf" />
|
||||
|
|
|
|||
|
|
@ -41,8 +41,8 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,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.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -112,7 +112,7 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use for multi-class classification when training data is not balanced", ShortName="us")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Use for multi-class classification when training data is not balanced", ShortName="us")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -41,9 +41,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -54,22 +54,22 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")>]</AttributeName>
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.0.0;ml-dotnet-1.1.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="An array of gains associated to each relevance label.", ShortName="gains")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="An array of gains associated to each relevance label.", ShortName="gains")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.Internal.Internallearn.TGUI(Label="Ranking Label Gain")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.Internal.Internallearn.TGUI(Label="Ranking Label Gain")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.0.0;ml-dotnet-1.1.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="An array of gains associated to each relevance label.", ShortName="gains")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="An array of gains associated to each relevance label.", ShortName="gains")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="An array of gains associated to each relevance label.", ShortName="gains")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Int32[]</ReturnType>
|
||||
|
|
|
|||
|
|
@ -41,9 +41,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -41,9 +41,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -166,17 +166,17 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.", ShortName="hmv")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.", ShortName="hmv")>]</AttributeName>
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.0.0;ml-dotnet-1.1.0;ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute>
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseMissing", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseMissing", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.0.0;ml-dotnet-1.1.0;ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.")>]</AttributeName>
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.", ShortName="hmv")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable special handling of missing value or not.", ShortName="hmv")>]</AttributeName>
|
||||
</Attribute>
|
||||
</Attributes>
|
||||
<ReturnValue>
|
||||
|
|
@ -596,11 +596,11 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable usage of zero (0) as missing value.", ShortName="uzam")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Enable usage of zero (0) as missing value.", ShortName="uzam")>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseZeroAsMissing", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.EntryPoints.TlcModule/SweepableDiscreteParam("UseZeroAsMissing", new System.Object[] { Mono.Cecil.CustomAttributeArgument, Mono.Cecil.CustomAttributeArgument }, false)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -58,9 +58,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -132,7 +132,7 @@
|
|||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Get the latent dimension. It's the tlngth of `v_{j, f}` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf
|
||||
Get the latent dimension. It's the length of `v_{j, f}` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
|
|
|
|||
|
|
@ -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,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)" />
|
||||
<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="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -61,9 +61,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -45,9 +45,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)" />
|
||||
<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)" />
|
||||
</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,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)" />
|
||||
<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)" />
|
||||
</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,System.String,System.String,System.String,System.Int32)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -107,9 +107,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.RecommendationCatalog.RecommendationTrainers.MatrixFactorization(Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options)" />
|
||||
<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">
|
||||
|
|
|
|||
|
|
@ -45,9 +45,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.Ols(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OlsTrainer.Options)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Info">
|
||||
|
|
|
|||
|
|
@ -45,9 +45,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -60,9 +60,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)" />
|
||||
<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)" />
|
||||
</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="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -49,9 +49,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -72,12 +72,12 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -42,9 +42,9 @@
|
|||
[!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -49,9 +49,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -44,9 +44,9 @@
|
|||
[!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.SdcaRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaRegressionTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaRegressionLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.SdcaRegressionTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdCalibratedTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SgdCalibratedTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Double,System.Single)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdCalibratedTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -38,9 +38,9 @@
|
|||
[!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Int32,System.Double,System.Single)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -51,9 +51,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.SymbolicSgdLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.SymbolicSgdLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.SymbolicSgdLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -25,8 +25,8 @@
|
|||
| | |
|
||||
| -- | -- |
|
||||
| Does this estimator need to look at the data to train its parameters? | No |
|
||||
| Input column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Output column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Input column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Output column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.ImageAnalytics |
|
||||
| Exportable to ONNX | No |
|
||||
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@
|
|||
| | |
|
||||
| -- | -- |
|
||||
| Does this estimator need to look at the data to train its parameters? | No |
|
||||
| Input column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Input column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Output column data type | Known-sized vector of <xref:System.Single> or <xref:System.Byte> |
|
||||
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.ImageAnalytics |
|
||||
| Exportable to ONNX | No |
|
||||
|
|
|
|||
|
|
@ -13,7 +13,7 @@
|
|||
</Base>
|
||||
<Docs>
|
||||
<summary>
|
||||
Specifies how to resize the images: by croping them or padding in the direction needed to fill up.
|
||||
Specifies how to resize the images: by cropping them or padding in the direction needed to fill up.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
|
|
|
|||
|
|
@ -26,8 +26,8 @@
|
|||
| | |
|
||||
| -- | -- |
|
||||
| Does this estimator need to look at the data to train its parameters? | No |
|
||||
| Input column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Output column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Input column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Output column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.ImageAnalytics |
|
||||
| Exportable to ONNX | No |
|
||||
|
||||
|
|
|
|||
|
|
@ -27,7 +27,7 @@
|
|||
| -- | -- |
|
||||
| Does this estimator need to look at the data to train its parameters? | No |
|
||||
| Input column data type | Known-sized vector of <xref:System.Single>, <xref:System.Double> or <xref:System.Byte>. |
|
||||
| Output column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Output column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.ImageAnalytics |
|
||||
| Exportable to ONNX | No |
|
||||
|
||||
|
|
|
|||
|
|
@ -72,7 +72,7 @@
|
|||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
GPU device id to run on (e.g. 0,1,..). Null for CPU. Requires CUDA 9.1.
|
||||
GPU device id to run on (e.g. 0,1,..). Null for CPU. Requires CUDA 10.1.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
|
|
|
|||
|
|
@ -48,8 +48,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options,System.String[])" />
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,8 +40,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)" />
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)" />
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -48,8 +48,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind)" />
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,8 +40,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -41,9 +41,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[])" />
|
||||
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[],System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.DropColumns(Microsoft.ML.TransformsCatalog,System.String[])" />
|
||||
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[])" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
|
|
|
|||
|
|
@ -61,8 +61,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.Int64)" />
|
||||
<altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int64)" />
|
||||
<altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.Int64)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -79,8 +79,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution``2(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.CalibratedModelParametersBase{``0,``1}},System.Int32,System.Int32,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Trainers.ICalculateFeatureContribution},System.Int32,System.Int32,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution``2(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.CalibratedModelParametersBase{``0,``1}},System.Int32,System.Int32,System.Boolean)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
|
|
|
|||
|
|
@ -35,8 +35,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions[])" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions[])" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -33,8 +33,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[])" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
|
|
|
|||
|
|
@ -36,8 +36,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Boolean)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
|
|
|
|||
|
|
@ -35,8 +35,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[])" />
|
||||
<altmember cref="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[])" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
|
|
|
|||
|
|
@ -37,8 +37,8 @@
|
|||
Check the See Also section for links of usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -65,8 +65,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.String,System.Int32,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],System.String,System.Int32,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.String,System.Int32,System.Int32)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -65,8 +65,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)" />
|
||||
<altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)" />
|
||||
<altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -41,19 +41,19 @@
|
|||
|
||||
- <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator> produces an [indicator vector](https://en.wikipedia.org/wiki/Indicator_vector).
|
||||
Each slot in this vector corresponds to a category in the dictionary, so its length is the size of the built dictionary.
|
||||
If a value is not found in the dictioray, the output is the zero vector.
|
||||
If a value is not found in the dictionary, the output is the zero vector.
|
||||
|
||||
- <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag> produces one vector such that each slot stores the number
|
||||
of occurances of the corresponding value in the input vector.
|
||||
of occurrences of the corresponding value in the input vector.
|
||||
Each slot in this vector corresponds to a value in the dictionary, so its length is the size of the built dictionary.
|
||||
<xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator> and <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag>
|
||||
differ simply in how the bit-vectors generated from individual slots in the input column are aggregated:
|
||||
for Indicator they are concatenated and for Bag they are added. When the source column is a Scalar, the Indicator and Bag options are identical.
|
||||
|
||||
- <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Key> produces keys in a <xref:Microsoft.ML.Data.KeyDataViewType> column.
|
||||
If the input column is a vector, the output contains a vectory [key](xref:Microsoft.ML.Data.KeyDataViewType) type, where each slot of the
|
||||
If the input column is a vector, the output contains a vector [key](xref:Microsoft.ML.Data.KeyDataViewType) type, where each slot of the
|
||||
vector corresponds to the respective slot of the input vector.
|
||||
If a category is not found in the bulit dictionary, it is assigned the value zero.
|
||||
If a category is not found in the built dictionary, it is assigned the value zero.
|
||||
|
||||
- <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Binary> produces a binary encoded vector to represent the values found in the dictionary
|
||||
that are present in the input column. If a value in the input column is not found in the dictionary, the output is the zero vector.
|
||||
|
|
@ -64,8 +64,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -34,8 +34,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,Microsoft.ML.Data.DataKind)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Data.DataKind)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,Microsoft.ML.Data.DataKind)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="GetOutputSchema">
|
||||
|
|
|
|||
|
|
@ -48,8 +48,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -43,7 +43,7 @@
|
|||
<param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.
|
||||
This column's data type will be the same as that of the input column.</param>
|
||||
<param name="inputColumnName">Name of the column to convert images to grayscale from.
|
||||
This estimator operates only on <see cref="T:System.Drawing.Bitmap" />.</param>
|
||||
This estimator operates only on <see cref="T:Microsoft.ML.Data.MLImage" />.</param>
|
||||
<summary>
|
||||
Create a <see cref="T:Microsoft.ML.Transforms.Image.ImageGrayscalingEstimator" />, which converts images in the column specified in <see cref="P:Microsoft.ML.InputOutputColumnPair.InputColumnName" />
|
||||
to grayscale images in a new column: <see cref="P:Microsoft.ML.InputOutputColumnPair.OutputColumnName" />.
|
||||
|
|
@ -93,7 +93,7 @@
|
|||
<param name="imageHeight">The height of the output images.</param>
|
||||
<param name="imageWidth">The width of the output images.</param>
|
||||
<param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.
|
||||
This column's data type will be <see cref="T:System.Drawing.Bitmap" />.</param>
|
||||
This column's data type will be <see cref="T:Microsoft.ML.Data.MLImage" />.</param>
|
||||
<param name="inputColumnName">Name of the column with data to be converted to image.
|
||||
This estimator operates over known-sized vector of <see cref="T:System.Single" />, <see cref="T:System.Double" /> and <see cref="T:System.Byte" />.</param>
|
||||
<param name="colorsPresent">Specifies which <see cref="T:Microsoft.ML.Transforms.Image.ImagePixelExtractingEstimator.ColorBits" /> are in present the input pixel vectors. The order of colors is specified in <paramref name="orderOfColors" />.</param>
|
||||
|
|
@ -149,7 +149,7 @@
|
|||
<param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.
|
||||
This column's data type will be a known-sized vector of <see cref="T:System.Single" /> or <see cref="T:System.Byte" /> depending on <paramref name="outputAsFloatArray" />.</param>
|
||||
<param name="inputColumnName">Name of the column with images.
|
||||
This estimator operates over <see cref="T:System.Drawing.Bitmap" />.</param>
|
||||
This estimator operates over <see cref="T:Microsoft.ML.Data.MLImage" />.</param>
|
||||
<param name="colorsToExtract">The colors to extract from the image.</param>
|
||||
<param name="orderOfExtraction">The order in which to extract colors from pixel.</param>
|
||||
<param name="interleavePixelColors">Whether to interleave the pixels colors, meaning keep them in the <paramref name="orderOfExtraction" /> order, or leave them in the planner form:
|
||||
|
|
@ -194,7 +194,7 @@
|
|||
<Docs>
|
||||
<param name="catalog">The transform's catalog.</param>
|
||||
<param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.
|
||||
This column's data type will be <see cref="T:System.Drawing.Bitmap" />.</param>
|
||||
This column's data type will be <see cref="T:Microsoft.ML.Data.MLImage" />.</param>
|
||||
<param name="imageFolder">Folder where to look for images.</param>
|
||||
<param name="inputColumnName">Name of the column with paths to the images to load.
|
||||
This estimator operates over text data.</param>
|
||||
|
|
@ -281,7 +281,7 @@
|
|||
<param name="imageWidth">The transformed image width.</param>
|
||||
<param name="imageHeight">The transformed image height.</param>
|
||||
<param name="inputColumnName">Name of the column with images.
|
||||
This estimator operates over <see cref="T:System.Drawing.Bitmap" />.</param>
|
||||
This estimator operates over <see cref="T:Microsoft.ML.Data.MLImage" />.</param>
|
||||
<param name="resizing"> The type of image resizing as specified in <see cref="T:Microsoft.ML.Transforms.Image.ImageResizingEstimator.ResizingKind" />.</param>
|
||||
<param name="cropAnchor">Where to place the anchor, to start cropping. Options defined in <see cref="T:Microsoft.ML.Transforms.Image.ImageResizingEstimator.Anchor" /></param>
|
||||
<summary>
|
||||
|
|
|
|||
|
|
@ -194,6 +194,28 @@
|
|||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="FallbackToCpu">
|
||||
<MemberSignature Language="C#" Value="public bool FallbackToCpu { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance bool FallbackToCpu" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.MLContext.FallbackToCpu" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property FallbackToCpu As Boolean" />
|
||||
<MemberSignature Language="F#" Value="member this.FallbackToCpu : bool with get, set" Usage="Microsoft.ML.MLContext.FallbackToCpu" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Data</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Boolean</ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
Allow falling back to run on CPU if couldn't run on GPU.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Forecasting">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.ForecastingCatalog Forecasting { get; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.ML.ForecastingCatalog Forecasting" />
|
||||
|
|
@ -216,6 +238,28 @@
|
|||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GpuDeviceId">
|
||||
<MemberSignature Language="C#" Value="public int? GpuDeviceId { get; set; }" />
|
||||
<MemberSignature Language="ILAsm" Value=".property instance valuetype System.Nullable`1<int32> GpuDeviceId" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.MLContext.GpuDeviceId" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Property GpuDeviceId As Nullable(Of Integer)" />
|
||||
<MemberSignature Language="F#" Value="member this.GpuDeviceId : Nullable<int> with get, set" Usage="Microsoft.ML.MLContext.GpuDeviceId" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Data</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType>System.Nullable<System.Int32></ReturnType>
|
||||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
GPU device ID to run execution on, <see langword="null" /> to run on CPU.
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Log">
|
||||
<MemberSignature Language="C#" Value="public event EventHandler<Microsoft.ML.LoggingEventArgs> Log;" />
|
||||
<MemberSignature Language="ILAsm" Value=".event class System.EventHandler`1<class Microsoft.ML.LoggingEventArgs> Log" />
|
||||
|
|
|
|||
|
|
@ -84,6 +84,7 @@
|
|||
<remarks>
|
||||
The name/type of input columns must exactly match name/type of the ONNX model inputs.
|
||||
The name/type of the produced output columns will match name/type of the ONNX model outputs.
|
||||
If the gpuDeviceId value is <see langword="null" /> the <see cref="P:MLContext.GpuDeviceId" /> value will be used if it is not <see langword="null" />.
|
||||
</remarks>
|
||||
<example>
|
||||
<format type="text/markdown"><![CDATA[
|
||||
|
|
@ -132,6 +133,7 @@
|
|||
<remarks>
|
||||
The name/type of input columns must exactly match name/type of the ONNX model inputs.
|
||||
The name/type of the produced output columns will match name/type of the ONNX model outputs.
|
||||
If the gpuDeviceId value is <see langword="null" /> the <see cref="P:MLContext.GpuDeviceId" /> value will be used if it is not <see langword="null" />.
|
||||
</remarks>
|
||||
<example>
|
||||
<format type="text/markdown"><![CDATA[
|
||||
|
|
|
|||
|
|
@ -675,7 +675,7 @@
|
|||
<param name="seriesLength">The length of series that is kept in buffer for modeling (parameter N).</param>
|
||||
<param name="trainSize">The length of series from the beginning used for training.</param>
|
||||
<param name="horizon">The number of values to forecast.</param>
|
||||
<param name="isAdaptive">The flag determing whether the model is adaptive.</param>
|
||||
<param name="isAdaptive">The flag determining whether the model is adaptive.</param>
|
||||
<param name="discountFactor">The discount factor in [0,1] used for online updates.</param>
|
||||
<param name="rankSelectionMethod">The rank selection method.</param>
|
||||
<param name="rank">The desired rank of the subspace used for SSA projection (parameter r). This parameter should be in the range in [1, windowSize].
|
||||
|
|
|
|||
|
|
@ -1 +1 @@
|
|||
{"ml-dotnet":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"1.7.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"1.7.1","Feed":"https://api.nuget.org/v3/index.json"}}}
|
||||
{"ml-dotnet":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"2.0.0","Feed":"https://api.nuget.org/v3/index.json"}}}
|
||||
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