CI Update
Build.Reason:Manual by Alma Jenks Build.Url:https://apidrop.visualstudio.com/Content%20CI/_build/results?buildId=330302&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
6066e58736
Коммит
be1848a9f5
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@ -92,8 +92,8 @@
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</TypeParameter>
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="services" Type="Microsoft.Extensions.DependencyInjection.IServiceCollection" RefType="this" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="implementationFactory" Type="System.Func<System.IServiceProvider,Microsoft.Extensions.ML.PredictionEnginePool<TData,TPrediction>>" Index="1" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="services" Type="Microsoft.Extensions.DependencyInjection.IServiceCollection" RefType="this" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<Parameter Name="implementationFactory" Type="System.Func<System.IServiceProvider,Microsoft.Extensions.ML.PredictionEnginePool<TData,TPrediction>>" Index="1" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="TData">To be added.</typeparam>
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||||
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@ -128,7 +128,7 @@
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|||
<ReturnType>Microsoft.Extensions.DependencyInjection.IServiceCollection</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="services" Type="Microsoft.Extensions.DependencyInjection.IServiceCollection" RefType="this" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="services" Type="Microsoft.Extensions.DependencyInjection.IServiceCollection" RefType="this" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
</Parameters>
|
||||
<Docs>
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||||
<param name="services">
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||||
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@ -17,7 +17,7 @@
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<Interfaces />
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||||
<Docs>
|
||||
<summary>
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||||
The naive binning-based calibrator estimator.
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||||
The naive binning-based calbirator estimator.
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||||
</summary>
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||||
<remarks>
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||||
It divides the range of the outputs into equally sized bins. In each bin,
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@ -1,9 +1,9 @@
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<Type Name="CompositeDataLoader<TSource,TLastTransformer>" FullName="Microsoft.ML.Data.CompositeDataLoader<TSource,TLastTransformer>">
|
||||
<TypeSignature Language="C#" Value="public sealed class CompositeDataLoader<TSource,TLastTransformer> : IDisposable, Microsoft.ML.IDataLoader<TSource> where TLastTransformer : class, ITransformer" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
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||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit CompositeDataLoader`2<TSource, class (class Microsoft.ML.ITransformer) TLastTransformer> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.IDataLoader`1<!TSource>, class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
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||||
<TypeSignature Language="C#" Value="public sealed class CompositeDataLoader<TSource,TLastTransformer> : IDisposable, Microsoft.ML.IDataLoader<TSource> where TLastTransformer : class, ITransformer" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
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||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit CompositeDataLoader`2<TSource, class (class Microsoft.ML.ITransformer) TLastTransformer> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.IDataLoader`1<!TSource>, class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
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||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Data.CompositeDataLoader`2" />
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||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class CompositeDataLoader(Of TSource, TLastTransformer)
Implements IDataLoader(Of TSource), IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
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||||
<TypeSignature Language="F#" Value="type CompositeDataLoader<'Source, 'LastTransformer (requires 'LastTransformer : null and 'LastTransformer :> ITransformer)> = class
 interface IDataLoader<'Source>
 interface ICanSaveModel
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class CompositeDataLoader(Of TSource, TLastTransformer)
Implements IDataLoader(Of TSource), IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
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||||
<TypeSignature Language="F#" Value="type CompositeDataLoader<'Source, 'LastTransformer (requires 'LastTransformer : null and 'LastTransformer :> ITransformer)> = class
 interface IDataLoader<'Source>
 interface ICanSaveModel
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class CompositeDataLoader<TSource,TLastTransformer> : Microsoft.ML.IDataLoader<TSource> where TLastTransformer : class, ITransformer" 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" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit CompositeDataLoader`2<TSource, class (class Microsoft.ML.ITransformer) TLastTransformer> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.IDataLoader`1<!TSource>" 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" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class CompositeDataLoader(Of TSource, TLastTransformer)
Implements IDataLoader(Of TSource)" 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" />
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||||
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@ -31,7 +31,7 @@
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<Interface>
|
||||
<InterfaceName>Microsoft.ML.IDataLoader<TSource></InterfaceName>
|
||||
</Interface>
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<InterfaceName>System.IDisposable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
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||||
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@ -36,13 +36,13 @@
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|||
<ReturnType>System.Void</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="dataViewType" Type="Microsoft.ML.Data.DataViewType" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="type" Type="System.Type" Index="1" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="typeAttribute" Type="Microsoft.ML.Data.DataViewTypeAttribute" Index="2" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="dataViewType" Type="Microsoft.ML.Data.DataViewType" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<Parameter Name="type" Type="System.Type" Index="1" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<Parameter Name="typeAttribute" Type="Microsoft.ML.Data.DataViewTypeAttribute" Index="2" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="type">Native type in C#.</param>
|
||||
<param name="dataViewType">The corresponding type of <paramref name="type" /> in ML.NET's type system.</param>
|
||||
<param name="type">Native type in C#.</param>
|
||||
<param name="typeAttribute">The <see cref="T:Microsoft.ML.Data.DataViewTypeAttribute" /> attached to <paramref name="type" />.</param>
|
||||
<summary>
|
||||
This function tells that <paramref name="dataViewType" /> should be representation of data in <paramref name="type" /> in
|
||||
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@ -52,10 +52,10 @@
|
|||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="Register">
|
||||
<MemberSignature Language="C#" Value="public static void Register (Microsoft.ML.Data.DataViewType dataViewType, Type type, System.Collections.Generic.IEnumerable<Attribute> typeAttributes);" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<MemberSignature Language="C#" Value="public static void Register (Microsoft.ML.Data.DataViewType dataViewType, Type type, System.Collections.Generic.IEnumerable<Attribute> typeAttributes);" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public static hidebysig void Register(class Microsoft.ML.Data.DataViewType dataViewType, class System.Type type, class System.Collections.Generic.IEnumerable`1<class System.Attribute> typeAttributes) cil managed" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Data.DataViewTypeManager.Register(Microsoft.ML.Data.DataViewType,System.Type,System.Collections.Generic.IEnumerable{System.Attribute})" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Sub Register (dataViewType As DataViewType, type As Type, typeAttributes As IEnumerable(Of Attribute))" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Sub Register (dataViewType As DataViewType, type As Type, typeAttributes As IEnumerable(Of Attribute))" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<MemberSignature Language="F#" Value="static member Register : Microsoft.ML.Data.DataViewType * Type * seq<Attribute> -> unit" Usage="Microsoft.ML.Data.DataViewTypeManager.Register (dataViewType, type, typeAttributes)" />
|
||||
<MemberSignature Language="C#" Value="public static void Register (Microsoft.ML.Data.DataViewType dataViewType, Type type, System.Collections.Generic.IEnumerable<Attribute> typeAttributes = default);" FrameworkAlternate="ml-dotnet-1.1.0;ml-dotnet-1.2.0;ml-dotnet-1.3.1" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Shared Sub Register (dataViewType As DataViewType, type As Type, Optional typeAttributes As IEnumerable(Of Attribute) = Nothing)" FrameworkAlternate="ml-dotnet-1.1.0;ml-dotnet-1.2.0;ml-dotnet-1.3.1" />
|
||||
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@ -65,7 +65,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[System.Obsolete("This API is deprecated, please use the new form of Register which takes in a single DataViewTypeAttribute instead.", false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Obsolete("This API is deprecated, please use the new form of Register which takes in a single DataViewTypeAttribute instead.", false)>]</AttributeName>
|
||||
</Attribute>
|
||||
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@ -83,8 +83,8 @@
|
|||
<Parameter Name="typeAttributes" Type="System.Collections.Generic.IEnumerable<System.Attribute>" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="type">Native type in C#.</param>
|
||||
<param name="dataViewType">The corresponding type of <paramref name="type" /> in ML.NET's type system.</param>
|
||||
<param name="type">Native type in C#.</param>
|
||||
<param name="typeAttributes">The <see cref="T:System.Attribute" />s attached to <paramref name="type" />.</param>
|
||||
<summary>
|
||||
This function tells that <paramref name="dataViewType" /> should be representation of data in <paramref name="type" /> in
|
||||
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|
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@ -146,7 +146,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="For a key column, this defines the range of values", ShortName="key")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")>]</AttributeName>
|
||||
</Attribute>
|
||||
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@ -212,7 +212,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Source index range(s) of the column", ShortName="src")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Source index range(s) of the column", ShortName="src")>]</AttributeName>
|
||||
</Attribute>
|
||||
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@ -58,7 +58,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)>]</AttributeName>
|
||||
</Attribute>
|
||||
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@ -61,10 +61,10 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Parameters>
|
||||
<Parameter Name="providerFactory" Type="System.Data.Common.DbProviderFactory" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="connectionString" Type="System.String" Index="1" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="commandText" Type="System.String" Index="2" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="commandTimeoutInSeconds" Type="System.Int32" Index="3" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="providerFactory" Type="System.Data.Common.DbProviderFactory" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<Parameter Name="connectionString" Type="System.String" Index="1" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<Parameter Name="commandText" Type="System.String" Index="2" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<Parameter Name="commandTimeoutInSeconds" Type="System.Int32" Index="3" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="providerFactory">The factory used to create the <see cref="T:System.Data.Common.DbConnection" />..</param>
|
||||
|
|
|
|||
|
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@ -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:Microsoft.ML.Data.MLImage> |
|
||||
| Output column data type | <xref:System.Drawing.Bitmap> |
|
||||
| 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:Microsoft.ML.Data.MLImage> implementation.
|
||||
The images to load need to be in the formats supported by <xref:System.Drawing.Bitmap>.
|
||||
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>
|
||||
|
||||
|
|
|
|||
|
|
@ -1,293 +0,0 @@
|
|||
<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>
|
||||
|
|
@ -1,87 +0,0 @@
|
|||
<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>
|
||||
|
|
@ -1,9 +1,9 @@
|
|||
<Type Name="PredictionTransformerBase<TModel>" FullName="Microsoft.ML.Data.PredictionTransformerBase<TModel>">
|
||||
<TypeSignature Language="C#" Value="public abstract class PredictionTransformerBase<TModel> : IDisposable, Microsoft.ML.IPredictionTransformer<TModel>, Microsoft.ML.ITransformer where TModel : class" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract beforefieldinit PredictionTransformerBase`1<class TModel> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.IPredictionTransformer`1<!TModel>, class Microsoft.ML.ITransformer, class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="C#" Value="public abstract class PredictionTransformerBase<TModel> : IDisposable, Microsoft.ML.IPredictionTransformer<TModel>, Microsoft.ML.ITransformer where TModel : class" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract beforefieldinit PredictionTransformerBase`1<class TModel> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.IPredictionTransformer`1<!TModel>, class Microsoft.ML.ITransformer, class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Data.PredictionTransformerBase`1" />
|
||||
<TypeSignature Language="VB.NET" Value="Public MustInherit Class PredictionTransformerBase(Of TModel)
Implements IDisposable, IPredictionTransformer(Of TModel), ITransformer" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="F#" Value="type PredictionTransformerBase<'Model (requires 'Model : null)> = class
 interface IPredictionTransformer<'Model (requires 'Model : null)>
 interface ITransformer
 interface ICanSaveModel
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public MustInherit Class PredictionTransformerBase(Of TModel)
Implements IDisposable, IPredictionTransformer(Of TModel), ITransformer" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="F#" Value="type PredictionTransformerBase<'Model (requires 'Model : null)> = class
 interface IPredictionTransformer<'Model (requires 'Model : null)>
 interface ITransformer
 interface ICanSaveModel
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="C#" Value="public abstract class PredictionTransformerBase<TModel> : Microsoft.ML.IPredictionTransformer<TModel>, Microsoft.ML.ITransformer where TModel : class" 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" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi abstract beforefieldinit PredictionTransformerBase`1<class TModel> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.IPredictionTransformer`1<!TModel>, class Microsoft.ML.ITransformer" 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" />
|
||||
<TypeSignature Language="VB.NET" Value="Public MustInherit Class PredictionTransformerBase(Of TModel)
Implements IPredictionTransformer(Of TModel), ITransformer" 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" />
|
||||
|
|
@ -32,7 +32,7 @@
|
|||
<Interface>
|
||||
<InterfaceName>Microsoft.ML.ITransformer</InterfaceName>
|
||||
</Interface>
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<InterfaceName>System.IDisposable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
</Parameters>
|
||||
<Docs>
|
||||
<param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog" /> catalog.</param>
|
||||
<param name="numberOfRows">The number of rows from the sample to be used for determining the number of features.</param>
|
||||
<param name="inputSize">The number of features in the Features column. If 0 is specified, the
|
||||
loader will determine it by looking at the file sample given in <paramref name="dataSample" />.</param>
|
||||
<param name="numberOfRows">The number of rows from the sample to be used for determining the number of features.</param>
|
||||
<param name="zeroBased">If the file contains zero-based indices, this parameter should be set to true. If they are one-based
|
||||
it should be set to false.</param>
|
||||
<param name="dataSample">A data sample to be used for determining the number of features in the Features column.</param>
|
||||
|
|
@ -112,11 +112,11 @@
|
|||
<Docs>
|
||||
<param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog" /> catalog.</param>
|
||||
<param name="path">The path to the file.</param>
|
||||
<param name="numberOfRows">The number of rows from the sample to be used for determining the number of features.</param>
|
||||
<param name="inputSize">The number of features in the Features column. If 0 is specified, the
|
||||
loader will determine it by looking at the file given in <paramref name="path" />.</param>
|
||||
<param name="zeroBased">If the file contains zero-based indices, this parameter should be set to true. If they are one-based
|
||||
it should be set to false.</param>
|
||||
<param name="numberOfRows">The number of rows from the sample to be used for determining the number of features.</param>
|
||||
<summary>
|
||||
Load a <see cref="T:Microsoft.ML.IDataView" /> from a text file using <see cref="T:Microsoft.ML.Data.SvmLightLoader" />.
|
||||
</summary>
|
||||
|
|
|
|||
|
|
@ -156,7 +156,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="For a key column, this defines the range of values", ShortName="key")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="For a key column, this defines the range of values", ShortName="key")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -214,7 +214,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Source index range(s) of the column", ShortName="src")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Source index range(s) of the column", ShortName="src")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -46,7 +46,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Whether the input may include double-quoted values. This parameter is used to distinguish separator characters in an input value from actual separators. When true, separators within double quotes are treated as part of the input value. When false, all separators, even those within quotes, are treated as delimiting a new column.", ShortName="quote")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Whether the input may include double-quoted values. This parameter is used to distinguish separator characters in an input value from actual separators. When true, separators within double quotes are treated as part of the input value. When false, all separators, even those within quotes, are treated as delimiting a new column.", ShortName="quote")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -116,7 +116,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Column groups. Each group is specified as name:type:numeric-ranges, eg, col=Features:R4:1-17,26,35-40", Name="Column", ShortName="col", SortOrder=1)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -147,7 +147,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Character symbol used to separate the integer part from the fractional part of a number written in decimal form.", Name="Decimal Marker", ShortName="decimal")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Character symbol used to separate the integer part from the fractional part of a number written in decimal form.", Name="Decimal Marker", ShortName="decimal")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -174,7 +174,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Character to use to escape quotes inside quoted fields. It can't be a character used as separator.", ShortName="escapechar")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Character to use to escape quotes inside quoted fields. It can't be a character used as separator.", ShortName="escapechar")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -310,7 +310,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="If true, empty float fields will be loaded as NaN. If false, they'll be loaded as 0. Default is false.", ShortName="missingrealnan")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="If true, empty float fields will be loaded as NaN. If false, they'll be loaded as 0. Default is false.", ShortName="missingrealnan")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -340,7 +340,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Escape new line characters inside a quoted field? If AllowQuoting is false, this argument is ignored.", Hide=true, ShortName="multilines")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Escape new line characters inside a quoted field? If AllowQuoting is false, this argument is ignored.", Hide=true, ShortName="multilines")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -1,9 +1,9 @@
|
|||
<Type Name="TransformerChain<TLastTransformer>" FullName="Microsoft.ML.Data.TransformerChain<TLastTransformer>">
|
||||
<TypeSignature Language="C#" Value="public sealed class TransformerChain<TLastTransformer> : IDisposable, Microsoft.ML.ITransformer, System.Collections.Generic.IEnumerable<Microsoft.ML.ITransformer> where TLastTransformer : class, ITransformer" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TransformerChain`1<class (class Microsoft.ML.ITransformer) TLastTransformer> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.ITransformer, class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.ITransformer>, class System.Collections.IEnumerable, class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class TransformerChain<TLastTransformer> : IDisposable, Microsoft.ML.ITransformer, System.Collections.Generic.IEnumerable<Microsoft.ML.ITransformer> where TLastTransformer : class, ITransformer" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TransformerChain`1<class (class Microsoft.ML.ITransformer) TLastTransformer> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.ITransformer, class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.ITransformer>, class System.Collections.IEnumerable, class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Data.TransformerChain`1" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TransformerChain(Of TLastTransformer)
Implements IDisposable, IEnumerable(Of ITransformer), ITransformer" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="F#" Value="type TransformerChain<'LastTransformer (requires 'LastTransformer : null and 'LastTransformer :> ITransformer)> = class
 interface ITransformer
 interface ICanSaveModel
 interface seq<ITransformer>
 interface IEnumerable
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TransformerChain(Of TLastTransformer)
Implements IDisposable, IEnumerable(Of ITransformer), ITransformer" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="F#" Value="type TransformerChain<'LastTransformer (requires 'LastTransformer : null and 'LastTransformer :> ITransformer)> = class
 interface ITransformer
 interface ICanSaveModel
 interface seq<ITransformer>
 interface IEnumerable
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class TransformerChain<TLastTransformer> : Microsoft.ML.ITransformer, System.Collections.Generic.IEnumerable<Microsoft.ML.ITransformer> where TLastTransformer : class, ITransformer" 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" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TransformerChain`1<class (class Microsoft.ML.ITransformer) TLastTransformer> extends System.Object implements class Microsoft.ML.ICanSaveModel, class Microsoft.ML.ITransformer, class System.Collections.Generic.IEnumerable`1<class Microsoft.ML.ITransformer>, class System.Collections.IEnumerable" 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" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TransformerChain(Of TLastTransformer)
Implements IEnumerable(Of ITransformer), ITransformer" 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" />
|
||||
|
|
@ -36,7 +36,7 @@
|
|||
<Interface>
|
||||
<InterfaceName>System.Collections.IEnumerable</InterfaceName>
|
||||
</Interface>
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<InterfaceName>System.IDisposable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
|
|
@ -236,32 +236,6 @@
|
|||
<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-2.0.0" />
|
||||
<Parameter Name="scope" Type="Microsoft.ML.Data.TransformerScope" Index="1" FrameworkAlternate="ml-dotnet-2.0.0" />
|
||||
</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" />
|
||||
|
|
@ -408,31 +382,5 @@
|
|||
<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-2.0.0" />
|
||||
<Parameter Name="scope" Type="Microsoft.ML.Data.TransformerScope" Index="1" FrameworkAlternate="ml-dotnet-2.0.0" />
|
||||
</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 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.
|
||||
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.
|
||||
</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 library will not calculate the root cause.
|
||||
Point with the anomaly dimension must exist in the slice list at the anomaly timestamp, or the libary 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 invoked when the period of the series is greater than 0.
|
||||
The Deseasonality modes of SrCnn models. The de-seasonality mode is envoked when the period of the series is greater than 0.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
|
|
|
|||
|
|
@ -47,7 +47,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Option for using best regression step trees", ShortName="bsr")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Option for using best regression step trees", ShortName="bsr")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -221,7 +221,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="The learning rate", ShortName="lr", SortOrder=4)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -260,7 +260,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Number of post-bracket line search steps", ShortName="lssteps")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Number of post-bracket line search steps", ShortName="lssteps")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -318,7 +318,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Minimum line search step size", ShortName="minstep")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum line search step size", ShortName="minstep")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -349,7 +349,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)", ShortName="oa")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Optimization algorithm to be used (GradientDescent, AcceleratedGradientDescent)", ShortName="oa")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -445,7 +445,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Training starts from random ordering (determined by /r1)", Hide=true, ShortName="rs")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Training starts from random ordering (determined by /r1)", Hide=true, ShortName="rs")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -515,7 +515,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Should we use line search for a step size", ShortName="ls")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Should we use line search for a step size", ShortName="ls")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -546,7 +546,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Use window and tolerance for pruning", ShortName="prtol")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Use window and tolerance for pruning", ShortName="prtol")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -48,7 +48,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Shuffle the labels on every iteration. Useful probably only if using this tree as a tree leaf featurizer for multiclass.")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Shuffle the labels on every iteration. Useful probably only if using this tree as a tree leaf featurizer for multiclass.")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,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-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<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="Option for using derivatives optimized for unbalanced sets", ShortName="us")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Option for using derivatives optimized for unbalanced sets", ShortName="us")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.Options" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -63,7 +63,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Comma-separated list of gains associated to each relevance label.", ShortName="gains")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Comma-separated list of gains associated to each relevance label.", ShortName="gains")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -179,7 +179,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Train DCG instead of NDCG", ShortName="dcg")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Train DCG instead of NDCG", ShortName="dcg")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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.RankingCatalog.RankingTrainers,System.String,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer.Options" />
|
||||
<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)" />
|
||||
</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,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -85,7 +85,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Index parameter for the Tweedie distribution, in the range [1, 2]. 1 is Poisson loss, 2 is gamma loss, and intermediate values are compound Poisson loss.")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Index parameter for the Tweedie distribution, in the range [1, 2]. 1 is Poisson loss, 2 is gamma loss, and intermediate values are compound Poisson loss.")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTreeTweedie(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer.Options" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -53,7 +53,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Should we use derivatives optimized for unbalanced sets", ShortName="us")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Should we use derivatives optimized for unbalanced sets", ShortName="us")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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,System.String,System.String,System.String,System.Int32,System.Int32,System.Double)" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.GamBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamBinaryTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Double)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -40,9 +40,9 @@
|
|||
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)]
|
||||
]]></format>
|
||||
</remarks>
|
||||
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|
||||
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|
||||
<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)" />
|
||||
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|
||||
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|
||||
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|
||||
|
|
|
|||
|
|
@ -65,7 +65,7 @@
|
|||
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||||
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|
||||
|
|
@ -123,7 +123,7 @@
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|||
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|
|
@ -154,7 +154,7 @@
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||||
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|
|
@ -185,7 +185,7 @@
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|||
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|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Tree fitting gain confidence requirement (should be in the range [0,1) ).", ShortName="gainconf")>]</AttributeName>
|
||||
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|
||||
|
|
@ -247,7 +247,7 @@
|
|||
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The learning rate", ShortName="lr", SortOrder=4)>]</AttributeName>
|
||||
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|
||||
|
|
@ -286,7 +286,7 @@
|
|||
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||||
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")]</AttributeName>
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")>]</AttributeName>
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||||
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||||
|
|
@ -344,7 +344,7 @@
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|||
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum number of training instances required to form a partition", ShortName="mi", SortOrder=3)]</AttributeName>
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum number of training instances required to form a partition", ShortName="mi", SortOrder=3)>]</AttributeName>
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||||
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|
||||
|
|
@ -383,7 +383,7 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
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||||
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Total number of iterations over all features", ShortName="iter", SortOrder=1)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Total number of iterations over all features", ShortName="iter", SortOrder=1)>]</AttributeName>
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||||
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|
||||
|
|
@ -422,7 +422,7 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")]</AttributeName>
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")>]</AttributeName>
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||||
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||||
|
|
@ -453,7 +453,7 @@
|
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<AssemblyVersion>1.0.0.0</AssemblyVersion>
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the random number generator", ShortName="r1")]</AttributeName>
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the random number generator", ShortName="r1")>]</AttributeName>
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||||
|
|
|
|||
|
|
@ -132,7 +132,7 @@
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<AssemblyVersion>1.0.0.0</AssemblyVersion>
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Bias for calculating gradient for each feature bin for a categorical feature.", ShortName="bias")]</AttributeName>
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Bias for calculating gradient for each feature bin for a categorical feature.", ShortName="bias")>]</AttributeName>
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||||
</Attribute>
|
||||
|
|
@ -163,7 +163,7 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.", ShortName="bundle")]</AttributeName>
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Bundle low population bins. Bundle.None(0): no bundling, Bundle.AggregateLowPopulation(1): Bundle low population, Bundle.Adjacent(2): Neighbor low population bundle.", ShortName="bundle")>]</AttributeName>
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|
||||
|
|
@ -194,7 +194,7 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to do split based on multiple categorical feature values.", ShortName="cat")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to do split based on multiple categorical feature values.", ShortName="cat")>]</AttributeName>
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|
||||
|
|
@ -225,7 +225,7 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Compress the tree Ensemble", Hide=true, ShortName="cmp")]</AttributeName>
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Compress the tree Ensemble", Hide=true, ShortName="cmp")>]</AttributeName>
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||||
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|
||||
|
|
@ -260,7 +260,7 @@
|
|||
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing the transpose", ShortName="dt")>]</AttributeName>
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||||
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|
||||
|
|
@ -291,7 +291,7 @@
|
|||
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<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The entropy (regularization) coefficient between 0 and 1", ShortName="e")>]</AttributeName>
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||||
</Attribute>
|
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|
|
@ -349,7 +349,7 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
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||||
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The feature first use penalty coefficient", ShortName="ffup")]</AttributeName>
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|
|
@ -380,7 +380,7 @@
|
|||
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||||
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|
|
@ -466,7 +466,7 @@
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|
|
@ -497,7 +497,7 @@
|
|||
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<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the active feature selection", Hide=true, ShortName="r3")]</AttributeName>
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||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the active feature selection", Hide=true, ShortName="r3")>]</AttributeName>
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|
@ -532,7 +532,7 @@
|
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@ -567,7 +567,7 @@
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@ -598,7 +598,7 @@
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|
||||
<AttributeName Language="C#">[Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum number of distinct values (bins) per feature", ShortName="mb")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -629,7 +629,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Maximum categorical split groups to consider when splitting on a categorical feature. Split groups are a collection of split points. This is used to reduce overfitting when there many categorical features.", ShortName="mcg")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum categorical split groups to consider when splitting on a categorical feature. Split groups are a collection of split points. This is used to reduce overfitting when there many categorical features.", ShortName="mcg")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -660,7 +660,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Maximum categorical split points to consider when splitting on a categorical feature.", ShortName="maxcat")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Maximum categorical split points to consider when splitting on a categorical feature.", ShortName="maxcat")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -679,33 +679,6 @@
|
|||
<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-2.0.0">
|
||||
<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" />
|
||||
|
|
@ -718,7 +691,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="The minimal number of examples allowed in a leaf of a regression tree, out of the subsampled data", ShortName="mil", SortOrder=3)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The minimal number of examples allowed in a leaf of a regression tree, out of the subsampled data", ShortName="mil", SortOrder=3)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -757,7 +730,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Minimum categorical example percentage in a bin to consider for a split.", ShortName="mdop")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum categorical example percentage in a bin to consider for a split.", ShortName="mdop")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -788,7 +761,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Minimum categorical example count in a bin to consider for a split.", ShortName="mdo")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Minimum categorical example count in a bin to consider for a split.", ShortName="mdo")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -819,7 +792,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="The max number of leaves in each regression tree", ShortName="nl", SortOrder=2)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The max number of leaves in each regression tree", ShortName="nl", SortOrder=2)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -858,7 +831,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="The number of threads to use", NullName="<Auto>", ShortName="t")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The number of threads to use", NullName="<Auto>", ShortName="t")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -889,7 +862,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Total number of decision trees to create in the ensemble", ShortName="iter", SortOrder=1)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Total number of decision trees to create in the ensemble", ShortName="iter", SortOrder=1)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -928,7 +901,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="The seed of the random number generator", ShortName="r1")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="The seed of the random number generator", ShortName="r1")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -1013,7 +986,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Sparsity level needed to use sparse feature representation", ShortName="sp")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Sparsity level needed to use sparse feature representation", ShortName="sp")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -1044,7 +1017,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Calculate metric values for train/valid/test every k rounds", ShortName="tf")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Calculate metric values for train/valid/test every k rounds", ShortName="tf")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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;ml-dotnet-2.0.0">
|
||||
<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">
|
||||
<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">
|
||||
|
|
|
|||
|
|
@ -54,7 +54,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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>
|
||||
|
|
|
|||
|
|
@ -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">
|
||||
|
|
|
|||
|
|
@ -166,7 +166,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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>
|
||||
|
|
@ -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;ml-dotnet-2.0.0">
|
||||
<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 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;ml-dotnet-2.0.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet;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,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Single,System.Boolean,System.Single,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -132,7 +132,7 @@
|
|||
</ReturnValue>
|
||||
<Docs>
|
||||
<summary>
|
||||
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
|
||||
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
|
||||
</summary>
|
||||
<value>To be added.</value>
|
||||
<remarks>To be added.</remarks>
|
||||
|
|
|
|||
|
|
@ -48,7 +48,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Extra columns to use for feature vectors. The i-th specified string denotes the column containing features form the (i+1)-th field. Note that the first field is specified by "feat" instead of "exfeat".", ShortName="exfeat", SortOrder=7)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Extra columns to use for feature vectors. The i-th specified string denotes the column containing features form the (i+1)-th field. Note that the first field is specified by "feat" instead of "exfeat".", ShortName="exfeat", SortOrder=7)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -72,10 +72,10 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String[],System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -1,9 +1,9 @@
|
|||
<Type Name="ITrainerEstimator<TTransformer,TModel>" FullName="Microsoft.ML.Trainers.ITrainerEstimator<TTransformer,TModel>">
|
||||
<TypeSignature Language="C#" Value="public interface ITrainerEstimator<out TTransformer,out TModel> : Microsoft.ML.IEstimator<out TTransformer> where TTransformer : IPredictionTransformer<out TModel> where TModel : class" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public interface auto ansi abstract ITrainerEstimator`2<(class Microsoft.ML.IPredictionTransformer`1<!TModel>) + TTransformer, class + TModel> implements class Microsoft.ML.IEstimator`1<!TTransformer>" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="C#" Value="public interface ITrainerEstimator<out TTransformer,out TModel> : Microsoft.ML.IEstimator<out TTransformer> where TTransformer : IPredictionTransformer<out TModel> where TModel : class" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public interface auto ansi abstract ITrainerEstimator`2<(class Microsoft.ML.IPredictionTransformer`1<!TModel>) + TTransformer, class + TModel> implements class Microsoft.ML.IEstimator`1<!TTransformer>" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Trainers.ITrainerEstimator`2" />
|
||||
<TypeSignature Language="VB.NET" Value="Public Interface ITrainerEstimator(Of Out TTransformer, Out TModel)
Implements IEstimator(Of Out TTransformer)" />
|
||||
<TypeSignature Language="F#" Value="type ITrainerEstimator<'ransformer, 'Model (requires 'ransformer :> IPredictionTransformer<'Model> and 'Model : null)> = interface
 interface IEstimator<'ransformer (requires 'ransformer :> IPredictionTransformer<'Model>)>" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="F#" Value="type ITrainerEstimator<'ransformer, 'Model (requires 'ransformer :> IPredictionTransformer<'Model> and 'Model : null)> = interface
 interface IEstimator<'ransformer (requires 'ransformer :> IPredictionTransformer<'Model>)>" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="C#" Value="public interface ITrainerEstimator<out TTransformer,out TModel> : Microsoft.ML.IEstimator<out TTransformer> where TTransformer : ISingleFeaturePredictionTransformer<out TModel> where TModel : class" FrameworkAlternate="ml-dotnet-1.0.0;ml-dotnet-1.1.0;ml-dotnet-1.2.0;ml-dotnet-1.3.1" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public interface auto ansi abstract ITrainerEstimator`2<(class Microsoft.ML.ISingleFeaturePredictionTransformer`1<!TModel>) + TTransformer, class + TModel> implements class Microsoft.ML.IEstimator`1<!TTransformer>" FrameworkAlternate="ml-dotnet-1.0.0;ml-dotnet-1.1.0;ml-dotnet-1.2.0;ml-dotnet-1.3.1" />
|
||||
<TypeSignature Language="F#" Value="type ITrainerEstimator<'ransformer, 'Model (requires 'ransformer :> ISingleFeaturePredictionTransformer<'Model> and 'Model : null)> = interface
 interface IEstimator<'ransformer (requires 'ransformer :> ISingleFeaturePredictionTransformer<'Model>)>" FrameworkAlternate="ml-dotnet-1.0.0;ml-dotnet-1.1.0;ml-dotnet-1.2.0;ml-dotnet-1.3.1" />
|
||||
|
|
@ -44,7 +44,7 @@
|
|||
<MemberSignature Language="ILAsm" Value=".property instance class Microsoft.ML.TrainerInfo Info" />
|
||||
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Trainers.ITrainerEstimator`2.Info" />
|
||||
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property Info As TrainerInfo" />
|
||||
<MemberSignature Language="F#" Value="member this.Info : Microsoft.ML.TrainerInfo" Usage="Microsoft.ML.Trainers.ITrainerEstimator<'ransformer, 'Model (requires 'ransformer :> Microsoft.ML.IPredictionTransformer<'Model> and 'Model : null)>.Info" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<MemberSignature Language="F#" Value="member this.Info : Microsoft.ML.TrainerInfo" Usage="Microsoft.ML.Trainers.ITrainerEstimator<'ransformer, 'Model (requires 'ransformer :> Microsoft.ML.IPredictionTransformer<'Model> and 'Model : null)>.Info" FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<MemberSignature Language="F#" Value="member this.Info : Microsoft.ML.TrainerInfo" Usage="Microsoft.ML.Trainers.ITrainerEstimator<'ransformer, 'Model (requires 'ransformer :> Microsoft.ML.ISingleFeaturePredictionTransformer<'Model> and 'Model : null)>.Info" FrameworkAlternate="ml-dotnet-1.0.0;ml-dotnet-1.1.0;ml-dotnet-1.2.0;ml-dotnet-1.3.1" />
|
||||
<MemberType>Property</MemberType>
|
||||
<AssemblyInfo>
|
||||
|
|
|
|||
|
|
@ -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,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options" />
|
||||
<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)" />
|
||||
</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,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options" />
|
||||
<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)" />
|
||||
</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,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -158,7 +158,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Init weights diameter", ShortName="initwts, InitWtsDiameter", SortOrder=140)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Init weights diameter", ShortName="initwts, InitWtsDiameter", SortOrder=140)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -51,8 +51,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LdSvmTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Boolean)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LdSvmTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Info">
|
||||
|
|
|
|||
|
|
@ -50,8 +50,8 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -107,9 +107,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<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)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -34,7 +34,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[System.Obsolete("This API is deprecated, please use GetFeatureHistogramLong() which returns _featureHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Obsolete("This API is deprecated, please use GetFeatureHistogramLong() which returns _featureHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
@ -86,7 +86,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[System.Obsolete("This API is deprecated, please use GetLabelHistogramLong() which returns _labelHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Obsolete("This API is deprecated, please use GetLabelHistogramLong() which returns _labelHistogram with type IReadOnlyList<long> to avoid overflow errors with large datasets.", true)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -48,7 +48,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Whether to calculate per parameter significance statistics", ShortName="sig")]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Whether to calculate per parameter significance statistics", ShortName="sig")>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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,System.String,System.String,System.String)" />
|
||||
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.Ols(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OlsTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.OlsTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.Ols(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String)" />
|
||||
</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,System.String,System.String,Microsoft.ML.Trainers.IRegressionLoss,System.Single,System.Boolean,System.Single,System.Int32)" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options" />
|
||||
<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)" />
|
||||
</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,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})" />
|
||||
<altmember cref="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer.Options" />
|
||||
<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})" />
|
||||
</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,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options)" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options" />
|
||||
<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})" />
|
||||
</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,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})" />
|
||||
<altmember cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options" />
|
||||
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)" />
|
||||
</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,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})" />
|
||||
<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)" />
|
||||
</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,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)" />
|
||||
<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})" />
|
||||
</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,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.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options)" />
|
||||
</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,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)" />
|
||||
<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})" />
|
||||
</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,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)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members />
|
||||
</Type>
|
||||
|
|
|
|||
|
|
@ -51,7 +51,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Loss Function", ShortName="loss", SortOrder=50)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins, HelpText="Loss Function", ShortName="loss", SortOrder=50)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -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,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)" />
|
||||
<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)" />
|
||||
</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,System.String,System.String,System.Int32)" />
|
||||
<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)" />
|
||||
</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:Microsoft.ML.Data.MLImage> |
|
||||
| Output column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Input column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Output column data type | <xref:System.Drawing.Bitmap> |
|
||||
| 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:Microsoft.ML.Data.MLImage> |
|
||||
| Input column data type | <xref:System.Drawing.Bitmap> |
|
||||
| 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 cropping them or padding in the direction needed to fill up.
|
||||
Specifies how to resize the images: by croping 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:Microsoft.ML.Data.MLImage> |
|
||||
| Output column data type | <xref:Microsoft.ML.Data.MLImage> |
|
||||
| Input column data type | <xref:System.Drawing.Bitmap> |
|
||||
| Output column data type | <xref:System.Drawing.Bitmap> |
|
||||
| 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:Microsoft.ML.Data.MLImage> |
|
||||
| Output column data type | <xref:System.Drawing.Bitmap> |
|
||||
| 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 10.1.
|
||||
GPU device id to run on (e.g. 0,1,..). Null for CPU. Requires CUDA 9.1.
|
||||
</summary>
|
||||
<remarks>To be added.</remarks>
|
||||
</Docs>
|
||||
|
|
|
|||
|
|
@ -33,11 +33,11 @@
|
|||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<Attributes>
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.ComponentModel.EditorBrowsable(System.ComponentModel.EditorBrowsableState.Never)>]</AttributeName>
|
||||
</Attribute>
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Attribute FrameworkAlternate="ml-dotnet;ml-dotnet-1.4.0;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<AttributeName Language="C#">[System.Obsolete("Please specify sequence type when use OnnxSequenceType Attribute", false)]</AttributeName>
|
||||
<AttributeName Language="F#">[<System.Obsolete("Please specify sequence type when use OnnxSequenceType Attribute", false)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -1,9 +1,9 @@
|
|||
<Type Name="OnnxTransformer" FullName="Microsoft.ML.Transforms.Onnx.OnnxTransformer">
|
||||
<TypeSignature Language="C#" Value="public sealed class OnnxTransformer : Microsoft.ML.Data.RowToRowTransformerBase, IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit OnnxTransformer extends Microsoft.ML.Data.RowToRowTransformerBase implements class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class OnnxTransformer : Microsoft.ML.Data.RowToRowTransformerBase, IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit OnnxTransformer extends Microsoft.ML.Data.RowToRowTransformerBase implements class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Transforms.Onnx.OnnxTransformer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class OnnxTransformer
Inherits RowToRowTransformerBase
Implements IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="F#" Value="type OnnxTransformer = class
 inherit RowToRowTransformerBase
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class OnnxTransformer
Inherits RowToRowTransformerBase
Implements IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="F#" Value="type OnnxTransformer = class
 inherit RowToRowTransformerBase
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class OnnxTransformer : Microsoft.ML.Data.RowToRowTransformerBase" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit OnnxTransformer extends Microsoft.ML.Data.RowToRowTransformerBase" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class OnnxTransformer
Inherits RowToRowTransformerBase" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
|
|
@ -16,7 +16,7 @@
|
|||
<BaseTypeName>Microsoft.ML.Data.RowToRowTransformerBase</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<InterfaceName>System.IDisposable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
|
|
|
|||
|
|
@ -60,21 +60,21 @@
|
|||
</Docs>
|
||||
</Member>
|
||||
<Member MemberName="GetLdaDetails">
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.ModelParameters GetLdaDetails (int columnIndex);" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer/ModelParameters GetLdaDetails(int32 columnIndex) cil managed" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.GetLdaDetails(System.Int32)" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetLdaDetails (columnIndex As Integer) As LatentDirichletAllocationTransformer.ModelParameters" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<MemberSignature Language="F#" Value="member this.GetLdaDetails : int -> Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.ModelParameters" Usage="latentDirichletAllocationTransformer.GetLdaDetails columnIndex" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<MemberSignature Language="C#" Value="public Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.ModelParameters GetLdaDetails (int columnIndex);" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<MemberSignature Language="ILAsm" Value=".method public hidebysig instance class Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer/ModelParameters GetLdaDetails(int32 columnIndex) cil managed" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<MemberSignature Language="DocId" Value="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.GetLdaDetails(System.Int32)" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<MemberSignature Language="VB.NET" Value="Public Function GetLdaDetails (columnIndex As Integer) As LatentDirichletAllocationTransformer.ModelParameters" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<MemberSignature Language="F#" Value="member this.GetLdaDetails : int -> Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.ModelParameters" Usage="latentDirichletAllocationTransformer.GetLdaDetails columnIndex" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<MemberType>Method</MemberType>
|
||||
<AssemblyInfo>
|
||||
<AssemblyName>Microsoft.ML.Transforms</AssemblyName>
|
||||
<AssemblyVersion>1.0.0.0</AssemblyVersion>
|
||||
</AssemblyInfo>
|
||||
<ReturnValue>
|
||||
<ReturnType FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer+ModelParameters</ReturnType>
|
||||
<ReturnType FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer+ModelParameters</ReturnType>
|
||||
</ReturnValue>
|
||||
<Parameters>
|
||||
<Parameter Name="columnIndex" Type="System.Int32" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="columnIndex" Type="System.Int32" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="columnIndex">index of column options pair</param>
|
||||
|
|
|
|||
|
|
@ -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,Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options,System.String[])" />
|
||||
<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[])" />
|
||||
</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,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind)" />
|
||||
<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)" />
|
||||
</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">
|
||||
|
|
|
|||
|
|
@ -45,9 +45,9 @@
|
|||
</TypeParameter>
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="transformer" Type="Microsoft.ML.ITransformer" RefType="this" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="env" Type="Microsoft.ML.Runtime.IHostEnvironment" Index="1" FrameworkAlternate="ml-dotnet;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="options" Type="Microsoft.ML.PredictionEngineOptions" Index="2" FrameworkAlternate="ml-dotnet;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="transformer" Type="Microsoft.ML.ITransformer" RefType="this" Index="0" FrameworkAlternate="ml-dotnet;ml-dotnet-1.7.0" />
|
||||
<Parameter Name="env" Type="Microsoft.ML.Runtime.IHostEnvironment" Index="1" FrameworkAlternate="ml-dotnet;ml-dotnet-1.7.0" />
|
||||
<Parameter Name="options" Type="Microsoft.ML.PredictionEngineOptions" Index="2" FrameworkAlternate="ml-dotnet;ml-dotnet-1.7.0" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="TSrc">Class describing input schema to the model.</typeparam>
|
||||
|
|
|
|||
|
|
@ -41,9 +41,9 @@
|
|||
Check the See Also section for links to usage examples.
|
||||
]]></format>
|
||||
</remarks>
|
||||
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.DropColumns(Microsoft.ML.TransformsCatalog,System.String[])" />
|
||||
<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[])" />
|
||||
</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,Microsoft.ML.InputOutputColumnPair[],System.Int64)" />
|
||||
<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)" />
|
||||
</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(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)" />
|
||||
<altmember cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Trainers.ICalculateFeatureContribution},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,System.String,System.String,System.Int32,System.Int32)" />
|
||||
<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)" />
|
||||
</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,Microsoft.ML.InputOutputColumnPair[])" />
|
||||
<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[])" />
|
||||
</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,Microsoft.ML.InputOutputColumnPair[],System.Boolean)" />
|
||||
<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)" />
|
||||
</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,System.String,System.String)" />
|
||||
<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)" />
|
||||
</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,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)" />
|
||||
<altmember cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String,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,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)" />
|
||||
<altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],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,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)" />
|
||||
<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)" />
|
||||
</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 dictionary, the output is the zero vector.
|
||||
If a value is not found in the dictioray, the output is the zero vector.
|
||||
|
||||
- <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag> produces one vector such that each slot stores the number
|
||||
of occurrences of the corresponding value in the input vector.
|
||||
of occurances 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 vector [key](xref:Microsoft.ML.Data.KeyDataViewType) type, where each slot of the
|
||||
If the input column is a vector, the output contains a vectory [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 built dictionary, it is assigned the value zero.
|
||||
If a category is not found in the bulit 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,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)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -1,9 +1,9 @@
|
|||
<Type Name="TensorFlowModel" FullName="Microsoft.ML.Transforms.TensorFlowModel">
|
||||
<TypeSignature Language="C#" Value="public sealed class TensorFlowModel : IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TensorFlowModel extends System.Object implements class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class TensorFlowModel : IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TensorFlowModel extends System.Object implements class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Transforms.TensorFlowModel" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TensorFlowModel
Implements IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="F#" Value="type TensorFlowModel = class
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TensorFlowModel
Implements IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="F#" Value="type TensorFlowModel = class
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class TensorFlowModel" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TensorFlowModel extends System.Object" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TensorFlowModel" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
|
|
@ -16,7 +16,7 @@
|
|||
<BaseTypeName>System.Object</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<InterfaceName>System.IDisposable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
|
|
@ -173,8 +173,8 @@
|
|||
<Parameter Name="addBatchDimensionInput" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="inputColumnName"> The name of the model input. The data type is a vector of <see cref="T:System.Single" />.</param>
|
||||
<param name="outputColumnName">The name of the requested model output. The data type is a vector of <see cref="T:System.Single" /></param>
|
||||
<param name="inputColumnName"> The name of the model input. The data type is a vector of <see cref="T:System.Single" />.</param>
|
||||
<param name="addBatchDimensionInput">Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3].
|
||||
This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well.</param>
|
||||
<summary>
|
||||
|
|
@ -209,8 +209,8 @@
|
|||
<Parameter Name="addBatchDimensionInput" Type="System.Boolean" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<param name="inputColumnNames"> The names of the model inputs.</param>
|
||||
<param name="outputColumnNames">The names of the requested model outputs.</param>
|
||||
<param name="inputColumnNames"> The names of the model inputs.</param>
|
||||
<param name="addBatchDimensionInput">Add a batch dimension to the input e.g. input = [224, 224, 3] => [-1, 224, 224, 3].
|
||||
This parameter is used to deal with models that have unknown shape but the internal operators in the model require data to have batch dimension as well.</param>
|
||||
<summary>
|
||||
|
|
|
|||
|
|
@ -1,9 +1,9 @@
|
|||
<Type Name="TensorFlowTransformer" FullName="Microsoft.ML.Transforms.TensorFlowTransformer">
|
||||
<TypeSignature Language="C#" Value="public sealed class TensorFlowTransformer : Microsoft.ML.Data.RowToRowTransformerBase, IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TensorFlowTransformer extends Microsoft.ML.Data.RowToRowTransformerBase implements class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class TensorFlowTransformer : Microsoft.ML.Data.RowToRowTransformerBase, IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TensorFlowTransformer extends Microsoft.ML.Data.RowToRowTransformerBase implements class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Transforms.TensorFlowTransformer" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TensorFlowTransformer
Inherits RowToRowTransformerBase
Implements IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="F#" Value="type TensorFlowTransformer = class
 inherit RowToRowTransformerBase
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TensorFlowTransformer
Inherits RowToRowTransformerBase
Implements IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="F#" Value="type TensorFlowTransformer = class
 inherit RowToRowTransformerBase
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class TensorFlowTransformer : Microsoft.ML.Data.RowToRowTransformerBase" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit TensorFlowTransformer extends Microsoft.ML.Data.RowToRowTransformerBase" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class TensorFlowTransformer
Inherits RowToRowTransformerBase" FrameworkAlternate="ml-dotnet-1.2.0;ml-dotnet-1.3.1;ml-dotnet-1.4.0" />
|
||||
|
|
@ -16,7 +16,7 @@
|
|||
<BaseTypeName>Microsoft.ML.Data.RowToRowTransformerBase</BaseTypeName>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<InterfaceName>System.IDisposable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
|
|
|
|||
|
|
@ -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,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)" />
|
||||
<altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],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,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)" />
|
||||
<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)" />
|
||||
</Docs>
|
||||
<Members>
|
||||
<Member MemberName="Fit">
|
||||
|
|
|
|||
|
|
@ -1,9 +1,9 @@
|
|||
<Type Name="ImageClassificationModelParameters" FullName="Microsoft.ML.Vision.ImageClassificationModelParameters">
|
||||
<TypeSignature Language="C#" Value="public sealed class ImageClassificationModelParameters : Microsoft.ML.Trainers.ModelParametersBase<Microsoft.ML.Data.VBuffer<float>>, IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit ImageClassificationModelParameters extends Microsoft.ML.Trainers.ModelParametersBase`1<valuetype Microsoft.ML.Data.VBuffer`1<float32>> implements class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class ImageClassificationModelParameters : Microsoft.ML.Trainers.ModelParametersBase<Microsoft.ML.Data.VBuffer<float>>, IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit ImageClassificationModelParameters extends Microsoft.ML.Trainers.ModelParametersBase`1<valuetype Microsoft.ML.Data.VBuffer`1<float32>> implements class System.IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="DocId" Value="T:Microsoft.ML.Vision.ImageClassificationModelParameters" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class ImageClassificationModelParameters
Inherits ModelParametersBase(Of VBuffer(Of Single))
Implements IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="F#" Value="type ImageClassificationModelParameters = class
 inherit ModelParametersBase<VBuffer<single>>
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class ImageClassificationModelParameters
Inherits ModelParametersBase(Of VBuffer(Of Single))
Implements IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="F#" Value="type ImageClassificationModelParameters = class
 inherit ModelParametersBase<VBuffer<single>>
 interface IDisposable" FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0" />
|
||||
<TypeSignature Language="C#" Value="public sealed class ImageClassificationModelParameters : Microsoft.ML.Trainers.ModelParametersBase<Microsoft.ML.Data.VBuffer<float>>" FrameworkAlternate="ml-dotnet-1.4.0" />
|
||||
<TypeSignature Language="ILAsm" Value=".class public auto ansi sealed beforefieldinit ImageClassificationModelParameters extends Microsoft.ML.Trainers.ModelParametersBase`1<valuetype Microsoft.ML.Data.VBuffer`1<float32>>" FrameworkAlternate="ml-dotnet-1.4.0" />
|
||||
<TypeSignature Language="VB.NET" Value="Public NotInheritable Class ImageClassificationModelParameters
Inherits ModelParametersBase(Of VBuffer(Of Single))" FrameworkAlternate="ml-dotnet-1.4.0" />
|
||||
|
|
@ -19,7 +19,7 @@
|
|||
</BaseTypeArguments>
|
||||
</Base>
|
||||
<Interfaces>
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0;ml-dotnet-2.0.0">
|
||||
<Interface FrameworkAlternate="ml-dotnet;ml-dotnet-1.5.0;ml-dotnet-1.6.0;ml-dotnet-1.7.0">
|
||||
<InterfaceName>System.IDisposable</InterfaceName>
|
||||
</Interface>
|
||||
</Interfaces>
|
||||
|
|
|
|||
|
|
@ -479,7 +479,7 @@
|
|||
<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;ml-dotnet-2.0.0">
|
||||
<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="Validation fraction.", SortOrder=15)]</AttributeName>
|
||||
<AttributeName Language="F#">[<Microsoft.ML.CommandLine.Argument(Microsoft.ML.CommandLine.ArgumentType.AtMostOnce, HelpText="Validation fraction.", SortOrder=15)>]</AttributeName>
|
||||
</Attribute>
|
||||
|
|
|
|||
|
|
@ -42,8 +42,8 @@
|
|||
</TypeParameter>
|
||||
</TypeParameters>
|
||||
<Parameters>
|
||||
<Parameter Name="model" Type="Microsoft.ML.Data.AnomalyPredictionTransformer<TModel>" Index="0" FrameworkAlternate="ml-dotnet;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;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="threshold" Type="System.Single" Index="1" FrameworkAlternate="ml-dotnet;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;ml-dotnet-2.0.0" />
|
||||
<Parameter Name="model" Type="Microsoft.ML.Data.AnomalyPredictionTransformer<TModel>" Index="0" FrameworkAlternate="ml-dotnet;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" />
|
||||
<Parameter Name="threshold" Type="System.Single" Index="1" FrameworkAlternate="ml-dotnet;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" />
|
||||
</Parameters>
|
||||
<Docs>
|
||||
<typeparam name="TModel">To be added.</typeparam>
|
||||
|
|
|
|||
|
|
@ -84,9 +84,9 @@
|
|||
</Parameters>
|
||||
<Docs>
|
||||
<param name="data">The scored data.</param>
|
||||
<param name="scoreColumnName">The name of the score column in <paramref name="data" />.</param>
|
||||
<param name="labelColumnName">The name of the optional label column in <paramref name="data" />.
|
||||
If present, the <see cref="P:Microsoft.ML.Data.ClusteringMetrics.NormalizedMutualInformation" /> metric will be computed.</param>
|
||||
<param name="scoreColumnName">The name of the score column in <paramref name="data" />.</param>
|
||||
<param name="featureColumnName">The name of the optional features column in <paramref name="data" />.
|
||||
If present, the <see cref="P:Microsoft.ML.Data.ClusteringMetrics.DaviesBouldinIndex" /> metric will be computed.</param>
|
||||
<summary>
|
||||
|
|
|
|||
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