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CI Update (#148) 

Build.Reason:Manual by Natalie Kershaw
 Build.Url:https://apidrop.visualstudio.com/Content%20CI/_build/results?buildId=182431&view=results
 source_repo.branch:master
 source_repo.csvPath:bundlepackages/ml-dotnet
 source_repo.url:https://apidrop.visualstudio.com/binaries/_git/mrefconfig

Co-authored-by: VSC-Service-Account <vscavu@microsoft.com>
This commit is contained in:
Nat Kershaw (MSFT) 2020-12-18 14:54:15 -08:00 коммит произвёл GitHub
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Коммит 7f04f7c3dd
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6
dotnet/xml/FrameworksIndex/ml-dotnet-preview.xml
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@ -23,6 +23,7 @@
<Type Name="Microsoft.ML.OnnxExportExtensions" Id="T:Microsoft.ML.OnnxExportExtensions">
<Member Id="M:Microsoft.ML.OnnxExportExtensions.ConvertToOnnx(Microsoft.ML.ModelOperationsCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.Int32,System.IO.Stream)" />
<Member Id="M:Microsoft.ML.OnnxExportExtensions.ConvertToOnnx(Microsoft.ML.ModelOperationsCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.IO.Stream)" />
<Member Id="M:Microsoft.ML.OnnxExportExtensions.ConvertToOnnx(Microsoft.ML.ModelOperationsCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.IO.Stream,System.String[])" />
</Type>
<Type Name="Microsoft.ML.RecommendationCatalog" Id="T:Microsoft.ML.RecommendationCatalog">
<Member Id="M:Microsoft.ML.RecommendationCatalog.CrossValidate(Microsoft.ML.IDataView,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Int32,System.String,System.String,System.Nullable{System.Int32})" />
@ -179,11 +180,12 @@
</Type>
<Type Name="Microsoft.ML.AutoML.RankingExperiment" Id="T:Microsoft.ML.AutoML.RankingExperiment" />
<Type Name="Microsoft.ML.AutoML.RankingExperimentResultExtensions" Id="T:Microsoft.ML.AutoML.RankingExperimentResultExtensions">
<Member Id="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.CrossValidationRunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric)" />
<Member Id="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.RunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric)" />
<Member Id="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.CrossValidationRunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric,System.UInt32)" />
<Member Id="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.RunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric,System.UInt32)" />
</Type>
<Type Name="Microsoft.ML.AutoML.RankingExperimentSettings" Id="T:Microsoft.ML.AutoML.RankingExperimentSettings">
<Member Id="M:Microsoft.ML.AutoML.RankingExperimentSettings.#ctor" />
<Member Id="P:Microsoft.ML.AutoML.RankingExperimentSettings.OptimizationMetricTruncationLevel" />
<Member Id="P:Microsoft.ML.AutoML.RankingExperimentSettings.OptimizingMetric" />
<Member Id="P:Microsoft.ML.AutoML.RankingExperimentSettings.Trainers" />
</Type>

2
dotnet/xml/FrameworksIndex/ml-dotnet.xml
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@ -6,6 +6,7 @@
<Assembly Name="Microsoft.ML.CpuMath" Version="1.0.0.0" />
<Assembly Name="Microsoft.ML.Data" Version="1.0.0.0" />
<Assembly Name="Microsoft.ML.DataView" Version="1.0.0.0" />
<Assembly Name="Microsoft.ML" Version="1.0.0.0" />
<Assembly Name="Microsoft.ML.FastTree" Version="1.0.0.0" />
<Assembly Name="Microsoft.ML.ImageAnalytics" Version="1.0.0.0" />
<Assembly Name="Microsoft.ML.KMeansClustering" Version="1.0.0.0" />
@ -931,6 +932,7 @@
<Member Id="P:Microsoft.ML.Data.MulticlassClassificationMetrics.MicroAccuracy" />
<Member Id="P:Microsoft.ML.Data.MulticlassClassificationMetrics.PerClassLogLoss" />
<Member Id="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracy" />
<Member Id="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracyForAllK" />
<Member Id="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKPredictionCount" />
</Type>
<Type Name="Microsoft.ML.Data.MulticlassClassificationMetricsStatistics" Id="T:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics">

24
dotnet/xml/Microsoft.ML.AutoML/RankingExperimentResultExtensions.xml
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@ -20,11 +20,11 @@
</Docs>
<Members>
<Member MemberName="Best">
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt; Best (this System.Collections.Generic.IEnumerable&lt;Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt; results, Microsoft.ML.AutoML.RankingMetric metric = Microsoft.ML.AutoML.RankingMetric.Ndcg);" />
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.CrossValidationRunDetail`1&lt;class Microsoft.ML.Data.RankingMetrics&gt; Best(class System.Collections.Generic.IEnumerable`1&lt;class Microsoft.ML.AutoML.CrossValidationRunDetail`1&lt;class Microsoft.ML.Data.RankingMetrics&gt;&gt; results, valuetype Microsoft.ML.AutoML.RankingMetric metric) cil managed" />
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.CrossValidationRunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric)" />
<MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function Best (results As IEnumerable(Of CrossValidationRunDetail(Of RankingMetrics)), Optional metric As RankingMetric = Microsoft.ML.AutoML.RankingMetric.Ndcg) As CrossValidationRunDetail(Of RankingMetrics)" />
<MemberSignature Language="F#" Value="static member Best : seq&lt;Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt; * Microsoft.ML.AutoML.RankingMetric -&gt; Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;" Usage="Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best (results, metric)" />
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt; Best (this System.Collections.Generic.IEnumerable&lt;Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt; results, Microsoft.ML.AutoML.RankingMetric metric = Microsoft.ML.AutoML.RankingMetric.Ndcg, uint optimizationMetricTruncationLevel = 10);" />
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.CrossValidationRunDetail`1&lt;class Microsoft.ML.Data.RankingMetrics&gt; Best(class System.Collections.Generic.IEnumerable`1&lt;class Microsoft.ML.AutoML.CrossValidationRunDetail`1&lt;class Microsoft.ML.Data.RankingMetrics&gt;&gt; results, valuetype Microsoft.ML.AutoML.RankingMetric metric, unsigned int32 optimizationMetricTruncationLevel) cil managed" />
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.CrossValidationRunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric,System.UInt32)" />
<MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function Best (results As IEnumerable(Of CrossValidationRunDetail(Of RankingMetrics)), Optional metric As RankingMetric = Microsoft.ML.AutoML.RankingMetric.Ndcg, Optional optimizationMetricTruncationLevel As UInteger = 10) As CrossValidationRunDetail(Of RankingMetrics)" />
<MemberSignature Language="F#" Value="static member Best : seq&lt;Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt; * Microsoft.ML.AutoML.RankingMetric * uint32 -&gt; Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;" Usage="Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best (results, metric, optimizationMetricTruncationLevel)" />
<MemberType>Method</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
@ -36,10 +36,12 @@
<Parameters>
<Parameter Name="results" Type="System.Collections.Generic.IEnumerable&lt;Microsoft.ML.AutoML.CrossValidationRunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt;" RefType="this" />
<Parameter Name="metric" Type="Microsoft.ML.AutoML.RankingMetric" />
<Parameter Name="optimizationMetricTruncationLevel" Type="System.UInt32" />
</Parameters>
<Docs>
<param name="results">Enumeration of AutoML experiment cross validation run results.</param>
<param name="metric">Metric to consider when selecting the best run.</param>
<param name="optimizationMetricTruncationLevel">Maximum truncation level for computing (N)DCG. Defaults to 10.</param>
<summary>
Select the best run from an enumeration of experiment cross validation runs.
</summary>
@ -48,11 +50,11 @@
</Docs>
</Member>
<Member MemberName="Best">
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt; Best (this System.Collections.Generic.IEnumerable&lt;Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt; results, Microsoft.ML.AutoML.RankingMetric metric = Microsoft.ML.AutoML.RankingMetric.Ndcg);" />
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.RunDetail`1&lt;class Microsoft.ML.Data.RankingMetrics&gt; Best(class System.Collections.Generic.IEnumerable`1&lt;class Microsoft.ML.AutoML.RunDetail`1&lt;class Microsoft.ML.Data.RankingMetrics&gt;&gt; results, valuetype Microsoft.ML.AutoML.RankingMetric metric) cil managed" />
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.RunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric)" />
<MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function Best (results As IEnumerable(Of RunDetail(Of RankingMetrics)), Optional metric As RankingMetric = Microsoft.ML.AutoML.RankingMetric.Ndcg) As RunDetail(Of RankingMetrics)" />
<MemberSignature Language="F#" Value="static member Best : seq&lt;Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt; * Microsoft.ML.AutoML.RankingMetric -&gt; Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;" Usage="Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best (results, metric)" />
<MemberSignature Language="C#" Value="public static Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt; Best (this System.Collections.Generic.IEnumerable&lt;Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt; results, Microsoft.ML.AutoML.RankingMetric metric = Microsoft.ML.AutoML.RankingMetric.Ndcg, uint optimizationMetricTruncationLevel = 10);" />
<MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.AutoML.RunDetail`1&lt;class Microsoft.ML.Data.RankingMetrics&gt; Best(class System.Collections.Generic.IEnumerable`1&lt;class Microsoft.ML.AutoML.RunDetail`1&lt;class Microsoft.ML.Data.RankingMetrics&gt;&gt; results, valuetype Microsoft.ML.AutoML.RankingMetric metric, unsigned int32 optimizationMetricTruncationLevel) cil managed" />
<MemberSignature Language="DocId" Value="M:Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best(System.Collections.Generic.IEnumerable{Microsoft.ML.AutoML.RunDetail{Microsoft.ML.Data.RankingMetrics}},Microsoft.ML.AutoML.RankingMetric,System.UInt32)" />
<MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function Best (results As IEnumerable(Of RunDetail(Of RankingMetrics)), Optional metric As RankingMetric = Microsoft.ML.AutoML.RankingMetric.Ndcg, Optional optimizationMetricTruncationLevel As UInteger = 10) As RunDetail(Of RankingMetrics)" />
<MemberSignature Language="F#" Value="static member Best : seq&lt;Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt; * Microsoft.ML.AutoML.RankingMetric * uint32 -&gt; Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;" Usage="Microsoft.ML.AutoML.RankingExperimentResultExtensions.Best (results, metric, optimizationMetricTruncationLevel)" />
<MemberType>Method</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
@ -64,10 +66,12 @@
<Parameters>
<Parameter Name="results" Type="System.Collections.Generic.IEnumerable&lt;Microsoft.ML.AutoML.RunDetail&lt;Microsoft.ML.Data.RankingMetrics&gt;&gt;" RefType="this" />
<Parameter Name="metric" Type="Microsoft.ML.AutoML.RankingMetric" />
<Parameter Name="optimizationMetricTruncationLevel" Type="System.UInt32" />
</Parameters>
<Docs>
<param name="results">Enumeration of AutoML experiment run results.</param>
<param name="metric">Metric to consider when selecting the best run.</param>
<param name="optimizationMetricTruncationLevel">Maximum truncation level for computing (N)DCG. Defaults to 10.</param>
<summary>
Select the best run from an enumeration of experiment runs.
</summary>

24
dotnet/xml/Microsoft.ML.AutoML/RankingExperimentSettings.xml
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@ -33,6 +33,30 @@
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="OptimizationMetricTruncationLevel">
<MemberSignature Language="C#" Value="public uint OptimizationMetricTruncationLevel { get; set; }" />
<MemberSignature Language="ILAsm" Value=".property instance unsigned int32 OptimizationMetricTruncationLevel" />
<MemberSignature Language="DocId" Value="P:Microsoft.ML.AutoML.RankingExperimentSettings.OptimizationMetricTruncationLevel" />
<MemberSignature Language="VB.NET" Value="Public Property OptimizationMetricTruncationLevel As UInteger" />
<MemberSignature Language="F#" Value="member this.OptimizationMetricTruncationLevel : uint32 with get, set" Usage="Microsoft.ML.AutoML.RankingExperimentSettings.OptimizationMetricTruncationLevel" />
<MemberType>Property</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.AutoML</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>System.UInt32</ReturnType>
</ReturnValue>
<Docs>
<summary>
Maximum truncation level for computing (N)DCG
</summary>
<value>
The default value is 10.
</value>
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="OptimizingMetric">
<MemberSignature Language="C#" Value="public Microsoft.ML.AutoML.RankingMetric OptimizingMetric { get; set; }" />
<MemberSignature Language="ILAsm" Value=".property instance valuetype Microsoft.ML.AutoML.RankingMetric OptimizingMetric" />

29
dotnet/xml/Microsoft.ML.Data/MulticlassClassificationMetrics.xml
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@ -212,8 +212,31 @@
</ReturnValue>
<Docs>
<summary>
If <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKPredictionCount" /> is positive, this is the relative number of examples where
the true label is one of the top-k predicted labels by the predictor.
Convenience method for "TopKAccuracyForAllK[TopKPredictionCount - 1]". If <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKPredictionCount" /> is positive,
this is the relative number of examples where
the true label is one of the top K predicted labels by the predictor.
</summary>
<value>To be added.</value>
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="TopKAccuracyForAllK">
<MemberSignature Language="C#" Value="public System.Collections.Generic.IReadOnlyList&lt;double&gt; TopKAccuracyForAllK { get; }" />
<MemberSignature Language="ILAsm" Value=".property instance class System.Collections.Generic.IReadOnlyList`1&lt;float64&gt; TopKAccuracyForAllK" />
<MemberSignature Language="DocId" Value="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracyForAllK" />
<MemberSignature Language="VB.NET" Value="Public ReadOnly Property TopKAccuracyForAllK As IReadOnlyList(Of Double)" />
<MemberSignature Language="F#" Value="member this.TopKAccuracyForAllK : System.Collections.Generic.IReadOnlyList&lt;double&gt;" Usage="Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracyForAllK" />
<MemberType>Property</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.Data</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>System.Collections.Generic.IReadOnlyList&lt;System.Double&gt;</ReturnType>
</ReturnValue>
<Docs>
<summary>
Returns the top K accuracy for all K from 1 to the value of TopKPredictionCount.
</summary>
<value>To be added.</value>
<remarks>To be added.</remarks>
@ -235,7 +258,7 @@
</ReturnValue>
<Docs>
<summary>
If positive, this indicates the K in <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracy" />.
If positive, this indicates the K in <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracy" /> and <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracyForAllK" />.
</summary>
<value>To be added.</value>
<remarks>To be added.</remarks>

2
dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml
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@ -40,9 +40,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.Options" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32)" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.Options" />
</Docs>
<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml
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@ -40,9 +40,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fastforest.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32)" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastForest(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.Options" />
</Docs>
<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml
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@ -40,9 +40,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.Options" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.Options" />
</Docs>
<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml
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@ -40,9 +40,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer.Options" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RankingCatalog.RankingTrainers,System.String,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer.Options" />
</Docs>
<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml
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@ -40,9 +40,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-fasttree.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTree(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer.Options" />
</Docs>
<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml
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@ -48,9 +48,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer.Options" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTreeTweedie(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Double)" />
<altmember cref="M:Microsoft.ML.TreeExtensions.FastTreeTweedie(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer.Options" />
</Docs>
<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml
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@ -40,9 +40,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamBinaryTrainer.Options" />
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Double)" />
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FastTree.GamBinaryTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamBinaryTrainer.Options" />
</Docs>
<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml
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@ -40,9 +40,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-gam.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamRegressionTrainer.Options" />
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Double)" />
<altmember cref="M:Microsoft.ML.TreeExtensions.Gam(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.FastTree.GamRegressionTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.FastTree.GamRegressionTrainer.Options" />
</Docs>
<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml
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@ -41,8 +41,8 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
]]></format>
</remarks>
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer.Options)" />
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dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml
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@ -41,9 +41,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
]]></format>
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<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer.Options" />
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<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer.Options)" />
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dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml
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@ -41,9 +41,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer.Options" />
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<altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.RankingCatalog.RankingTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer.Options)" />
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2
dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml
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@ -41,9 +41,9 @@
[!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-lightgbm.md)]
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer.Options" />
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<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml
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@ -58,9 +58,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Single,System.Boolean,System.Single,System.Int32)" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options)" />
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2
dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml
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@ -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,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)" />
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<Members>
<Member MemberName="Fit">

2
dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml
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@ -66,9 +66,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)" />
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2
dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml
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@ -61,9 +61,9 @@
Check the See Also section for links to usage examples.
]]></format>
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<altmember cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options" />
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2
dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml
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@ -45,9 +45,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options" />
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2
dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml
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@ -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)" />
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<Members>
<Member MemberName="Info">

2
dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml
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@ -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)" />
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2
dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml
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@ -107,9 +107,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options" />
<altmember cref="M:Microsoft.ML.RecommendationCatalog.RecommendationTrainers.MatrixFactorization(System.String,System.String,System.String,System.Int32,System.Double,System.Int32)" />
<altmember cref="M:Microsoft.ML.RecommendationCatalog.RecommendationTrainers.MatrixFactorization(Microsoft.ML.Trainers.MatrixFactorizationTrainer.Options)" />
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2
dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml
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@ -45,9 +45,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.OlsTrainer.Options" />
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.Ols(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String)" />
<altmember cref="M:Microsoft.ML.MklComponentsCatalog.Ols(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OlsTrainer.Options)" />
<altmember cref="T:Microsoft.ML.Trainers.OlsTrainer.Options" />
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2
dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml
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@ -45,9 +45,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options" />
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<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options)" />
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2
dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml
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@ -60,9 +60,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer.Options" />
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<altmember cref="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)" />
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<Members>
<Member MemberName="Info">

2
dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml
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@ -44,9 +44,9 @@
[!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
]]></format>
</remarks>
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<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options)" />
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2
dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml
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@ -49,9 +49,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)" />
<altmember cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})" />
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2
dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml
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@ -72,12 +72,12 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
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<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})" />
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dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml
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@ -42,9 +42,9 @@
[!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
]]></format>
</remarks>
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2
dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml
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@ -49,9 +49,9 @@
Check the See Also section for links to usage examples.
]]></format>
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2
dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml
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@ -44,9 +44,9 @@
[!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
]]></format>
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2
dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml
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@ -40,9 +40,9 @@
[!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)]
]]></format>
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<Members />
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dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml
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@ -38,9 +38,9 @@
[!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)]
]]></format>
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2
dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml
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@ -51,9 +51,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="T:Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer.Options" />
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<Members>
<Member MemberName="Fit">

4
dotnet/xml/Microsoft.ML.Transforms.Onnx/OnnxScoringEstimator.xml
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@ -28,7 +28,7 @@
| 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> or <xref:System.Double> types |
| Output column data type | As specified by the ONNX model |
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.OnnxTransformer (always), either Microsoft.ML.OnnxRuntime 1.3.0 (for CPU processing) or Microsoft.ML.OnnxRuntime.Gpu 1.3.0 (for GPU processing if GPU is available) |
| Required NuGet in addition to Microsoft.ML | Microsoft.ML.OnnxTransformer (always), either Microsoft.ML.OnnxRuntime 1.6.0 (for CPU processing) or Microsoft.ML.OnnxRuntime.Gpu 1.6.0 (for GPU processing if GPU is available) |
| Exportable to ONNX | No |
To create this estimator use the following APIs:
@ -40,7 +40,7 @@
To run on a GPU, use the
NuGet package [Microsoft.ML.OnnxRuntime.Gpu](https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu/) instead of the Microsoft.ML.OnnxRuntime nuget (which is for CPU processing). Microsoft.ML.OnnxRuntime.Gpu
requires a [CUDA supported GPU](https://developer.nvidia.com/cuda-gpus#compute), the [CUDA 10.1 Toolkit](https://developer.nvidia.com/cuda-downloads), and [cuDNN 7.6.5](https://developer.nvidia.com/cudnn) (as indicated on [Onnxruntime's documentation](https://github.com/Microsoft/onnxruntime#default-gpu-cuda)).
requires a [CUDA supported GPU](https://developer.nvidia.com/cuda-gpus#compute), the [CUDA 10.2 Toolkit](https://developer.nvidia.com/cuda-downloads), and [cuDNN 8.0.3](https://developer.nvidia.com/cudnn) (as indicated on [Onnxruntime's documentation](https://github.com/Microsoft/onnxruntime#system-requirements)).
When creating the estimator through [ApplyOnnxModel](xref:Microsoft.ML.OnnxCatalog.ApplyOnnxModel*), set the parameter 'gpuDeviceId' to a valid non-negative integer. Typical device ID values are 0 or 1. If the GPU device isn't found but 'fallbackToCpu = true' then the estimator will run on the CPU. If the GPU device isn't found but 'fallbackToCpu = false' then the estimator will throw an exception
The inputs and outputs of the ONNX models must be Tensor type. Sequence and Maps are not yet supported.

2
dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml
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@ -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">

2
dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml
Просмотреть файл

@ -41,9 +41,9 @@
Check the See Also section for links to usage examples.
]]></format>
</remarks>
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[],System.Boolean)" />
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.DropColumns(Microsoft.ML.TransformsCatalog,System.String[])" />
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[])" />
<altmember cref="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[],System.Boolean)" />
</Docs>
<Members>
<Member MemberName="GetOutputSchema">

2
dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml
Просмотреть файл

@ -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">

2
dotnet/xml/Microsoft.ML/ImageEstimatorsCatalog.xml
Просмотреть файл

@ -246,7 +246,7 @@
<remarks>To be added.</remarks>
<example>
<format type="text/markdown"><![CDATA[
[!code-csharp[LoadImages](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/ImageAnalytics/LoadImages.cs)]
[!code-csharp[ImageClassification](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/ImageClassification/ImageClassificationDefault.cs)]
]]></format>
</example>
</Docs>

41
dotnet/xml/Microsoft.ML/OnnxExportExtensions.xml
Просмотреть файл

@ -83,5 +83,46 @@
<remarks>To be added.</remarks>
</Docs>
</Member>
<Member MemberName="ConvertToOnnx">
<MemberSignature Language="C#" Value="public static void ConvertToOnnx (this Microsoft.ML.ModelOperationsCatalog catalog, Microsoft.ML.ITransformer transform, Microsoft.ML.IDataView inputData, System.IO.Stream stream, params string[] outputColumns);" />
<MemberSignature Language="ILAsm" Value=".method public static hidebysig void ConvertToOnnx(class Microsoft.ML.ModelOperationsCatalog catalog, class Microsoft.ML.ITransformer transform, class Microsoft.ML.IDataView inputData, class System.IO.Stream stream, string[] outputColumns) cil managed" />
<MemberSignature Language="DocId" Value="M:Microsoft.ML.OnnxExportExtensions.ConvertToOnnx(Microsoft.ML.ModelOperationsCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.IO.Stream,System.String[])" />
<MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Sub ConvertToOnnx (catalog As ModelOperationsCatalog, transform As ITransformer, inputData As IDataView, stream As Stream, ParamArray outputColumns As String())" />
<MemberSignature Language="F#" Value="static member ConvertToOnnx : Microsoft.ML.ModelOperationsCatalog * Microsoft.ML.ITransformer * Microsoft.ML.IDataView * System.IO.Stream * string[] -&gt; unit" Usage="Microsoft.ML.OnnxExportExtensions.ConvertToOnnx (catalog, transform, inputData, stream, outputColumns)" />
<MemberType>Method</MemberType>
<AssemblyInfo>
<AssemblyName>Microsoft.ML.OnnxConverter</AssemblyName>
<AssemblyVersion>1.0.0.0</AssemblyVersion>
</AssemblyInfo>
<ReturnValue>
<ReturnType>System.Void</ReturnType>
</ReturnValue>
<Parameters>
<Parameter Name="catalog" Type="Microsoft.ML.ModelOperationsCatalog" RefType="this" />
<Parameter Name="transform" Type="Microsoft.ML.ITransformer" />
<Parameter Name="inputData" Type="Microsoft.ML.IDataView" />
<Parameter Name="stream" Type="System.IO.Stream" />
<Parameter Name="outputColumns" Type="System.String[]">
<Attributes>
<Attribute>
<AttributeName Language="C#">[System.ParamArray]</AttributeName>
<AttributeName Language="F#">[&lt;System.ParamArray&gt;]</AttributeName>
</Attribute>
</Attributes>
</Parameter>
</Parameters>
<Docs>
<param name="catalog">The class that <see cref="M:Microsoft.ML.OnnxExportExtensions.ConvertToOnnx(Microsoft.ML.ModelOperationsCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.IO.Stream)" /> attached to.</param>
<param name="transform">The <see cref="T:Microsoft.ML.ITransformer" /> that will be converted into ONNX format.</param>
<param name="inputData">The input of the specified transform.</param>
<param name="stream">The stream to write the protobuf model to.</param>
<param name="outputColumns">List of output columns we want to keep.</param>
<summary>
Convert the specified <see cref="T:Microsoft.ML.ITransformer" /> to ONNX format and writes to a stream.
</summary>
<returns>An ONNX model equivalent to the converted ML.NET model.</returns>
<remarks>To be added.</remarks>
</Docs>
</Member>
</Members>
</Type>

4
dotnet/xml/Microsoft.ML/TextCatalog.xml
Просмотреть файл

@ -602,7 +602,7 @@
<param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
<param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
<summary>
Create a <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator" />, which maps the column specified in <paramref name="inputColumnName" />
Create a <see cref="T:Microsoft.ML.Transforms.Text.WordBagEstimator" />, which maps the column specified in <paramref name="inputColumnName" />
to a vector of n-gram counts in a new column named <paramref name="outputColumnName" />.
</summary>
<returns>To be added.</returns>
@ -648,7 +648,7 @@
<param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
<param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
<summary>
Create a <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator" />, which maps the multiple columns specified in <paramref name="inputColumnNames" />
Create a <see cref="T:Microsoft.ML.Transforms.Text.WordBagEstimator" />, which maps the multiple columns specified in <paramref name="inputColumnNames" />
to a vector of n-gram counts in a new column named <paramref name="outputColumnName" />.
</summary>
<returns>To be added.</returns>

2
dotnet/xml/PackageInformation/ml-dotnet-preview.json
Просмотреть файл

@ -1 +1 @@
{"ml-dotnet-preview":{"Microsoft.ML.AutoML":{"Name":"Microsoft.ML.AutoML","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CodeGenerator":{"Name":"Microsoft.ML.CodeGenerator","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.AlexNet":{"Name":"Microsoft.ML.DnnImageFeaturizer.AlexNet","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet18":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet18","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet50":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet50","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet101":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet101","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Ensemble":{"Name":"Microsoft.ML.Ensemble","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.EntryPoints":{"Name":"Microsoft.ML.EntryPoints","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Experimental":{"Name":"Microsoft.ML.Experimental","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxConverter":{"Name":"Microsoft.ML.OnnxConverter","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Parquet":{"Name":"Microsoft.ML.Parquet","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Recommender":{"Name":"Microsoft.ML.Recommender","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SamplesUtils":{"Name":"Microsoft.ML.SampleUtils","Version":"0.17.2","Feed":"https://api.nuget.org/v3/index.json"}}}
{"ml-dotnet-preview":{"Microsoft.ML.AutoML":{"Name":"Microsoft.ML.AutoML","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CodeGenerator":{"Name":"Microsoft.ML.CodeGenerator","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.AlexNet":{"Name":"Microsoft.ML.DnnImageFeaturizer.AlexNet","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet18":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet18","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet50":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet50","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet101":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet101","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Ensemble":{"Name":"Microsoft.ML.Ensemble","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.EntryPoints":{"Name":"Microsoft.ML.EntryPoints","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Experimental":{"Name":"Microsoft.ML.Experimental","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxConverter":{"Name":"Microsoft.ML.OnnxConverter","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Parquet":{"Name":"Microsoft.ML.Parquet","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Recommender":{"Name":"Microsoft.ML.Recommender","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SamplesUtils":{"Name":"Microsoft.ML.SampleUtils","Version":"0.17.4","Feed":"https://api.nuget.org/v3/index.json"}}}

2
dotnet/xml/PackageInformation/ml-dotnet.json
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