Merge pull request #152 from dotnet/smoke-test

CI Update

dotnet/xml/FrameworksIndex/ml-dotnet.xml

@@ -511,6 +511,7 @@
     </Type>
     <Type Name="Microsoft.ML.TensorflowCatalog" Id="T:Microsoft.ML.TensorflowCatalog">
       <Member Id="M:Microsoft.ML.TensorflowCatalog.LoadTensorFlowModel(Microsoft.ML.ModelOperationsCatalog,System.String)" />
+      <Member Id="M:Microsoft.ML.TensorflowCatalog.LoadTensorFlowModel(Microsoft.ML.ModelOperationsCatalog,System.String,System.Boolean)" />
     </Type>
     <Type Name="Microsoft.ML.TextCatalog" Id="T:Microsoft.ML.TextCatalog">
       <Member Id="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind)" />
@@ -544,12 +545,16 @@
     </Type>
     <Type Name="Microsoft.ML.TimeSeriesCatalog" Id="T:Microsoft.ML.TimeSeriesCatalog">
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectAnomalyBySrCnn(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Double)" />
+      <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectChangePointBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.ErrorFunction,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectChangePointBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.ErrorFunction,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectEntireAnomalyBySrCnn(Microsoft.ML.AnomalyDetectionCatalog,Microsoft.ML.IDataView,System.String,System.String,Microsoft.ML.TimeSeries.SrCnnEntireAnomalyDetectorOptions)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectEntireAnomalyBySrCnn(Microsoft.ML.AnomalyDetectionCatalog,Microsoft.ML.IDataView,System.String,System.String,System.Double,System.Int32,System.Double,Microsoft.ML.TimeSeries.SrCnnDetectMode)" />
+      <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectIidChangePoint(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectIidChangePoint(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
+      <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectIidSpike(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectIidSpike(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectSeasonality(Microsoft.ML.AnomalyDetectionCatalog,Microsoft.ML.IDataView,System.String,System.Int32,System.Double)" />
+      <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectSpikeBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide,Microsoft.ML.Transforms.TimeSeries.ErrorFunction)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.DetectSpikeBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide,Microsoft.ML.Transforms.TimeSeries.ErrorFunction)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.ForecastBySsa(Microsoft.ML.ForecastingCatalog,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Int32,System.Boolean,System.Single,Microsoft.ML.Transforms.TimeSeries.RankSelectionMethod,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Boolean,System.Boolean,System.Nullable{Microsoft.ML.Transforms.TimeSeries.GrowthRatio},System.String,System.String,System.Single,System.Boolean)" />
       <Member Id="M:Microsoft.ML.TimeSeriesCatalog.LocalizeRootCause(Microsoft.ML.AnomalyDetectionCatalog,Microsoft.ML.TimeSeries.RootCauseLocalizationInput,System.Double,System.Double)" />

dotnet/xml/Microsoft.ML.AutoML/ColumnInferenceResults.xml

@@ -46,6 +46,12 @@
         <AssemblyName>Microsoft.ML.AutoML</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute>
+          <AttributeName Language="C#">[Newtonsoft.Json.JsonProperty(DefaultValueHandling=Newtonsoft.Json.DefaultValueHandling.Include)]</AttributeName>
+          <AttributeName Language="F#">[&lt;Newtonsoft.Json.JsonProperty(DefaultValueHandling=Newtonsoft.Json.DefaultValueHandling.Include)&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>Microsoft.ML.AutoML.ColumnInformation</ReturnType>
       </ReturnValue>
@@ -73,6 +79,12 @@
         <AssemblyName>Microsoft.ML.AutoML</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute>
+          <AttributeName Language="C#">[Newtonsoft.Json.JsonProperty(DefaultValueHandling=Newtonsoft.Json.DefaultValueHandling.Include)]</AttributeName>
+          <AttributeName Language="F#">[&lt;Newtonsoft.Json.JsonProperty(DefaultValueHandling=Newtonsoft.Json.DefaultValueHandling.Include)&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>Microsoft.ML.Data.TextLoader+Options</ReturnType>
       </ReturnValue>

dotnet/xml/Microsoft.ML.AutoML/ColumnInformation.xml

@@ -54,6 +54,12 @@
         <AssemblyName>Microsoft.ML.AutoML</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute>
+          <AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
+          <AttributeName Language="F#">[&lt;Newtonsoft.Json.JsonProperty&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>System.Collections.Generic.ICollection&lt;System.String&gt;</ReturnType>
       </ReturnValue>
@@ -123,6 +129,12 @@
         <AssemblyName>Microsoft.ML.AutoML</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute>
+          <AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
+          <AttributeName Language="F#">[&lt;Newtonsoft.Json.JsonProperty&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>System.Collections.Generic.ICollection&lt;System.String&gt;</ReturnType>
       </ReturnValue>
@@ -145,6 +157,12 @@
         <AssemblyName>Microsoft.ML.AutoML</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute>
+          <AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
+          <AttributeName Language="F#">[&lt;Newtonsoft.Json.JsonProperty&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>System.Collections.Generic.ICollection&lt;System.String&gt;</ReturnType>
       </ReturnValue>
@@ -211,6 +229,12 @@
         <AssemblyName>Microsoft.ML.AutoML</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute>
+          <AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
+          <AttributeName Language="F#">[&lt;Newtonsoft.Json.JsonProperty&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>System.Collections.Generic.ICollection&lt;System.String&gt;</ReturnType>
       </ReturnValue>
@@ -259,6 +283,12 @@
         <AssemblyName>Microsoft.ML.AutoML</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute>
+          <AttributeName Language="C#">[Newtonsoft.Json.JsonProperty]</AttributeName>
+          <AttributeName Language="F#">[&lt;Newtonsoft.Json.JsonProperty&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>System.Collections.Generic.ICollection&lt;System.String&gt;</ReturnType>
       </ReturnValue>

dotnet/xml/Microsoft.ML.Runtime/IProgressChannel.xml

@@ -33,7 +33,7 @@
   </Docs>
   <Members>
     <Member MemberName="Checkpoint">
-      <MemberSignature Language="C#" Value="public void Checkpoint (params Nullable&lt;double&gt;[] values);" />
+      <MemberSignature Language="C#" Value="public void Checkpoint (params double?[] values);" />
       <MemberSignature Language="ILAsm" Value=".method public hidebysig newslot virtual instance void Checkpoint(valuetype System.Nullable`1&lt;float64&gt;[] values) cil managed" />
       <MemberSignature Language="DocId" Value="M:Microsoft.ML.Runtime.IProgressChannel.Checkpoint(System.Nullable{System.Double}[])" />
       <MemberSignature Language="VB.NET" Value="Public Sub Checkpoint (ParamArray values As Nullable(Of Double)())" />

dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestBinaryTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers.FastTree/FastForestRegressionTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeBinaryTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRankingTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeRegressionTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers.FastTree/FastTreeTweedieTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers.FastTree/GamBinaryTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers.FastTree/GamRegressionTrainer.xml

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

dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmBinaryTrainer.xml

@@ -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,Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer.Options)" />
     <altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
+    <altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer.Options)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmMulticlassTrainer.xml

@@ -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,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
     <altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer.Options)" />
     <altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer.Options" />
+    <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)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRankingTrainer.xml

@@ -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,System.String,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
     <altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.RankingCatalog.RankingTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer.Options)" />
     <altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer.Options" />
+    <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)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Trainers.LightGbm/LightGbmRegressionTrainer.xml

@@ -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,System.String,System.String,System.String,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Nullable{System.Double},System.Int32)" />
     <altmember cref="M:Microsoft.ML.LightGbmExtensions.LightGbm(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer.Options)" />
     <altmember cref="T:Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer.Options" />
+    <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)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Trainers/AveragedPerceptronTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/FieldAwareFactorizationMachineTrainer.xml

@@ -72,10 +72,10 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options" />
     <altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String)" />
     <altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String[],System.String,System.String)" />
     <altmember cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)" />
+    <altmember cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Trainers/LbfgsLogisticRegressionBinaryTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers/LbfgsMaximumEntropyMulticlassTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers/LbfgsPoissonRegressionTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers/LdSvmTrainer.xml

@@ -51,8 +51,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Boolean)" />
     <altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LdSvmTrainer.Options)" />
+    <altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Boolean)" />
   </Docs>
   <Members>
     <Member MemberName="Info">

dotnet/xml/Microsoft.ML.Trainers/LinearSvmTrainer.xml

@@ -50,8 +50,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32)" />
     <altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)" />
+    <altmember cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32)" />
   </Docs>
   <Members />
 </Type>

dotnet/xml/Microsoft.ML.Trainers/MatrixFactorizationTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers/OlsTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers/OnlineGradientDescentTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/RandomizedPcaTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Trainers/SdcaLogisticRegressionBinaryTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/SdcaMaximumEntropyMulticlassTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/SdcaMulticlassTrainerBase`1.xml

@@ -72,12 +72,12 @@
              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.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)" />
   </Docs>
   <Members />
 </Type>

dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedBinaryTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/SdcaNonCalibratedMulticlassTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/SdcaRegressionTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/SgdCalibratedTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/SgdNonCalibratedTrainer.xml

@@ -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>

dotnet/xml/Microsoft.ML.Trainers/SymbolicSgdLogisticRegressionBinaryTrainer.xml

@@ -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">

dotnet/xml/Microsoft.ML.Transforms.Text/TextFeaturizingEstimator.xml

@@ -48,8 +48,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String)" />
     <altmember cref="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options,System.String[])" />
+    <altmember cref="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms.Text/WordBagEstimator.xml

@@ -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">

dotnet/xml/Microsoft.ML.Transforms.Text/WordEmbeddingEstimator.xml

@@ -48,8 +48,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String)" />
     <altmember cref="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind)" />
+    <altmember cref="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms.Text/WordHashBagEstimator.xml

@@ -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">

dotnet/xml/Microsoft.ML.Transforms.TimeSeries/IidChangePointEstimator.xml

@@ -44,7 +44,7 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.TimeSeriesCatalog.DetectIidChangePoint(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
+    <altmember cref="M:Microsoft.ML.TimeSeriesCatalog.DetectIidChangePoint(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
   </Docs>
   <Members>
     <Member MemberName="GetOutputSchema">

dotnet/xml/Microsoft.ML.Transforms.TimeSeries/IidSpikeEstimator.xml

@@ -44,7 +44,7 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.TimeSeriesCatalog.DetectIidSpike(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide)" />
+    <altmember cref="M:Microsoft.ML.TimeSeriesCatalog.DetectIidSpike(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide)" />
   </Docs>
   <Members>
     <Member MemberName="GetOutputSchema">

dotnet/xml/Microsoft.ML.Transforms.TimeSeries/SsaChangePointEstimator.xml

@@ -43,7 +43,7 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.TimeSeriesCatalog.DetectChangePointBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.ErrorFunction,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
+    <altmember cref="M:Microsoft.ML.TimeSeriesCatalog.DetectChangePointBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.ErrorFunction,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms.TimeSeries/SsaSpikeEstimator.xml

@@ -43,7 +43,7 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.TimeSeriesCatalog.DetectSpikeBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide,Microsoft.ML.Transforms.TimeSeries.ErrorFunction)" />
+    <altmember cref="M:Microsoft.ML.TimeSeriesCatalog.DetectSpikeBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide,Microsoft.ML.Transforms.TimeSeries.ErrorFunction)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms/ColumnSelectingEstimator.xml

@@ -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">

dotnet/xml/Microsoft.ML.Transforms/CountFeatureSelectingEstimator.xml

@@ -61,8 +61,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.Int64)" />
     <altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int64)" />
+    <altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.Int64)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms/FeatureContributionCalculatingEstimator.xml

@@ -79,8 +79,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution``2(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.CalibratedModelParametersBase{``0,``1}},System.Int32,System.Int32,System.Boolean)" />
     <altmember cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Trainers.ICalculateFeatureContribution},System.Int32,System.Int32,System.Boolean)" />
+    <altmember cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution``2(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.CalibratedModelParametersBase{``0,``1}},System.Int32,System.Int32,System.Boolean)" />
   </Docs>
   <Members>
     <Member MemberName="GetOutputSchema">

dotnet/xml/Microsoft.ML.Transforms/HashingEstimator.xml

@@ -35,8 +35,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions[])" />
     <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,System.Int32)" />
+    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions[])" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms/KeyToValueMappingEstimator.xml

@@ -33,8 +33,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)" />
     <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[])" />
+    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)" />
   </Docs>
   <Members>
     <Member MemberName="GetOutputSchema">

dotnet/xml/Microsoft.ML.Transforms/KeyToVectorMappingEstimator.xml

@@ -36,8 +36,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Boolean)" />
     <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Boolean)" />
+    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Boolean)" />
   </Docs>
   <Members>
     <Member MemberName="GetOutputSchema">

dotnet/xml/Microsoft.ML.Transforms/MissingValueIndicatorEstimator.xml

@@ -35,8 +35,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[])" />
     <altmember cref="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String)" />
+    <altmember cref="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[])" />
   </Docs>
   <Members>
     <Member MemberName="GetOutputSchema">

dotnet/xml/Microsoft.ML.Transforms/MissingValueReplacingEstimator.xml

@@ -37,8 +37,8 @@
              Check the See Also section for links of usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)" />
     <altmember cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)" />
+    <altmember cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms/MutualInformationFeatureSelectingEstimator.xml

@@ -65,8 +65,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.String,System.Int32,System.Int32)" />
     <altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],System.String,System.Int32,System.Int32)" />
+    <altmember cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.String,System.Int32,System.Int32)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms/OneHotEncodingEstimator.xml

@@ -65,8 +65,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)" />
     <altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)" />
+    <altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms/OneHotHashEncodingEstimator.xml

@@ -64,8 +64,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)" />
     <altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)" />
+    <altmember cref="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML.Transforms/TypeConvertingEstimator.xml

@@ -34,8 +34,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,Microsoft.ML.Data.DataKind)" />
     <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Data.DataKind)" />
+    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,Microsoft.ML.Data.DataKind)" />
   </Docs>
   <Members>
     <Member MemberName="GetOutputSchema">

dotnet/xml/Microsoft.ML.Transforms/ValueToKeyMappingEstimator.xml

@@ -48,8 +48,8 @@
              Check the See Also section for links to usage examples.
              ]]></format>
     </remarks>
-    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)" />
     <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)" />
+    <altmember cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)" />
   </Docs>
   <Members>
     <Member MemberName="Fit">

dotnet/xml/Microsoft.ML/PredictionEngine`2.xml

@@ -33,12 +33,14 @@
     <typeparam name="TSrc">To be added.</typeparam>
     <typeparam name="TDst">To be added.</typeparam>
     <summary>
-            Class for making single predictions on a previously trained model (and preceding transform pipeline).
-            </summary>
+             Class for making single predictions on a previously trained model (and preceding transform pipeline).
+             </summary>
     <remarks>
-            This class can also be used with trained pipelines that do not end with a predictor: in this case, the
-            'prediction' will be just the outcome of all the transformations.
-            </remarks>
+             This class can also be used with trained pipelines that do not end with a predictor: in this case, the
+             'prediction' will be just the outcome of all the transformations.
+            
+             The PredictionEngine is NOT thread safe. Using it in a threaded environment can cause unexpected issues.
+             </remarks>
   </Docs>
   <Members>
     <Member MemberName="Predict">

dotnet/xml/Microsoft.ML/StandardTrainersCatalog.xml

@@ -56,11 +56,13 @@
       </Docs>
     </Member>
     <Member MemberName="AveragedPerceptron">
-      <MemberSignature Language="C#" Value="public static Microsoft.ML.Trainers.AveragedPerceptronTrainer AveragedPerceptron (this Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers catalog, string labelColumnName = &quot;Label&quot;, string featureColumnName = &quot;Features&quot;, Microsoft.ML.Trainers.IClassificationLoss lossFunction = default, float learningRate = 1, bool decreaseLearningRate = false, float l2Regularization = 0, int numberOfIterations = 1);" />
+      <MemberSignature Language="C#" Value="public static Microsoft.ML.Trainers.AveragedPerceptronTrainer AveragedPerceptron (this Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers catalog, string labelColumnName = &quot;Label&quot;, string featureColumnName = &quot;Features&quot;, Microsoft.ML.Trainers.IClassificationLoss lossFunction = default, float learningRate = 1, bool decreaseLearningRate = false, float l2Regularization = 0, int numberOfIterations = 10);" FrameworkAlternate="ml-dotnet" />
       <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Trainers.AveragedPerceptronTrainer AveragedPerceptron(class Microsoft.ML.BinaryClassificationCatalog/BinaryClassificationTrainers catalog, string labelColumnName, string featureColumnName, class Microsoft.ML.Trainers.IClassificationLoss lossFunction, float32 learningRate, bool decreaseLearningRate, float32 l2Regularization, int32 numberOfIterations) cil managed" />
       <MemberSignature Language="DocId" Value="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)" />
-      <MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function AveragedPerceptron (catalog As BinaryClassificationCatalog.BinaryClassificationTrainers, Optional labelColumnName As String = &quot;Label&quot;, Optional featureColumnName As String = &quot;Features&quot;, Optional lossFunction As IClassificationLoss = Nothing, Optional learningRate As Single = 1, Optional decreaseLearningRate As Boolean = false, Optional l2Regularization As Single = 0, Optional numberOfIterations As Integer = 1) As AveragedPerceptronTrainer" />
+      <MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function AveragedPerceptron (catalog As BinaryClassificationCatalog.BinaryClassificationTrainers, Optional labelColumnName As String = &quot;Label&quot;, Optional featureColumnName As String = &quot;Features&quot;, Optional lossFunction As IClassificationLoss = Nothing, Optional learningRate As Single = 1, Optional decreaseLearningRate As Boolean = false, Optional l2Regularization As Single = 0, Optional numberOfIterations As Integer = 10) As AveragedPerceptronTrainer" FrameworkAlternate="ml-dotnet" />
       <MemberSignature Language="F#" Value="static member AveragedPerceptron : Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers * string * string * Microsoft.ML.Trainers.IClassificationLoss * single * bool * single * int -&gt; Microsoft.ML.Trainers.AveragedPerceptronTrainer" Usage="Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron (catalog, labelColumnName, featureColumnName, lossFunction, learningRate, decreaseLearningRate, l2Regularization, numberOfIterations)" />
+      <MemberSignature Language="C#" Value="public static Microsoft.ML.Trainers.AveragedPerceptronTrainer AveragedPerceptron (this Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers catalog, string labelColumnName = &quot;Label&quot;, string featureColumnName = &quot;Features&quot;, Microsoft.ML.Trainers.IClassificationLoss lossFunction = default, float learningRate = 1, bool decreaseLearningRate = false, float l2Regularization = 0, int numberOfIterations = 1);" 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" />
+      <MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function AveragedPerceptron (catalog As BinaryClassificationCatalog.BinaryClassificationTrainers, Optional labelColumnName As String = &quot;Label&quot;, Optional featureColumnName As String = &quot;Features&quot;, Optional lossFunction As IClassificationLoss = Nothing, Optional learningRate As Single = 1, Optional decreaseLearningRate As Boolean = false, Optional l2Regularization As Single = 0, Optional numberOfIterations As Integer = 1) As AveragedPerceptronTrainer" 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" />
       <MemberType>Method</MemberType>
       <AssemblyInfo>
         <AssemblyName>Microsoft.ML.StandardTrainers</AssemblyName>

dotnet/xml/Microsoft.ML/TensorflowCatalog.xml

@@ -108,5 +108,47 @@
         </example>
       </Docs>
     </Member>
+    <Member MemberName="LoadTensorFlowModel">
+      <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TensorFlowModel LoadTensorFlowModel (this Microsoft.ML.ModelOperationsCatalog catalog, string modelLocation, bool treatOutputAsBatched);" />
+      <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TensorFlowModel LoadTensorFlowModel(class Microsoft.ML.ModelOperationsCatalog catalog, string modelLocation, bool treatOutputAsBatched) cil managed" />
+      <MemberSignature Language="DocId" Value="M:Microsoft.ML.TensorflowCatalog.LoadTensorFlowModel(Microsoft.ML.ModelOperationsCatalog,System.String,System.Boolean)" />
+      <MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function LoadTensorFlowModel (catalog As ModelOperationsCatalog, modelLocation As String, treatOutputAsBatched As Boolean) As TensorFlowModel" />
+      <MemberSignature Language="F#" Value="static member LoadTensorFlowModel : Microsoft.ML.ModelOperationsCatalog * string * bool -&gt; Microsoft.ML.Transforms.TensorFlowModel" Usage="Microsoft.ML.TensorflowCatalog.LoadTensorFlowModel (catalog, modelLocation, treatOutputAsBatched)" />
+      <MemberType>Method</MemberType>
+      <AssemblyInfo>
+        <AssemblyName>Microsoft.ML.TensorFlow</AssemblyName>
+        <AssemblyVersion>1.0.0.0</AssemblyVersion>
+      </AssemblyInfo>
+      <ReturnValue>
+        <ReturnType>Microsoft.ML.Transforms.TensorFlowModel</ReturnType>
+      </ReturnValue>
+      <Parameters>
+        <Parameter Name="catalog" Type="Microsoft.ML.ModelOperationsCatalog" Index="0" FrameworkAlternate="ml-dotnet" RefType="this" />
+        <Parameter Name="modelLocation" Type="System.String" Index="1" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="treatOutputAsBatched" Type="System.Boolean" Index="2" FrameworkAlternate="ml-dotnet" />
+      </Parameters>
+      <Docs>
+        <param name="catalog">The transform's catalog.</param>
+        <param name="modelLocation">Location of the TensorFlow model.</param>
+        <param name="treatOutputAsBatched">If the first dimension of the output is unknown, should it be treated as batched or not.</param>
+        <summary>
+             Load TensorFlow model into memory. This is the convenience method that allows the model to be loaded once and subsequently use it for querying schema and creation of
+             <see cref="T:Microsoft.ML.Transforms.TensorFlowEstimator" /> using <see cref="M:Microsoft.ML.Transforms.TensorFlowModel.ScoreTensorFlowModel(System.String,System.String,System.Boolean)" />.
+             usage of this API requires additional NuGet dependencies on TensorFlow redist, see linked document for more information.
+             <see cref="T:Microsoft.ML.Transforms.TensorFlowModel" /> also holds references to unmanaged resources that need to be freed either with an explicit
+             call to Dispose() or implicitly by declaring the variable with the "using" syntax/&gt;
+            
+             <format type="text/markdown"><![CDATA[
+             [!include[io](~/../docs/samples/docs/api-reference/tensorflow-usage.md)]
+             ]]></format></summary>
+        <returns>To be added.</returns>
+        <remarks>To be added.</remarks>
+        <example>
+          <format type="text/markdown"><![CDATA[
+             [!code-csharp[LoadTensorFlowModel](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/TensorFlow/TextClassification.cs)]
+             ]]></format>
+        </example>
+      </Docs>
+    </Member>
   </Members>
 </Type>

dotnet/xml/Microsoft.ML/TimeSeriesCatalog.xml

@@ -71,6 +71,58 @@
         </example>
       </Docs>
     </Member>
+    <Member MemberName="DetectChangePointBySsa">
+      <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator DetectChangePointBySsa (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, double confidence, int changeHistoryLength, int trainingWindowSize, int seasonalityWindowSize, Microsoft.ML.Transforms.TimeSeries.ErrorFunction errorFunction = Microsoft.ML.Transforms.TimeSeries.ErrorFunction.SignedDifference, Microsoft.ML.Transforms.TimeSeries.MartingaleType martingale = Microsoft.ML.Transforms.TimeSeries.MartingaleType.Power, double eps = 0.1);" />
+      <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator DetectChangePointBySsa(class Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, float64 confidence, int32 changeHistoryLength, int32 trainingWindowSize, int32 seasonalityWindowSize, valuetype Microsoft.ML.Transforms.TimeSeries.ErrorFunction errorFunction, valuetype Microsoft.ML.Transforms.TimeSeries.MartingaleType martingale, float64 eps) cil managed" />
+      <MemberSignature Language="DocId" Value="M:Microsoft.ML.TimeSeriesCatalog.DetectChangePointBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.ErrorFunction,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
+      <MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function DetectChangePointBySsa (catalog As TransformsCatalog, outputColumnName As String, inputColumnName As String, confidence As Double, changeHistoryLength As Integer, trainingWindowSize As Integer, seasonalityWindowSize As Integer, Optional errorFunction As ErrorFunction = Microsoft.ML.Transforms.TimeSeries.ErrorFunction.SignedDifference, Optional martingale As MartingaleType = Microsoft.ML.Transforms.TimeSeries.MartingaleType.Power, Optional eps As Double = 0.1) As SsaChangePointEstimator" />
+      <MemberSignature Language="F#" Value="static member DetectChangePointBySsa : Microsoft.ML.TransformsCatalog * string * string * double * int * int * int * Microsoft.ML.Transforms.TimeSeries.ErrorFunction * Microsoft.ML.Transforms.TimeSeries.MartingaleType * double -&gt; Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator" Usage="Microsoft.ML.TimeSeriesCatalog.DetectChangePointBySsa (catalog, outputColumnName, inputColumnName, confidence, changeHistoryLength, trainingWindowSize, seasonalityWindowSize, errorFunction, martingale, eps)" />
+      <MemberType>Method</MemberType>
+      <AssemblyInfo>
+        <AssemblyName>Microsoft.ML.TimeSeries</AssemblyName>
+        <AssemblyVersion>1.0.0.0</AssemblyVersion>
+      </AssemblyInfo>
+      <ReturnValue>
+        <ReturnType>Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator</ReturnType>
+      </ReturnValue>
+      <Parameters>
+        <Parameter Name="catalog" Type="Microsoft.ML.TransformsCatalog" Index="0" FrameworkAlternate="ml-dotnet" RefType="this" />
+        <Parameter Name="outputColumnName" Type="System.String" Index="1" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="inputColumnName" Type="System.String" Index="2" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="confidence" Type="System.Double" Index="3" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="changeHistoryLength" Type="System.Int32" Index="4" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="trainingWindowSize" Type="System.Int32" Index="5" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="seasonalityWindowSize" Type="System.Int32" Index="6" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="errorFunction" Type="Microsoft.ML.Transforms.TimeSeries.ErrorFunction" Index="7" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="martingale" Type="Microsoft.ML.Transforms.TimeSeries.MartingaleType" Index="8" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="eps" Type="System.Double" Index="9" FrameworkAlternate="ml-dotnet" />
+      </Parameters>
+      <Docs>
+        <param name="catalog">The transform's catalog.</param>
+        <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.
+            The column data is a vector of <see cref="T:System.Double" />. The vector contains 4 elements: alert (non-zero value means a change point), raw score, p-Value and martingale score.</param>
+        <param name="inputColumnName">Name of column to transform. The column data must be <see cref="T:System.Single" />.
+            If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
+        <param name="confidence">The confidence for change point detection in the range [0, 100].</param>
+        <param name="trainingWindowSize">The number of points from the beginning of the sequence used for training.</param>
+        <param name="changeHistoryLength">The size of the sliding window for computing the p-value.</param>
+        <param name="seasonalityWindowSize">An upper bound on the largest relevant seasonality in the input time-series.</param>
+        <param name="errorFunction">The function used to compute the error between the expected and the observed value.</param>
+        <param name="martingale">The martingale used for scoring.</param>
+        <param name="eps">The epsilon parameter for the Power martingale.</param>
+        <summary>
+            Create <see cref="T:Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator" />, which predicts change points in time series
+            using <a href="https://en.wikipedia.org/wiki/Singular_spectrum_analysis">Singular Spectrum Analysis (SSA)</a>.
+            </summary>
+        <returns>To be added.</returns>
+        <remarks>To be added.</remarks>
+        <example>
+          <format type="text/markdown"><![CDATA[
+            [!code-csharp[DetectChangePointBySsa](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectChangePointBySsaBatchPrediction.cs)]
+            ]]></format>
+        </example>
+      </Docs>
+    </Member>
     <Member MemberName="DetectChangePointBySsa">
       <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator DetectChangePointBySsa (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, int confidence, int changeHistoryLength, int trainingWindowSize, int seasonalityWindowSize, Microsoft.ML.Transforms.TimeSeries.ErrorFunction errorFunction = Microsoft.ML.Transforms.TimeSeries.ErrorFunction.SignedDifference, Microsoft.ML.Transforms.TimeSeries.MartingaleType martingale = Microsoft.ML.Transforms.TimeSeries.MartingaleType.Power, double eps = 0.1);" />
       <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator DetectChangePointBySsa(class Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, int32 confidence, int32 changeHistoryLength, int32 trainingWindowSize, int32 seasonalityWindowSize, valuetype Microsoft.ML.Transforms.TimeSeries.ErrorFunction errorFunction, valuetype Microsoft.ML.Transforms.TimeSeries.MartingaleType martingale, float64 eps) cil managed" />
@@ -82,6 +134,12 @@
         <AssemblyName>Microsoft.ML.TimeSeries</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute FrameworkAlternate="ml-dotnet">
+          <AttributeName Language="C#">[System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")]</AttributeName>
+          <AttributeName Language="F#">[&lt;System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>Microsoft.ML.Transforms.TimeSeries.SsaChangePointEstimator</ReturnType>
       </ReturnValue>
@@ -216,6 +274,52 @@
         </example>
       </Docs>
     </Member>
+    <Member MemberName="DetectIidChangePoint">
+      <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator DetectIidChangePoint (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, double confidence, int changeHistoryLength, Microsoft.ML.Transforms.TimeSeries.MartingaleType martingale = Microsoft.ML.Transforms.TimeSeries.MartingaleType.Power, double eps = 0.1);" />
+      <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator DetectIidChangePoint(class Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, float64 confidence, int32 changeHistoryLength, valuetype Microsoft.ML.Transforms.TimeSeries.MartingaleType martingale, float64 eps) cil managed" />
+      <MemberSignature Language="DocId" Value="M:Microsoft.ML.TimeSeriesCatalog.DetectIidChangePoint(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,Microsoft.ML.Transforms.TimeSeries.MartingaleType,System.Double)" />
+      <MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function DetectIidChangePoint (catalog As TransformsCatalog, outputColumnName As String, inputColumnName As String, confidence As Double, changeHistoryLength As Integer, Optional martingale As MartingaleType = Microsoft.ML.Transforms.TimeSeries.MartingaleType.Power, Optional eps As Double = 0.1) As IidChangePointEstimator" />
+      <MemberSignature Language="F#" Value="static member DetectIidChangePoint : Microsoft.ML.TransformsCatalog * string * string * double * int * Microsoft.ML.Transforms.TimeSeries.MartingaleType * double -&gt; Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator" Usage="Microsoft.ML.TimeSeriesCatalog.DetectIidChangePoint (catalog, outputColumnName, inputColumnName, confidence, changeHistoryLength, martingale, eps)" />
+      <MemberType>Method</MemberType>
+      <AssemblyInfo>
+        <AssemblyName>Microsoft.ML.TimeSeries</AssemblyName>
+        <AssemblyVersion>1.0.0.0</AssemblyVersion>
+      </AssemblyInfo>
+      <ReturnValue>
+        <ReturnType>Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator</ReturnType>
+      </ReturnValue>
+      <Parameters>
+        <Parameter Name="catalog" Type="Microsoft.ML.TransformsCatalog" Index="0" FrameworkAlternate="ml-dotnet" RefType="this" />
+        <Parameter Name="outputColumnName" Type="System.String" Index="1" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="inputColumnName" Type="System.String" Index="2" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="confidence" Type="System.Double" Index="3" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="changeHistoryLength" Type="System.Int32" Index="4" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="martingale" Type="Microsoft.ML.Transforms.TimeSeries.MartingaleType" Index="5" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="eps" Type="System.Double" Index="6" FrameworkAlternate="ml-dotnet" />
+      </Parameters>
+      <Docs>
+        <param name="catalog">The transform's catalog.</param>
+        <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.
+            The column data is a vector of <see cref="T:System.Double" />. The vector contains 4 elements: alert (non-zero value means a change point), raw score, p-Value and martingale score.</param>
+        <param name="inputColumnName">Name of column to transform. The column data must be <see cref="T:System.Single" />. If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
+        <param name="confidence">The confidence for change point detection in the range [0, 100].</param>
+        <param name="changeHistoryLength">The length of the sliding window on p-values for computing the martingale score.</param>
+        <param name="martingale">The martingale used for scoring.</param>
+        <param name="eps">The epsilon parameter for the Power martingale.</param>
+        <summary>
+            Create <see cref="T:Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator" />, which predicts change points in an
+            <a href="https://en.wikipedia.org/wiki/Independent_and_identically_distributed_random_variables">independent identically distributed (i.i.d.)</a>
+            time series based on adaptive kernel density estimations and martingale scores.
+            </summary>
+        <returns>To be added.</returns>
+        <remarks>To be added.</remarks>
+        <example>
+          <format type="text/markdown"><![CDATA[
+            [!code-csharp[DetectIidChangePoint](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIidChangePointBatchPrediction.cs)]
+            ]]></format>
+        </example>
+      </Docs>
+    </Member>
     <Member MemberName="DetectIidChangePoint">
       <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator DetectIidChangePoint (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, int confidence, int changeHistoryLength, Microsoft.ML.Transforms.TimeSeries.MartingaleType martingale = Microsoft.ML.Transforms.TimeSeries.MartingaleType.Power, double eps = 0.1);" />
       <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator DetectIidChangePoint(class Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, int32 confidence, int32 changeHistoryLength, valuetype Microsoft.ML.Transforms.TimeSeries.MartingaleType martingale, float64 eps) cil managed" />
@@ -227,6 +331,12 @@
         <AssemblyName>Microsoft.ML.TimeSeries</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute FrameworkAlternate="ml-dotnet">
+          <AttributeName Language="C#">[System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")]</AttributeName>
+          <AttributeName Language="F#">[&lt;System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>Microsoft.ML.Transforms.TimeSeries.IidChangePointEstimator</ReturnType>
       </ReturnValue>
@@ -262,6 +372,51 @@
         </example>
       </Docs>
     </Member>
+    <Member MemberName="DetectIidSpike">
+      <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator DetectIidSpike (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, double confidence, int pvalueHistoryLength, Microsoft.ML.Transforms.TimeSeries.AnomalySide side = Microsoft.ML.Transforms.TimeSeries.AnomalySide.TwoSided);" />
+      <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator DetectIidSpike(class Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, float64 confidence, int32 pvalueHistoryLength, valuetype Microsoft.ML.Transforms.TimeSeries.AnomalySide side) cil managed" />
+      <MemberSignature Language="DocId" Value="M:Microsoft.ML.TimeSeriesCatalog.DetectIidSpike(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide)" />
+      <MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function DetectIidSpike (catalog As TransformsCatalog, outputColumnName As String, inputColumnName As String, confidence As Double, pvalueHistoryLength As Integer, Optional side As AnomalySide = Microsoft.ML.Transforms.TimeSeries.AnomalySide.TwoSided) As IidSpikeEstimator" />
+      <MemberSignature Language="F#" Value="static member DetectIidSpike : Microsoft.ML.TransformsCatalog * string * string * double * int * Microsoft.ML.Transforms.TimeSeries.AnomalySide -&gt; Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator" Usage="Microsoft.ML.TimeSeriesCatalog.DetectIidSpike (catalog, outputColumnName, inputColumnName, confidence, pvalueHistoryLength, side)" />
+      <MemberType>Method</MemberType>
+      <AssemblyInfo>
+        <AssemblyName>Microsoft.ML.TimeSeries</AssemblyName>
+        <AssemblyVersion>1.0.0.0</AssemblyVersion>
+      </AssemblyInfo>
+      <ReturnValue>
+        <ReturnType>Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator</ReturnType>
+      </ReturnValue>
+      <Parameters>
+        <Parameter Name="catalog" Type="Microsoft.ML.TransformsCatalog" Index="0" FrameworkAlternate="ml-dotnet" RefType="this" />
+        <Parameter Name="outputColumnName" Type="System.String" Index="1" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="inputColumnName" Type="System.String" Index="2" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="confidence" Type="System.Double" Index="3" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="pvalueHistoryLength" Type="System.Int32" Index="4" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="side" Type="Microsoft.ML.Transforms.TimeSeries.AnomalySide" Index="5" FrameworkAlternate="ml-dotnet" />
+      </Parameters>
+      <Docs>
+        <param name="catalog">The transform's catalog.</param>
+        <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.
+            The column data is a vector of <see cref="T:System.Double" />. The vector contains 3 elements: alert (non-zero value means a spike), raw score, and p-value.</param>
+        <param name="inputColumnName">Name of column to transform. The column data must be <see cref="T:System.Single" />.
+            If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
+        <param name="confidence">The confidence for spike detection in the range [0, 100].</param>
+        <param name="pvalueHistoryLength">The size of the sliding window for computing the p-value.</param>
+        <param name="side">The argument that determines whether to detect positive or negative anomalies, or both.</param>
+        <summary>
+            Create <see cref="T:Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator" />, which predicts spikes in
+            <a href="https://en.wikipedia.org/wiki/Independent_and_identically_distributed_random_variables"> independent identically distributed (i.i.d.)</a>
+            time series based on adaptive kernel density estimations and martingale scores.
+            </summary>
+        <returns>To be added.</returns>
+        <remarks>To be added.</remarks>
+        <example>
+          <format type="text/markdown"><![CDATA[
+            [!code-csharp[DetectIidSpike](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectIidSpikeBatchPrediction.cs)]
+            ]]></format>
+        </example>
+      </Docs>
+    </Member>
     <Member MemberName="DetectIidSpike">
       <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator DetectIidSpike (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, int confidence, int pvalueHistoryLength, Microsoft.ML.Transforms.TimeSeries.AnomalySide side = Microsoft.ML.Transforms.TimeSeries.AnomalySide.TwoSided);" />
       <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator DetectIidSpike(class Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, int32 confidence, int32 pvalueHistoryLength, valuetype Microsoft.ML.Transforms.TimeSeries.AnomalySide side) cil managed" />
@@ -273,6 +428,12 @@
         <AssemblyName>Microsoft.ML.TimeSeries</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute FrameworkAlternate="ml-dotnet">
+          <AttributeName Language="C#">[System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")]</AttributeName>
+          <AttributeName Language="F#">[&lt;System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>Microsoft.ML.Transforms.TimeSeries.IidSpikeEstimator</ReturnType>
       </ReturnValue>
@@ -364,6 +525,56 @@
         </example>
       </Docs>
     </Member>
+    <Member MemberName="DetectSpikeBySsa">
+      <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator DetectSpikeBySsa (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, double confidence, int pvalueHistoryLength, int trainingWindowSize, int seasonalityWindowSize, Microsoft.ML.Transforms.TimeSeries.AnomalySide side = Microsoft.ML.Transforms.TimeSeries.AnomalySide.TwoSided, Microsoft.ML.Transforms.TimeSeries.ErrorFunction errorFunction = Microsoft.ML.Transforms.TimeSeries.ErrorFunction.SignedDifference);" />
+      <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator DetectSpikeBySsa(class Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, float64 confidence, int32 pvalueHistoryLength, int32 trainingWindowSize, int32 seasonalityWindowSize, valuetype Microsoft.ML.Transforms.TimeSeries.AnomalySide side, valuetype Microsoft.ML.Transforms.TimeSeries.ErrorFunction errorFunction) cil managed" />
+      <MemberSignature Language="DocId" Value="M:Microsoft.ML.TimeSeriesCatalog.DetectSpikeBySsa(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Double,System.Int32,System.Int32,System.Int32,Microsoft.ML.Transforms.TimeSeries.AnomalySide,Microsoft.ML.Transforms.TimeSeries.ErrorFunction)" />
+      <MemberSignature Language="VB.NET" Value="&lt;Extension()&gt;&#xA;Public Function DetectSpikeBySsa (catalog As TransformsCatalog, outputColumnName As String, inputColumnName As String, confidence As Double, pvalueHistoryLength As Integer, trainingWindowSize As Integer, seasonalityWindowSize As Integer, Optional side As AnomalySide = Microsoft.ML.Transforms.TimeSeries.AnomalySide.TwoSided, Optional errorFunction As ErrorFunction = Microsoft.ML.Transforms.TimeSeries.ErrorFunction.SignedDifference) As SsaSpikeEstimator" />
+      <MemberSignature Language="F#" Value="static member DetectSpikeBySsa : Microsoft.ML.TransformsCatalog * string * string * double * int * int * int * Microsoft.ML.Transforms.TimeSeries.AnomalySide * Microsoft.ML.Transforms.TimeSeries.ErrorFunction -&gt; Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator" Usage="Microsoft.ML.TimeSeriesCatalog.DetectSpikeBySsa (catalog, outputColumnName, inputColumnName, confidence, pvalueHistoryLength, trainingWindowSize, seasonalityWindowSize, side, errorFunction)" />
+      <MemberType>Method</MemberType>
+      <AssemblyInfo>
+        <AssemblyName>Microsoft.ML.TimeSeries</AssemblyName>
+        <AssemblyVersion>1.0.0.0</AssemblyVersion>
+      </AssemblyInfo>
+      <ReturnValue>
+        <ReturnType>Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator</ReturnType>
+      </ReturnValue>
+      <Parameters>
+        <Parameter Name="catalog" Type="Microsoft.ML.TransformsCatalog" Index="0" FrameworkAlternate="ml-dotnet" RefType="this" />
+        <Parameter Name="outputColumnName" Type="System.String" Index="1" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="inputColumnName" Type="System.String" Index="2" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="confidence" Type="System.Double" Index="3" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="pvalueHistoryLength" Type="System.Int32" Index="4" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="trainingWindowSize" Type="System.Int32" Index="5" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="seasonalityWindowSize" Type="System.Int32" Index="6" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="side" Type="Microsoft.ML.Transforms.TimeSeries.AnomalySide" Index="7" FrameworkAlternate="ml-dotnet" />
+        <Parameter Name="errorFunction" Type="Microsoft.ML.Transforms.TimeSeries.ErrorFunction" Index="8" FrameworkAlternate="ml-dotnet" />
+      </Parameters>
+      <Docs>
+        <param name="catalog">The transform's catalog.</param>
+        <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.
+            The column data is a vector of <see cref="T:System.Double" />. The vector contains 3 elements: alert (non-zero value means a spike), raw score, and p-value.</param>
+        <param name="inputColumnName">Name of column to transform. The column data must be <see cref="T:System.Single" />.
+            If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
+        <param name="confidence">The confidence for spike detection in the range [0, 100].</param>
+        <param name="pvalueHistoryLength">The size of the sliding window for computing the p-value.</param>
+        <param name="trainingWindowSize">The number of points from the beginning of the sequence used for training.</param>
+        <param name="seasonalityWindowSize">An upper bound on the largest relevant seasonality in the input time-series.</param>
+        <param name="side">The argument that determines whether to detect positive or negative anomalies, or both.</param>
+        <param name="errorFunction">The function used to compute the error between the expected and the observed value.</param>
+        <summary>
+            Create <see cref="T:Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator" />, which predicts spikes in time series
+            using <a href="https://en.wikipedia.org/wiki/Singular_spectrum_analysis">Singular Spectrum Analysis (SSA)</a>.
+            </summary>
+        <returns>To be added.</returns>
+        <remarks>To be added.</remarks>
+        <example>
+          <format type="text/markdown"><![CDATA[
+            [!code-csharp[DetectSpikeBySsa](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/TimeSeries/DetectSpikeBySsaBatchPrediction.cs)]
+            ]]></format>
+        </example>
+      </Docs>
+    </Member>
     <Member MemberName="DetectSpikeBySsa">
       <MemberSignature Language="C#" Value="public static Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator DetectSpikeBySsa (this Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, int confidence, int pvalueHistoryLength, int trainingWindowSize, int seasonalityWindowSize, Microsoft.ML.Transforms.TimeSeries.AnomalySide side = Microsoft.ML.Transforms.TimeSeries.AnomalySide.TwoSided, Microsoft.ML.Transforms.TimeSeries.ErrorFunction errorFunction = Microsoft.ML.Transforms.TimeSeries.ErrorFunction.SignedDifference);" />
       <MemberSignature Language="ILAsm" Value=".method public static hidebysig class Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator DetectSpikeBySsa(class Microsoft.ML.TransformsCatalog catalog, string outputColumnName, string inputColumnName, int32 confidence, int32 pvalueHistoryLength, int32 trainingWindowSize, int32 seasonalityWindowSize, valuetype Microsoft.ML.Transforms.TimeSeries.AnomalySide side, valuetype Microsoft.ML.Transforms.TimeSeries.ErrorFunction errorFunction) cil managed" />
@@ -375,6 +586,12 @@
         <AssemblyName>Microsoft.ML.TimeSeries</AssemblyName>
         <AssemblyVersion>1.0.0.0</AssemblyVersion>
       </AssemblyInfo>
+      <Attributes>
+        <Attribute FrameworkAlternate="ml-dotnet">
+          <AttributeName Language="C#">[System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")]</AttributeName>
+          <AttributeName Language="F#">[&lt;System.Obsolete("This API method is deprecated, please use the overload with confidence parameter of type double.")&gt;]</AttributeName>
+        </Attribute>
+      </Attributes>
       <ReturnValue>
         <ReturnType>Microsoft.ML.Transforms.TimeSeries.SsaSpikeEstimator</ReturnType>
       </ReturnValue>

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

@@ -1 +1 @@
-{"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"}}}
+{"ml-dotnet-preview":{"Microsoft.ML.AutoML":{"Name":"Microsoft.ML.AutoML","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CodeGenerator":{"Name":"Microsoft.ML.CodeGenerator","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.AlexNet":{"Name":"Microsoft.ML.DnnImageFeaturizer.AlexNet","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet18":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet18","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet50":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet50","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DnnImageFeaturizer.ResNet101":{"Name":"Microsoft.ML.DnnImageFeaturizer.ResNet101","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Ensemble":{"Name":"Microsoft.ML.Ensemble","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.EntryPoints":{"Name":"Microsoft.ML.EntryPoints","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Experimental":{"Name":"Microsoft.ML.Experimental","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxConverter":{"Name":"Microsoft.ML.OnnxConverter","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Parquet":{"Name":"Microsoft.ML.Parquet","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Recommender":{"Name":"Microsoft.ML.Recommender","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.SamplesUtils":{"Name":"Microsoft.ML.SampleUtils","Version":"0.17.5","Feed":"https://api.nuget.org/v3/index.json"}}}

dotnet/xml/PackageInformation/ml-dotnet.json

@@ -1 +1 @@
-{"ml-dotnet":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"1.5.4","Feed":"https://api.nuget.org/v3/index.json"}}}
+{"ml-dotnet":{"Microsoft.ML.Core":{"Name":"Microsoft.ML","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Data":{"Name":"Microsoft.ML","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML":{"Name":"Microsoft.ML","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.KMeansClustering":{"Name":"Microsoft.ML","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.PCA":{"Name":"Microsoft.ML","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.StandardTrainers":{"Name":"Microsoft.ML","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Transforms":{"Name":"Microsoft.ML","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.CpuMath":{"Name":"Microsoft.ML.CpuMath","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.DataView":{"Name":"Microsoft.ML.DataView","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.Extensions.ML":{"Name":"Microsoft.Extensions.ML","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.FastTree":{"Name":"Microsoft.ML.FastTree","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.ImageAnalytics":{"Name":"Microsoft.ML.ImageAnalytics","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.LightGbm":{"Name":"Microsoft.ML.LightGbm","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Mkl.Components":{"Name":"Microsoft.ML.Mkl.Components","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.OnnxTransformer":{"Name":"Microsoft.ML.OnnxTransformer","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TensorFlow":{"Name":"Microsoft.ML.TensorFlow","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.TimeSeries":{"Name":"Microsoft.ML.TimeSeries","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"},"Microsoft.ML.Vision":{"Name":"Microsoft.ML.Vision","Version":"1.5.5","Feed":"https://api.nuget.org/v3/index.json"}}}