Obsolete API

Microsoft.ML.sln

@@ -15,8 +15,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Core.Tests", "
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.CpuMath", "src\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj", "{46F2F967-C23F-4076-858D-33F7DA9BD2DA}"
 EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.PipelineInference", "src\Microsoft.ML.PipelineInference\Microsoft.ML.PipelineInference.csproj", "{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}"
-EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Data", "src\Microsoft.ML.Data\Microsoft.ML.Data.csproj", "{AD92D96B-0E96-4F22-8DCE-892E13B1F282}"
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Onnx", "src\Microsoft.ML.Onnx\Microsoft.ML.Onnx.csproj", "{65D0603E-B96C-4DFC-BDD1-705891B88C18}"
@@ -165,14 +163,6 @@ Global
 		{46F2F967-C23F-4076-858D-33F7DA9BD2DA}.Release|Any CPU.Build.0 = Release|Any CPU
 		{46F2F967-C23F-4076-858D-33F7DA9BD2DA}.Release-Intrinsics|Any CPU.ActiveCfg = Release-Intrinsics|Any CPU
 		{46F2F967-C23F-4076-858D-33F7DA9BD2DA}.Release-Intrinsics|Any CPU.Build.0 = Release-Intrinsics|Any CPU
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}.Debug-Intrinsics|Any CPU.ActiveCfg = Debug-Intrinsics|Any CPU
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}.Debug-Intrinsics|Any CPU.Build.0 = Debug-Intrinsics|Any CPU
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}.Release|Any CPU.Build.0 = Release|Any CPU
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}.Release-Intrinsics|Any CPU.ActiveCfg = Release-Intrinsics|Any CPU
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44}.Release-Intrinsics|Any CPU.Build.0 = Release-Intrinsics|Any CPU
 		{AD92D96B-0E96-4F22-8DCE-892E13B1F282}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
 		{AD92D96B-0E96-4F22-8DCE-892E13B1F282}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{AD92D96B-0E96-4F22-8DCE-892E13B1F282}.Debug-Intrinsics|Any CPU.ActiveCfg = Debug-Intrinsics|Any CPU
@@ -509,7 +499,6 @@ Global
 		{A6CA6CC6-5D7C-4D7F-A0F5-35E14B383B0A} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
 		{EC743D1D-7691-43B7-B9B0-5F2F7018A8F6} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
 		{46F2F967-C23F-4076-858D-33F7DA9BD2DA} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
-		{2D7391C9-8254-4B8F-BF26-FADAF8F02F44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
 		{AD92D96B-0E96-4F22-8DCE-892E13B1F282} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
 		{65D0603E-B96C-4DFC-BDD1-705891B88C18} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
 		{707BB22C-7E5F-497A-8C2F-74578F675705} = {09EADF06-BE25-4228-AB53-95AE3E15B530}

src/Microsoft.ML.Console/Microsoft.ML.Console.csproj

@@ -21,7 +21,6 @@
     <ProjectReference Include="..\Microsoft.ML.OnnxTransform\Microsoft.ML.OnnxTransform.csproj" />
     <ProjectReference Include="..\Microsoft.ML.Onnx\Microsoft.ML.Onnx.csproj" />
     <ProjectReference Include="..\Microsoft.ML.PCA\Microsoft.ML.PCA.csproj" />
-    <ProjectReference Include="..\Microsoft.ML.PipelineInference\Microsoft.ML.PipelineInference.csproj" />
     <ProjectReference Include="..\Microsoft.ML.Recommender\Microsoft.ML.Recommender.csproj" />
     <ProjectReference Include="..\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj" />
     <ProjectReference Include="..\Microsoft.ML.StandardLearners\Microsoft.ML.StandardLearners.csproj" />

src/Microsoft.ML.Legacy/Data/CollectionDataSource.cs

@@ -2,18 +2,20 @@
 // The .NET Foundation licenses this file to you under the MIT license.
 // See the LICENSE file in the project root for more information.
 
-using System.Collections.Generic;
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Api;
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Runtime.EntryPoints;
 using Microsoft.ML.Runtime.Internal.Utilities;
+using System;
+using System.Collections.Generic;
 
 namespace Microsoft.ML.Legacy.Data
 {
     /// <summary>
     /// Creates data source for pipeline based on provided collection of data.
     /// </summary>
+    [Obsolete]
     public static class CollectionDataSource
     {
         /// <summary>

src/Microsoft.ML.Legacy/Data/TextLoader.cs

@@ -2,7 +2,6 @@
 // The .NET Foundation licenses this file to you under the MIT license.
 // See the LICENSE file in the project root for more information.
 
-using Microsoft.CSharp;
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Api;
 using Microsoft.ML.Runtime.Data;
@@ -14,6 +13,7 @@
 
 namespace Microsoft.ML.Legacy.Data
 {
+    [Obsolete]
     public sealed partial class TextLoaderRange
     {
         public TextLoaderRange()
@@ -52,6 +52,7 @@ public TextLoaderRange(int min, int max)
         }
     }
 
+    [Obsolete]
     public sealed partial class TextLoader
     {
         /// <summary>

src/Microsoft.ML.Legacy/ILearningPipelineItem.cs

@@ -5,12 +5,14 @@
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Runtime.EntryPoints;
+using System;
 
 namespace Microsoft.ML.Legacy
 {
     /// <summary>
     /// An item that can be added to the Learning Pipeline.
     /// </summary>
+    [Obsolete]
     public interface ILearningPipelineItem
     {
         ILearningPipelineStep ApplyStep(ILearningPipelineStep previousStep, Experiment experiment);
@@ -25,6 +27,7 @@ public interface ILearningPipelineItem
     /// <summary>
     /// A data loader that can be added to the Learning Pipeline.
     /// </summary>
+    [Obsolete]
     public interface ILearningPipelineLoader : ILearningPipelineItem
     {
         void SetInput(IHostEnvironment environment, Experiment experiment);
@@ -35,16 +38,19 @@ public interface ILearningPipelineLoader : ILearningPipelineItem
     /// This encapsulates an IDataView(input) and ITransformModel(output) object for a transform and
     /// for a learner it will encapsulate IDataView(input) and IPredictorModel(output).
     /// </summary>
+    [Obsolete]
     public interface ILearningPipelineStep
     {
     }
 
+    [Obsolete]
     public interface ILearningPipelineDataStep : ILearningPipelineStep
     {
         Var<IDataView> Data { get; }
         Var<ITransformModel> Model { get; }
     }
 
+    [Obsolete]
     public interface ILearningPipelinePredictorStep : ILearningPipelineStep
     {
         Var<IPredictorModel> Model { get; }

src/Microsoft.ML.Legacy/LearningPipeline.cs

@@ -14,6 +14,7 @@
 
 namespace Microsoft.ML.Legacy
 {
+    [Obsolete]
     public sealed class ScorerPipelineStep : ILearningPipelineDataStep
     {
         public ScorerPipelineStep(Var<IDataView> data, Var<ITransformModel> model)
@@ -44,6 +45,7 @@ public ScorerPipelineStep(Var<IDataView> data, Var<ITransformModel> model)
     /// var model = pipeline.Train&lt;SentimentData, SentimentPrediction&gt;();
     /// </code>
     /// </example>
+    [Obsolete]
     [DebuggerTypeProxy(typeof(LearningPipelineDebugProxy))]
     public class LearningPipeline : ICollection<ILearningPipelineItem>
     {

src/Microsoft.ML.Legacy/LearningPipelineDebugProxy.cs

@@ -17,6 +17,7 @@ namespace Microsoft.ML.Legacy
     /// The debug proxy class for a LearningPipeline.
     /// Displays the current columns and values in the debugger Watch window.
     /// </summary>
+    [Obsolete]
     internal sealed class LearningPipelineDebugProxy
     {
         // load more rows than we display in order for transforms like CategoricalOneHotVectorizer
@@ -221,6 +222,7 @@ private static List<int> GetColIndices(IDataView dataView)
         }
     }
 
+    [Obsolete]
     [DebuggerDisplay("{Name} {Type}{SlotNames}")]
     internal class PipelineItemDebugColumn
     {

src/Microsoft.ML.Legacy/Models/BinaryClassificationEvaluator.cs

@@ -5,9 +5,11 @@
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Legacy.Transforms;
+using System;
 
 namespace Microsoft.ML.Legacy.Models
 {
+    [Obsolete]
     public sealed partial class BinaryClassificationEvaluator
     {
         /// <summary>

src/Microsoft.ML.Legacy/Models/BinaryClassificationMetrics.cs

@@ -14,6 +14,7 @@ namespace Microsoft.ML.Legacy.Models
     /// <summary>
     /// This class contains the overall metrics computed by binary classification evaluators.
     /// </summary>
+    [Obsolete]
     public sealed class BinaryClassificationMetrics
     {
         private BinaryClassificationMetrics()

src/Microsoft.ML.Legacy/Models/ClassificationEvaluator.cs

@@ -5,9 +5,11 @@
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Legacy.Transforms;
+using System;
 
 namespace Microsoft.ML.Legacy.Models
 {
+    [Obsolete]
     public sealed partial class ClassificationEvaluator
     {
         /// <summary>

src/Microsoft.ML.Legacy/Models/ClassificationMetrics.cs

@@ -5,6 +5,7 @@
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Api;
 using Microsoft.ML.Runtime.Data;
+using System;
 using System.Collections.Generic;
 using static Microsoft.ML.Runtime.Data.MetricKinds;
 
@@ -13,6 +14,7 @@ namespace Microsoft.ML.Legacy.Models
     /// <summary>
     /// This class contains the overall metrics computed by multi-class classification evaluators.
     /// </summary>
+    [Obsolete]
     public sealed class ClassificationMetrics
     {
         private ClassificationMetrics()

src/Microsoft.ML.Legacy/Models/ClusterEvaluator.cs

@@ -5,9 +5,11 @@
 using Microsoft.ML.Legacy.Transforms;
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Data;
+using System;
 
 namespace Microsoft.ML.Legacy.Models
 {
+    [Obsolete]
     public sealed partial class ClusterEvaluator
     {
         /// <summary>

src/Microsoft.ML.Legacy/Models/ClusterMetrics.cs

@@ -14,6 +14,7 @@ namespace Microsoft.ML.Legacy.Models
     /// <summary>
     /// This class contains the overall metrics computed by cluster evaluators.
     /// </summary>
+    [Obsolete]
     public sealed class ClusterMetrics
     {
         private ClusterMetrics()

src/Microsoft.ML.Legacy/Models/ConfusionMatrix.cs

@@ -15,6 +15,7 @@ namespace Microsoft.ML.Legacy.Models
     /// Each row of the matrix represents the instances in a predicted class
     /// while each column represents the instances in the actual class.
     /// </summary>
+    [Obsolete]
     public sealed class ConfusionMatrix
     {
         private readonly double[,] _elements;

src/Microsoft.ML.Legacy/Models/CrossValidator.cs

@@ -6,6 +6,7 @@
 using Microsoft.ML.Runtime.Api;
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Runtime.EntryPoints;
+using System;
 using System.Collections.Generic;
 using System.IO;
 
@@ -14,6 +15,7 @@ namespace Microsoft.ML.Legacy.Models
     /// <summary>
     /// Performs cross-validation on a pipeline.
     /// </summary>
+    [Obsolete]
     public sealed partial class CrossValidator
     {
         /// <summary>
@@ -177,6 +179,7 @@ public CrossValidationOutput<TInput, TOutput> CrossValidate<TInput, TOutput>(Lea
         }
     }
 
+    [Obsolete]
     public class CrossValidationOutput<TInput, TOutput>
             where TInput : class
             where TOutput : class, new()

src/Microsoft.ML.Legacy/Models/OneVersusAll.cs

@@ -2,14 +2,15 @@
 // The .NET Foundation licenses this file to you under the MIT license.
 // See the LICENSE file in the project root for more information.
 
-using System;
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Runtime.EntryPoints;
+using System;
 using static Microsoft.ML.Runtime.EntryPoints.CommonInputs;
 
 namespace Microsoft.ML.Legacy.Models
 {
+    [Obsolete]
     public sealed partial class OneVersusAll
     {
         /// <summary>

src/Microsoft.ML.Legacy/Models/OnnxConverter.cs

@@ -3,10 +3,11 @@
 // See the LICENSE file in the project root for more information.
 
 using Microsoft.ML.Runtime;
-using Microsoft.ML.Runtime.Data;
+using System;
 
 namespace Microsoft.ML.Legacy.Models
 {
+    [Obsolete]
     public sealed partial class OnnxConverter
     {
         /// <summary>

src/Microsoft.ML.Legacy/Models/RegressionEvaluator.cs

@@ -5,9 +5,11 @@
 using Microsoft.ML.Runtime;
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Legacy.Transforms;
+using System;
 
 namespace Microsoft.ML.Legacy.Models
 {
+    [Obsolete]
     public sealed partial class RegressionEvaluator
     {
         /// <summary>

src/Microsoft.ML.Legacy/Models/RegressionMetrics.cs

@@ -14,6 +14,7 @@ namespace Microsoft.ML.Legacy.Models
     /// <summary>
     /// This class contains the overall metrics computed by regression evaluators.
     /// </summary>
+    [Obsolete]
     public sealed class RegressionMetrics
     {
         private RegressionMetrics()

src/Microsoft.ML.Legacy/Models/TrainTestEvaluator.cs

@@ -6,6 +6,7 @@
 using Microsoft.ML.Runtime.Api;
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Runtime.EntryPoints;
+using System;
 using System.Collections.Generic;
 using System.IO;
 using System.Linq;
@@ -15,6 +16,7 @@ namespace Microsoft.ML.Legacy.Models
     /// <summary>
     /// Performs Train-Test on a pipeline.
     /// </summary>
+    [Obsolete]
     public sealed partial class TrainTestEvaluator
     {
         /// <summary>
@@ -174,6 +176,7 @@ public TrainTestEvaluatorOutput<TInput, TOutput> TrainTestEvaluate<TInput, TOutp
         }
     }
 
+    [Obsolete]
     public class TrainTestEvaluatorOutput<TInput, TOutput>
             where TInput : class
             where TOutput : class, new()

src/Microsoft.ML.Legacy/PredictionModel.cs

@@ -13,6 +13,7 @@
 
 namespace Microsoft.ML.Legacy
 {
+    [Obsolete]
     public class PredictionModel
     {
         private readonly IHostEnvironment _env;
@@ -167,6 +168,7 @@ public Task WriteAsync(Stream stream)
         }
     }
 
+    [Obsolete]
     public class PredictionModel<TInput, TOutput> : PredictionModel
         where TInput : class
         where TOutput : class, new()

src/Microsoft.ML.Legacy/Runtime/EntryPoints/CrossValidationBinaryMacro.cs

@@ -7,16 +7,20 @@
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Runtime.EntryPoints;
 using Newtonsoft.Json.Linq;
+using System;
 using System.Collections.Generic;
 using System.Linq;
 
+#pragma warning disable 612
 [assembly: LoadableClass(typeof(void), typeof(CrossValidationBinaryMacro), null, typeof(SignatureEntryPointModule), "CrossValidationBinaryMacro")]
+#pragma warning restore 612
 
 namespace Microsoft.ML.Runtime.EntryPoints
 {
     /// <summary>
     /// This macro entry point implements cross validation for binary classification.
     /// </summary>
+    [Obsolete]
     public static class CrossValidationBinaryMacro
     {
         public sealed class SubGraphInput

src/Microsoft.ML.Legacy/Runtime/EntryPoints/CrossValidationMacro.cs

@@ -12,14 +12,17 @@
 using Microsoft.ML.Runtime.Internal.Utilities;
 using Newtonsoft.Json.Linq;
 
+#pragma warning disable 612
 [assembly: LoadableClass(typeof(void), typeof(CrossValidationMacro), null, typeof(SignatureEntryPointModule), "CrossValidationMacro")]
+#pragma warning restore 612
 
 namespace Microsoft.ML.Runtime.EntryPoints
 {
 
     /// <summary>
     /// This macro entry point implements cross validation.
     /// </summary>
+    [Obsolete]
     public static class CrossValidationMacro
     {
         public sealed class SubGraphInput

src/Microsoft.ML.Legacy/Runtime/EntryPoints/FeatureCombiner.cs

@@ -7,7 +7,6 @@
 using Microsoft.ML.Runtime.Data;
 using Microsoft.ML.Runtime.EntryPoints;
 using Microsoft.ML.Runtime.Internal.Utilities;
-using Microsoft.ML.Transforms;
 using Microsoft.ML.Transforms.Categorical;
 using Microsoft.ML.Transforms.Conversions;
 using System;