Rename HalLearners assembly and nuget to Microsoft.ML.Mkl.Components.

dotnet · Feb 28, 2019 · 93190e7 · 93190e7
1 parent fbf282d
commit 93190e7
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Showing 42 changed files with 67 additions and 67 deletions.
diff --git a/Microsoft.ML.sln b/Microsoft.ML.sln
@@ -100,7 +100,7 @@ Project("{6EC3EE1D-3C4E-46DD-8F32-0CC8E7565705}") = "Microsoft.ML.FSharp.Tests",
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ImageAnalytics", "src\Microsoft.ML.ImageAnalytics\Microsoft.ML.ImageAnalytics.csproj", "{00E38F77-1E61-4CDF-8F97-1417D4E85053}"
 EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.HalLearners", "src\Microsoft.ML.HalLearners\Microsoft.ML.HalLearners.csproj", "{A7222F41-1CF0-47D9-B80C-B4D77B027A61}"
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Mkl.Components", "src\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.csproj", "{A7222F41-1CF0-47D9-B80C-B4D77B027A61}"
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TensorFlow", "src\Microsoft.ML.TensorFlow\Microsoft.ML.TensorFlow.csproj", "{570A0B8A-5463-44D2-8521-54C0CA4CACA9}"
 EndProject
@@ -142,18 +142,18 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.StaticPipe", "
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TensorFlow.StaticPipe", "src\Microsoft.ML.TensorFlow.StaticPipe\Microsoft.ML.TensorFlow.StaticPipe.csproj", "{F95F7AFB-03AF-4D20-BD75-1740B5FF71D3}"
 EndProject
-Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.HalLearners.StaticPipe", "src\Microsoft.ML.HalLearners.StaticPipe\Microsoft.ML.HalLearners.StaticPipe.csproj", "{2F25EF6A-C754-45BE-AD9E-7DDF46A1B51A}"
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Mkl.Components.StaticPipe", "src\Microsoft.ML.Mkl.Components.StaticPipe\Microsoft.ML.Mkl.Components.StaticPipe.csproj", "{2F25EF6A-C754-45BE-AD9E-7DDF46A1B51A}"
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.OnnxTransformer.StaticPipe", "src\Microsoft.ML.OnnxTransformer.StaticPipe\Microsoft.ML.OnnxTransformer.StaticPipe.csproj", "{D1324668-9568-40F4-AA55-30A9A516C230}"
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.LightGBM.StaticPipe", "src\Microsoft.ML.LightGBM.StaticPipe\Microsoft.ML.LightGBM.StaticPipe.csproj", "{22C51B08-ACAE-47B2-A312-462DC239A23B}"
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TimeSeries.StaticPipe", "src\Microsoft.ML.TimeSeries.StaticPipe\Microsoft.ML.TimeSeries.StaticPipe.csproj", "{06A147ED-15EA-4106-9105-9B745125B470}"
 EndProject
-Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Microsoft.ML.HalLearners", "Microsoft.ML.HalLearners", "{63006A14-B924-48C5-83C9-CFE9DA22B01F}"
+Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Microsoft.ML.Mkl.Components", "Microsoft.ML.Mkl.Components", "{63006A14-B924-48C5-83C9-CFE9DA22B01F}"
 	ProjectSection(SolutionItems) = preProject
-		pkg\Microsoft.ML.HalLearners\Microsoft.ML.HalLearners.nupkgproj = pkg\Microsoft.ML.HalLearners\Microsoft.ML.HalLearners.nupkgproj
-		pkg\Microsoft.ML.HalLearners\Microsoft.ML.HalLearners.symbols.nupkgproj = pkg\Microsoft.ML.HalLearners\Microsoft.ML.HalLearners.symbols.nupkgproj
+		pkg\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.nupkgproj = pkg\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.nupkgproj
+		pkg\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.symbols.nupkgproj = pkg\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.symbols.nupkgproj
 	EndProjectSection
 EndProject
 Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Microsoft.ML.ImageAnalytics", "Microsoft.ML.ImageAnalytics", "{1229F799-37F0-4282-B9F0-74BFA97CC362}"

diff --git a/docs/samples/Microsoft.ML.Samples/Dynamic/PermutationFeatureImportance/PFIHelper.cs b/docs/samples/Microsoft.ML.Samples/Dynamic/PermutationFeatureImportance/PFIHelper.cs
@@ -3,7 +3,7 @@
 using Microsoft.Data.DataView;
 using Microsoft.ML.Trainers;
 using Microsoft.ML.SamplesUtils;
-using Microsoft.ML.Trainers.HalLearners;
+using Microsoft.ML.Trainers.Mkl;
 
 namespace Microsoft.ML.Samples.Dynamic.PermutationFeatureImportance
 {

diff --git a/...oft.ML.Samples/Dynamic/Trainers/BinaryClassification/SymbolicStochasticGradientDescent.cs b/...oft.ML.Samples/Dynamic/Trainers/BinaryClassification/SymbolicStochasticGradientDescent.cs
@@ -2,7 +2,7 @@
 {
     public static class SymbolicStochasticGradientDescent
     {
-        // This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.HalLearners/">Microsoft.ML.HalLearners</a>.
+        // This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.Mkl.Components/">Microsoft.ML.Mkl.Components</a>.
         // In this example we will use the adult income dataset. The goal is to predict
         // if a person's income is above $50K or not, based on demographic information about that person.
         // For more details about this dataset, please see https://archive.ics.uci.edu/ml/datasets/adult

diff --git a/...les/Dynamic/Trainers/BinaryClassification/SymbolicStochasticGradientDescentWithOptions.cs b/...les/Dynamic/Trainers/BinaryClassification/SymbolicStochasticGradientDescentWithOptions.cs
@@ -2,7 +2,7 @@
 {
     public static class SymbolicStochasticGradientDescentWithOptions
     {
-        // This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.HalLearners/">Microsoft.ML.HalLearners</a>.
+        // This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.Mkl.Components/">Microsoft.ML.Mkl.Components</a>.
         // In this example we will use the adult income dataset. The goal is to predict
         // if a person's income is above $50K or not, based on demographic information about that person.
         // For more details about this dataset, please see https://archive.ics.uci.edu/ml/datasets/adult
@@ -20,7 +20,7 @@ public static void Example()
             var split = mlContext.BinaryClassification.TrainTestSplit(data, testFraction: 0.1);
             // Create data training pipeline
             var pipeline = mlContext.BinaryClassification.Trainers.SymbolicStochasticGradientDescent(
-                    new ML.Trainers.HalLearners.SymSgdClassificationTrainer.Options()
+                    new ML.Trainers.Mkl.SymSgdClassificationTrainer.Options()
                     {
                         LearningRate = 0.2f,
                         NumberOfIterations = 10,

diff --git a/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/OrdinaryLeastSquares.cs b/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/OrdinaryLeastSquares.cs
@@ -6,7 +6,7 @@ namespace Microsoft.ML.Samples.Dynamic.Trainers.Regression
 {
     public static class OrdinaryLeastSquares
     {
-        // This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.HalLearners/">Microsoft.ML.HalLearners</a>.
+        // This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.Mkl.Components/">Microsoft.ML.Mkl.Components</a>.
         // In this examples we will use the housing price dataset. The goal is to predict median home value.
         // For more details about this dataset, please see https://archive.ics.uci.edu/ml/machine-learning-databases/housing/
         public static void Example()

diff --git a/...mples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/OrdinaryLeastSquaresWithOptions.cs b/...mples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/OrdinaryLeastSquaresWithOptions.cs
@@ -1,13 +1,13 @@
 using System;
 using Microsoft.ML.Data;
 using Microsoft.ML.SamplesUtils;
-using Microsoft.ML.Trainers.HalLearners;
+using Microsoft.ML.Trainers.Mkl;
 
 namespace Microsoft.ML.Samples.Dynamic.Trainers.Regression
 {
     public static class OrdinaryLeastSquaresWithOptions
     {
-        // This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.HalLearners/">Microsoft.ML.HalLearners</a>.
+        // This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.Mkl.Components/">Microsoft.ML.Mkl.Components</a>.
         // In this examples we will use the housing price dataset. The goal is to predict median home value.
         // For more details about this dataset, please see https://archive.ics.uci.edu/ml/machine-learning-databases/housing/
         public static void Example()

diff --git a/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Projection/VectorWhiten.cs b/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Projection/VectorWhiten.cs
@@ -8,7 +8,7 @@ namespace Microsoft.ML.Samples.Dynamic
     public sealed class VectorWhiten
     {
 
-        /// This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.HalLearners/">Microsoft.ML.HalLearners</a>.
+        /// This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.Mkl.Components/">Microsoft.ML.Mkl.Components</a>.
         public static void Example()
         {
             // Create a new ML context, for ML.NET operations. It can be used for exception tracking and logging, 

diff --git a/...mples/Microsoft.ML.Samples/Dynamic/Transforms/Projection/VectorWhitenWithColumnOptions.cs b/...mples/Microsoft.ML.Samples/Dynamic/Transforms/Projection/VectorWhitenWithColumnOptions.cs
@@ -7,7 +7,7 @@ namespace Microsoft.ML.Samples.Dynamic
 {
     public sealed class VectorWhitenWithColumnOptions
     {
-        /// This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.HalLearners/">Microsoft.ML.HalLearners</a>.
+        /// This example requires installation of additional nuget package <a href="https://www.nuget.org/packages/Microsoft.ML.Mkl.Components/">Microsoft.ML.Mkl.Components</a>.
         public static void Example()
         {
             // Create a new ML context, for ML.NET operations. It can be used for exception tracking and logging, 

diff --git a/docs/samples/Microsoft.ML.Samples/Microsoft.ML.Samples.csproj b/docs/samples/Microsoft.ML.Samples/Microsoft.ML.Samples.csproj
@@ -6,7 +6,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <ProjectReference Include="..\..\..\src\Microsoft.ML.HalLearners\Microsoft.ML.HalLearners.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.csproj" />
     <ProjectReference Include="..\..\..\src\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
     <ProjectReference Include="..\..\..\src\Microsoft.ML.LightGBM.StaticPipe\Microsoft.ML.LightGBM.StaticPipe.csproj" />
     <ProjectReference Include="..\..\..\src\Microsoft.ML.OnnxTransformer\Microsoft.ML.OnnxTransformer.csproj" />

diff --git a/pkg/Microsoft.ML.HalLearners/Microsoft.ML.HalLearners.symbols.nupkgproj b/pkg/Microsoft.ML.HalLearners/Microsoft.ML.HalLearners.symbols.nupkgproj
diff --git a/...arners/Microsoft.ML.HalLearners.nupkgproj → ...nts/Microsoft.ML.Mkl.Components.nupkgproj b/...arners/Microsoft.ML.HalLearners.nupkgproj → ...nts/Microsoft.ML.Mkl.Components.nupkgproj
diff --git a/pkg/Microsoft.ML.Mkl.Components/Microsoft.ML.Mkl.Components.symbols.nupkgproj b/pkg/Microsoft.ML.Mkl.Components/Microsoft.ML.Mkl.Components.symbols.nupkgproj
@@ -0,0 +1,5 @@
+<Project DefaultTargets="Pack">
+
+  <Import Project="Microsoft.ML.Mkl.Components.nupkgproj" />
+
+</Project>
diff --git a/src/Microsoft.ML.Console/Microsoft.ML.Console.csproj b/src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
@@ -13,7 +13,7 @@
     <ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
     <ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
     <ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
-    <ProjectReference Include="..\Microsoft.ML.HalLearners\Microsoft.ML.HalLearners.csproj" />
+    <ProjectReference Include="..\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.csproj" />
     <ProjectReference Include="..\Microsoft.ML.ImageAnalytics\Microsoft.ML.ImageAnalytics.csproj" />
     <ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
     <ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />

diff --git a/src/Microsoft.ML.Core/Properties/AssemblyInfo.cs b/src/Microsoft.ML.Core/Properties/AssemblyInfo.cs
@@ -23,7 +23,7 @@
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Api" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Ensemble" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.FastTree" + PublicKey.Value)]
-[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.HalLearners" + PublicKey.Value)]
+[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Mkl.Components" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.KMeansClustering" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.LightGBM" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OnnxConverter" + PublicKey.Value)]
@@ -42,7 +42,7 @@
 
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.StaticPipe" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.TensorFlow.StaticPipe" + PublicKey.Value)]
-[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.HalLearners.StaticPipe" + PublicKey.Value)]
+[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Mkl.Components.StaticPipe" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OnnxTransformer.StaticPipe" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.LightGBM.StaticPipe" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.TimeSeries.StaticPipe" + PublicKey.Value)]

diff --git a/src/Microsoft.ML.CpuMath/AssemblyInfo.cs b/src/Microsoft.ML.CpuMath/AssemblyInfo.cs
@@ -9,7 +9,7 @@
 [assembly: InternalsVisibleTo("Microsoft.ML.CpuMath.UnitTests.netcoreapp" + PublicKey.TestValue)]
 [assembly: InternalsVisibleTo("Microsoft.ML.Data" + PublicKey.Value)]
 [assembly: InternalsVisibleTo("Microsoft.ML.FastTree" + PublicKey.Value)]
-[assembly: InternalsVisibleTo("Microsoft.ML.HalLearners" + PublicKey.Value)]
+[assembly: InternalsVisibleTo("Microsoft.ML.Mkl.Components" + PublicKey.Value)]
 [assembly: InternalsVisibleTo("Microsoft.ML.KMeansClustering" + PublicKey.Value)]
 [assembly: InternalsVisibleTo("Microsoft.ML.PCA" + PublicKey.Value)]
 [assembly: InternalsVisibleTo("Microsoft.ML.StandardLearners" + PublicKey.Value)]

diff --git a/src/Microsoft.ML.Data/Properties/AssemblyInfo.cs b/src/Microsoft.ML.Data/Properties/AssemblyInfo.cs
@@ -23,7 +23,7 @@
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Api" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Ensemble" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.FastTree" + PublicKey.Value)]
-[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.HalLearners" + PublicKey.Value)]
+[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Mkl.Components" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.KMeansClustering" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.LightGBM" + PublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.OnnxConverter" + PublicKey.Value)]

diff --git a/...icrosoft.ML.HalLearners.StaticPipe.csproj → ...osoft.ML.Mkl.Components.StaticPipe.csproj b/...icrosoft.ML.HalLearners.StaticPipe.csproj → ...osoft.ML.Mkl.Components.StaticPipe.csproj
@@ -6,7 +6,7 @@
 
   <ItemGroup>
     <ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
-    <ProjectReference Include="..\Microsoft.ML.HalLearners\Microsoft.ML.HalLearners.csproj" />
+    <ProjectReference Include="..\Microsoft.ML.Mkl.Components\Microsoft.ML.Mkl.Components.csproj" />
     <ProjectReference Include="..\Microsoft.ML.StaticPipe\Microsoft.ML.StaticPipe.csproj" />
   </ItemGroup>
 

diff --git a/...icPipe/VectorWhiteningStaticExtensions.cs → ...icPipe/VectorWhiteningStaticExtensions.cs b/...icPipe/VectorWhiteningStaticExtensions.cs → ...icPipe/VectorWhiteningStaticExtensions.cs
@@ -6,7 +6,7 @@
 using Microsoft.ML.StaticPipe;
 using Microsoft.ML.Transforms;
 
-namespace Microsoft.ML.HalLearners.StaticPipe
+namespace Microsoft.ML.Mkl.Components.StaticPipe
 {
     /// <summary>
     /// Extensions for statically typed Whitening estimator.
@@ -55,7 +55,7 @@ public override IEstimator<ITransformer> Reconcile(IHostEnvironment env,
             }
         }
 
-        /// <include file='../Microsoft.ML.HalLearners/doc.xml' path='doc/members/member[@name="Whitening"]/*'/>
+        /// <include file='../Microsoft.ML.Mkl.Components/doc.xml' path='doc/members/member[@name="Whitening"]/*'/>
         /// <param name="input">The column to which the transform will be applied.</param>
         /// <param name="eps">Whitening constant, prevents division by zero when scaling the data by inverse of eigenvalues.</param>
         /// <param name="maxRows">Maximum number of rows used to train the transform.</param>
@@ -66,7 +66,7 @@ public static Vector<float> PcaWhitening(this Vector<float> input,
             int pcaNum = VectorWhiteningEstimator.Defaults.PcaNum)
             => new OutPipelineColumn(input, WhiteningKind.Pca, eps, maxRows, pcaNum);
 
-        /// <include file='../Microsoft.ML.HalLearners/doc.xml' path='doc/members/member[@name="Whitening"]/*'/>
+        /// <include file='../Microsoft.ML.Mkl.Components/doc.xml' path='doc/members/member[@name="Whitening"]/*'/>
         /// <param name="input">The column to which the transform will be applied.</param>
         /// <param name="eps">Whitening constant, prevents division by zero.</param>
         /// <param name="maxRows">Maximum number of rows used to train the transform.</param>

diff --git a/...earners/ComputeLRTrainingStdThroughHal.cs → ...ponents/ComputeLRTrainingStdThroughHal.cs b/...earners/ComputeLRTrainingStdThroughHal.cs → ...ponents/ComputeLRTrainingStdThroughHal.cs
@@ -5,13 +5,13 @@
 using System;
 using Microsoft.ML.Data;
 using Microsoft.ML.Internal.Utilities;
-using Microsoft.ML.Trainers.HalLearners;
+using Microsoft.ML.Trainers.Mkl;
 
 namespace Microsoft.ML.Trainers
 {
-    using Mkl = OlsLinearRegressionTrainer.Mkl;
+    using MklOls = OlsLinearRegressionTrainer.Mkl;
 
-    public sealed class ComputeLRTrainingStdThroughHal : ComputeLRTrainingStd
+    public sealed class ComputeLRTrainingStdThroughMkl : ComputeLRTrainingStd
     {
         /// <summary>
         /// Computes the standart deviation matrix of each of the non-zero training weights, needed to calculate further the standart deviation,
@@ -36,12 +36,12 @@ public override VBuffer<float> ComputeStd(double[] hessian, int[] weightIndices,
             try
             {
                 // First, find the Cholesky decomposition LL' of the Hessian.
-                Mkl.Pptrf(Mkl.Layout.RowMajor, Mkl.UpLo.Lo, numSelectedParams, hessian);
+                MklOls.Pptrf(MklOls.Layout.RowMajor, MklOls.UpLo.Lo, numSelectedParams, hessian);
                 // Note that hessian is already modified at this point. It is no longer the original Hessian,
                 // but instead represents the Cholesky decomposition L.
                 // Also note that the following routine is supposed to consume the Cholesky decomposition L instead
                 // of the original information matrix.
-                Mkl.Pptri(Mkl.Layout.RowMajor, Mkl.UpLo.Lo, numSelectedParams, hessian);
+                MklOls.Pptri(MklOls.Layout.RowMajor, MklOls.UpLo.Lo, numSelectedParams, hessian);
                 // At this point, hessian should contain the inverse of the original Hessian matrix.
                 // Swap hessian with invHessian to avoid confusion in the following context.
                 Utils.Swap(ref hessian, ref invHessian);

diff --git a/...lLearners/Microsoft.ML.HalLearners.csproj → ...onents/Microsoft.ML.Mkl.Components.csproj b/...lLearners/Microsoft.ML.HalLearners.csproj → ...onents/Microsoft.ML.Mkl.Components.csproj
@@ -2,7 +2,7 @@
 
   <PropertyGroup>
     <TargetFramework>netstandard2.0</TargetFramework>
-    <IncludeInPackage>Microsoft.ML.HalLearners</IncludeInPackage>
+    <IncludeInPackage>Microsoft.ML.Mkl.Components</IncludeInPackage>
     <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
   </PropertyGroup>
 

diff --git a/...soft.ML.HalLearners/HalLearnersCatalog.cs → ...ML.Mkl.Components/MklComponentsCatalog.cs b/...soft.ML.HalLearners/HalLearnersCatalog.cs → ...ML.Mkl.Components/MklComponentsCatalog.cs
@@ -3,15 +3,15 @@
 // See the LICENSE file in the project root for more information.
 
 using Microsoft.ML.Data;
-using Microsoft.ML.Trainers.HalLearners;
+using Microsoft.ML.Trainers.Mkl;
 using Microsoft.ML.Transforms;
 
 namespace Microsoft.ML
 {
     /// <summary>
     /// The trainer catalog extensions for the <see cref="OlsLinearRegressionTrainer"/> and <see cref="SymSgdClassificationTrainer"/>.
     /// </summary>
-    public static class HalLearnersCatalog
+    public static class MklComponentsCatalog
     {
         /// <summary>
         /// Predict a target using a linear regression model trained with the <see cref="OlsLinearRegressionTrainer"/>.

diff --git a/...oft.ML.HalLearners/OlsLinearRegression.cs → ....ML.Mkl.Components/OlsLinearRegression.cs b/...oft.ML.HalLearners/OlsLinearRegression.cs → ....ML.Mkl.Components/OlsLinearRegression.cs
@@ -15,7 +15,7 @@
 using Microsoft.ML.Internal.Internallearn;
 using Microsoft.ML.Internal.Utilities;
 using Microsoft.ML.Model;
-using Microsoft.ML.Trainers.HalLearners;
+using Microsoft.ML.Trainers.Mkl;
 
 [assembly: LoadableClass(OlsLinearRegressionTrainer.Summary, typeof(OlsLinearRegressionTrainer), typeof(OlsLinearRegressionTrainer.Options),
     new[] { typeof(SignatureRegressorTrainer), typeof(SignatureTrainer), typeof(SignatureFeatureScorerTrainer) },
@@ -29,7 +29,7 @@
 
 [assembly: LoadableClass(typeof(void), typeof(OlsLinearRegressionTrainer), null, typeof(SignatureEntryPointModule), OlsLinearRegressionTrainer.LoadNameValue)]
 
-namespace Microsoft.ML.Trainers.HalLearners
+namespace Microsoft.ML.Trainers.Mkl
 {
     /// <include file='doc.xml' path='doc/members/member[@name="OLS"]/*' />
     public sealed class OlsLinearRegressionTrainer : TrainerEstimatorBase<RegressionPredictionTransformer<OlsLinearRegressionModelParameters>, OlsLinearRegressionModelParameters>

diff --git a/...ML.HalLearners/Properties/AssemblyInfo.cs → ...Mkl.Components/Properties/AssemblyInfo.cs b/...ML.HalLearners/Properties/AssemblyInfo.cs → ...Mkl.Components/Properties/AssemblyInfo.cs
@@ -7,7 +7,7 @@
 
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Tests" + PublicKey.TestValue)]
 
-[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.HalLearners.StaticPipe" + PublicKey.Value)]
+[assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Mkl.Components.StaticPipe" + PublicKey.Value)]
 
 [assembly: InternalsVisibleTo(assemblyName: "RunTests" + InternalPublicKey.Value)]
 [assembly: InternalsVisibleTo(assemblyName: "Microsoft.ML.Internal.MetaLinearLearner" + InternalPublicKey.Value)]