Target netstandard2.0 for libraries, target net8 for tests, and switch to github actions for CI

.github/workflows/dotnet.yml

@@ -0,0 +1,44 @@
+# yaml-language-server: $schema=https://json.schemastore.org/github-workflow.json
+
+name: dotnet
+
+on:
+  push:
+    branches: [ "master" ]
+  pull_request:
+    branches: [ "master" ]
+  workflow_dispatch:
+    inputs:
+      version:
+        description: 'Release version to tag and create'
+        required: false
+
+env:
+  DOTNET_SKIP_FIRST_TIME_EXPERIENCE: 1
+  DOTNET_NOLOGO: true
+
+jobs:
+  build:
+    strategy:
+      matrix:
+        os: [windows-latest]
+        configuration: [Debug, Release]
+
+    runs-on: ${{ matrix.os }}
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Setup .NET
+      uses: actions/setup-dotnet@v3
+      with:
+        global-json-file: global.json
+    - name: Restore dependencies
+      run: dotnet restore
+    - name: Build
+      run: dotnet build -c ${{ matrix.configuration }} --no-restore 
+    - name: Test
+      run: dotnet test -c ${{ matrix.configuration }} --no-build --verbosity normal --collect:"XPlat Code Coverage"
+    - name: Upload coverage reports to Codecov
+      uses: codecov/codecov-action@v3
+      with:
+        flags: ${{ matrix.os }},${{ matrix.configuration }}

LICENSE.md

@@ -1,19 +1,6 @@
-COPYRIGHT
+MIT License
 
-All contributions by Mads Dabros:
-Copyright (c) 2014, Mads Dabros.
-All rights reserved.
-
-All other contributions:
-Copyright (c) 2017, the respective contributors.
-All rights reserved.
-
-Each contributor holds copyright over their respective contributions.
-The project versioning (Git) records all such contribution source information.
-
-LICENSE
-
-The MIT License (MIT)
+Copyright (c) 2024 mdabros
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
@@ -32,4 +19,3 @@ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
-

README.md

@@ -1,4 +1,7 @@
-[![Build Status](https://machinelearning.visualstudio.com/sharplearning-github-build/_apis/build/status/sharplearning-CI?branchName=master)](https://machinelearning.visualstudio.com/sharplearning-github-build/_build/latest?definitionId=28&branchName=master)
+[![Build Status](https://github.com/mdabros/SharpLearning/actions/workflows/dotnet.yml/badge.svg?branch=master)](https://github.com/mdabros/SharpLearning/actions/workflows/dotnet.yml)
+[![Nuget](https://img.shields.io/nuget/v/SharpLearning.Containers?color=purple)](https://www.nuget.org/packages/SharpLearning.Containers/)
+[![downloads](https://img.shields.io/nuget/dt/SharpLearning.Containers)](https://www.nuget.org/packages/SharpLearning.Containers)
+[![License](https://img.shields.io/github/license/mdabros/SharpLearning)](https://github.com/mdabros/SharpLearning/blob/master/LICENSE.md)
 
 SharpLearning
 =================

SharpLearning.sln

@@ -1,7 +1,7 @@
 
 Microsoft Visual Studio Solution File, Format Version 12.00
-# Visual Studio 15
-VisualStudioVersion = 15.0.26730.3
+# Visual Studio Version 17
+VisualStudioVersion = 17.8.34511.84
 MinimumVisualStudioVersion = 10.0.40219.1
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "SharpLearning.InputOutput.Test", "src\SharpLearning.InputOutput.Test\SharpLearning.InputOutput.Test.csproj", "{9B29211D-9211-4C36-872D-5747D6C51878}"
 EndProject
@@ -55,7 +55,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "SharpLearning.InputOutput",
 EndProject
 Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "Solution Items", "Solution Items", "{55C8F585-6918-4373-A349-EDF167D77FBB}"
 	ProjectSection(SolutionItems) = preProject
-		azure-pipelines.yaml = azure-pipelines.yaml
 		CONTRIBUTING.md = CONTRIBUTING.md
 		src\Directory.Build.props = src\Directory.Build.props
 		README.md = README.md

global.json

@@ -0,0 +1,7 @@
+{
+    "sdk": {
+        "version": "8.0.100",
+        "rollForward": "latestFeature",
+        "allowPrerelease": true
+    }
+}

src/SharpLearning.AdaBoost.Test/SharpLearning.AdaBoost.Test.csproj

@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>

src/SharpLearning.AdaBoost/SharpLearning.AdaBoost.csproj

@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.AdaBoost</PackageId>
     <Description>Provides learning algorithms and models for AdaBoost regression and classification.</Description>

src/SharpLearning.Common.Interfaces/SharpLearning.Common.Interfaces.csproj

@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.Common.Interfaces</PackageId>
     <Description>Provides common interfaces for SharpLearning.</Description>

src/SharpLearning.Containers.Test/SharpLearning.Containers.Test.csproj

@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -21,9 +21,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>

src/SharpLearning.Containers/SharpLearning.Containers.csproj

@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.Containers</PackageId>
     <Description>Provides containers and base extension methods for SharpLearning.</Description>

src/SharpLearning.CrossValidation.Test/SharpLearning.CrossValidation.Test.csproj

@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
     <PackageReference Include="System.ValueTuple" Version="4.5.0" />
   </ItemGroup>
 

src/SharpLearning.CrossValidation/SharpLearning.CrossValidation.csproj

@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.CrossValidation</PackageId>
     <Description>Provides cross-validation, training/test set samplers and learning curves for SharpLearning.</Description>

src/SharpLearning.DecisionTrees.Test/Models/ClassificationDecisionTreeModelTest.cs

@@ -14,7 +14,7 @@ namespace SharpLearning.DecisionTrees.Test.suts
     [TestClass]
     public class ClassificationDecisionTreeModelTest
     {
-        readonly string m_classificationDecisionTreeModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<ClassificationDecisionTreeModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\">\r\n  <Tree xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"2\">\r\n    <d2p1:Nodes z:Id=\"3\" z:Size=\"5\">\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>0</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>4</d2p1:RightIndex>\r\n        <d2p1:Value>20</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>2</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>1</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>3</d2p1:RightIndex>\r\n        <d2p1:Value>2.5</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>0</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>2</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>3</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>0</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>2</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>4</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1</d2p1:Value>\r\n      </d2p1:Node>\r\n    </d2p1:Nodes>\r\n    <d2p1:Probabilities xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"4\" z:Size=\"3\">\r\n      <d3p1:ArrayOfdouble z:Id=\"5\" z:Size=\"2\">\r\n        <d3p1:double>0.33333333333333331</d3p1:double>\r\n        <d3p1:double>0.66666666666666663</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n      <d3p1:ArrayOfdouble z:Id=\"6\" z:Size=\"2\">\r\n        <d3p1:double>0.73913043478260865</d3p1:double>\r\n        <d3p1:double>0.2608695652173913</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n      <d3p1:ArrayOfdouble z:Id=\"7\" z:Size=\"2\">\r\n        <d3p1:double>0.16666666666666666</d3p1:double>\r\n        <d3p1:double>0.83333333333333326</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n    </d2p1:Probabilities>\r\n    <d2p1:TargetNames xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"8\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>1</d3p1:double>\r\n    </d2p1:TargetNames>\r\n    <d2p1:VariableImportance xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"9\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>0.18033248802479571</d3p1:double>\r\n    </d2p1:VariableImportance>\r\n  </Tree>\r\n  <m_variableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"9\" i:nil=\"true\" />\r\n</ClassificationDecisionTreeModel>";
+        readonly string m_classificationDecisionTreeModelString = "<?xml version=\"1.0\" encoding=\"utf-16\"?>\r\n<ClassificationDecisionTreeModel xmlns:i=\"http://www.w3.org/2001/XMLSchema-instance\" z:Id=\"1\" xmlns:z=\"http://schemas.microsoft.com/2003/10/Serialization/\" xmlns=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Models\">\r\n  <Tree xmlns:d2p1=\"http://schemas.datacontract.org/2004/07/SharpLearning.DecisionTrees.Nodes\" z:Id=\"2\">\r\n    <d2p1:Nodes z:Id=\"3\" z:Size=\"5\">\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>0</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>4</d2p1:RightIndex>\r\n        <d2p1:Value>20</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>-1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>2</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>1</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>3</d2p1:RightIndex>\r\n        <d2p1:Value>2.5</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>0</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>2</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>1</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>3</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>0</d2p1:Value>\r\n      </d2p1:Node>\r\n      <d2p1:Node>\r\n        <d2p1:FeatureIndex>-1</d2p1:FeatureIndex>\r\n        <d2p1:LeafProbabilityIndex>2</d2p1:LeafProbabilityIndex>\r\n        <d2p1:LeftIndex>-1</d2p1:LeftIndex>\r\n        <d2p1:NodeIndex>4</d2p1:NodeIndex>\r\n        <d2p1:RightIndex>-1</d2p1:RightIndex>\r\n        <d2p1:Value>1</d2p1:Value>\r\n      </d2p1:Node>\r\n    </d2p1:Nodes>\r\n    <d2p1:Probabilities xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"4\" z:Size=\"3\">\r\n      <d3p1:ArrayOfdouble z:Id=\"5\" z:Size=\"2\">\r\n        <d3p1:double>0.3333333333333333</d3p1:double>\r\n        <d3p1:double>0.6666666666666666</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n      <d3p1:ArrayOfdouble z:Id=\"6\" z:Size=\"2\">\r\n        <d3p1:double>0.7391304347826086</d3p1:double>\r\n        <d3p1:double>0.2608695652173913</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n      <d3p1:ArrayOfdouble z:Id=\"7\" z:Size=\"2\">\r\n        <d3p1:double>0.16666666666666666</d3p1:double>\r\n        <d3p1:double>0.8333333333333333</d3p1:double>\r\n      </d3p1:ArrayOfdouble>\r\n    </d2p1:Probabilities>\r\n    <d2p1:TargetNames xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"8\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>1</d3p1:double>\r\n    </d2p1:TargetNames>\r\n    <d2p1:VariableImportance xmlns:d3p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Id=\"9\" z:Size=\"2\">\r\n      <d3p1:double>0</d3p1:double>\r\n      <d3p1:double>0.1803324880247957</d3p1:double>\r\n    </d2p1:VariableImportance>\r\n  </Tree>\r\n  <m_variableImportance xmlns:d2p1=\"http://schemas.microsoft.com/2003/10/Serialization/Arrays\" z:Ref=\"9\" i:nil=\"true\" />\r\n</ClassificationDecisionTreeModel>";
 
         [TestMethod]
         public void ClassificationDecisionTreeModel_Predict_Single()
@@ -188,7 +188,8 @@ public void ClassificationDecisionTreeModel_Save()
             var writer = new StringWriter();
             sut.Save(() => writer);
 
-            Assert.AreEqual(m_classificationDecisionTreeModelString, writer.ToString());
+            var actual = writer.ToString();
+            Assert.AreEqual(m_classificationDecisionTreeModelString, actual);
         }
 
         [TestMethod]

src/SharpLearning.DecisionTrees.Test/SharpLearning.DecisionTrees.Test.csproj

@@ -1,11 +1,11 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <GenerateAssemblyInfo>true</GenerateAssemblyInfo>
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFramework>netcoreapp2.0</TargetFramework>
+    <TargetFramework>net8</TargetFramework>
 
     <IsPackable>false</IsPackable>
   </PropertyGroup>
@@ -19,9 +19,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.1.1" />
-    <PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
-    <PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.9.0-release-23619-01" />
+    <PackageReference Include="MSTest.TestAdapter" Version="3.2.0-preview.24069.3" />
+    <PackageReference Include="MSTest.TestFramework" Version="3.2.0-preview.24069.3" />
   </ItemGroup>
 
   <ItemGroup>

src/SharpLearning.DecisionTrees/SharpLearning.DecisionTrees.csproj

@@ -5,7 +5,7 @@
   </PropertyGroup>
 
   <PropertyGroup>
-    <TargetFrameworks>netstandard2.0;net461</TargetFrameworks>
+    <TargetFrameworks>netstandard2.0</TargetFrameworks>
     <GeneratePackageOnBuild>false</GeneratePackageOnBuild>
     <PackageId>SharpLearning.DecisionTrees</PackageId>
     <Description>Provides learning algorithms and models for DecisionTree regression and classification.</Description>