Download Machine Learning for .NET
Description
Machine Learning Library for .NET. Initial inclusions will be binary and multi-class classification as well as standard clustering algorithms.
Source Files
The download file machine.zip has the following entries.
.hgignore/* w w w . j av a 2s .c o m*/
LocalTestRun.testrunconfig
ga.Examples/HelloWorld/HelloWorld.csproj
ga.Examples/HelloWorld/Program.cs
ga.Examples/HelloWorld/Properties/AssemblyInfo.cs
ga.Examples/TSP/Form1.Designer.cs
ga.Examples/TSP/Form1.cs
ga.Examples/TSP/Form1.resx
ga.Examples/TSP/Program.cs
ga.Examples/TSP/Properties/AssemblyInfo.cs
ga.Examples/TSP/Properties/Resources.Designer.cs
ga.Examples/TSP/Properties/Resources.resx
ga.Examples/TSP/Properties/Settings.Designer.cs
ga.Examples/TSP/Properties/Settings.settings
ga.Examples/TSP/TSP.csproj
ga.Examples/TSP/app.config
ga/Algorithm.cs
ga/Chromosome.cs
ga/Properties/AssemblyInfo.cs
ga/ga.csproj
ml.Tests/CalculusTests.cs
ml.Tests/ConverterTests.cs
ml.Tests/DecisionTreeTests.cs
ml.Tests/HClusterTests.cs
ml.Tests/ImpurityTests.cs
ml.Tests/KMeansTests.cs
ml.Tests/LinearRegressionTests.cs
ml.Tests/MatrixTests.cs
ml.Tests/Model/Fake.cs
ml.Tests/Model/Feed.cs
ml.Tests/Model/Student.cs
ml.Tests/Model/StudentGrade.cs
ml.Tests/Model/Travel.cs
ml.Tests/ObjectConverterTests.cs
ml.Tests/PerceptronTests.cs
ml.Tests/PriorityQueueTests.cs
ml.Tests/Properties/AssemblyInfo.cs
ml.Tests/SerializationTests.cs
ml.Tests/StringFeatureTests.cs
ml.Tests/VectorTests.cs
ml.Tests/ml.Tests.csproj
ml.Tests/ml.Tests.csproj.vspscc
ml.sln
ml.vsmdi
ml/Attributes/AttributeType.cs
ml/Attributes/FeatureAttribute.cs
ml/Attributes/LabelAttribute.cs
ml/Attributes/MainAttribute.cs
ml/Attributes/Property.cs
ml/Attributes/StringFeatureAttribute.cs
ml/Attributes/StringProperty.cs
ml/Attributes/StringType.cs
ml/Attributes/TypeDescription.cs
ml/Conversion/Converter.cs
ml/Converter.cs
ml/Exceptions/SingularMatrixException.cs
ml/Math/Eigen.cs
ml/Math/EigenDecomposition.cs
ml/Math/Entropy.cs
ml/Math/Error.cs
ml/Math/Gini.cs
ml/Math/Helper.cs
ml/Math/Impurity.cs
ml/Math/ImpurityExtensions.cs
ml/Math/MLRandom.cs
ml/Math/Matrix.cs
ml/Math/MatrixExtensions.cs
ml/Math/MatrixOps.cs
ml/Math/OptimizeBy.cs
ml/Math/PriorityQueue.cs
ml/Math/SingularValueDecomposition.cs
ml/Math/Vector.cs
ml/Math/VectorExtensions.cs
ml/Math/VectorType.cs
ml/Metrics/CosineDistance.cs
ml/Metrics/CosineSimilarity.cs
ml/Metrics/EuclidianDistance.cs
ml/Metrics/EuclidianSimilarity.cs
ml/Metrics/HammingDistance.cs
ml/Metrics/IDistance.cs
ml/Metrics/ISimilarity.cs
ml/Metrics/JaccardDistance.cs
ml/Metrics/JaccardSimilarity.cs
ml/Metrics/ManhattanDistance.cs
ml/Metrics/PearsonCorrelation.cs
ml/Metrics/TanimotoCoefficient.cs
ml/Properties/AssemblyInfo.cs
ml/Supervised/DecisionTreeModel.cs
ml/Supervised/DecisionTreePredictor.cs
ml/Supervised/Example.cs
ml/Supervised/IModel.cs
ml/Supervised/IPredict.cs
ml/Supervised/KNNModel.cs
ml/Supervised/KNNPredictor.cs
ml/Supervised/KernelPerceptronModel.cs
ml/Supervised/KernelPerceptronPredictor.cs
ml/Supervised/KernelType.cs
ml/Supervised/Learner.cs
ml/Supervised/LinearRegressionModel.cs
ml/Supervised/LinearRegressionPredictor.cs
ml/Supervised/Node.cs
ml/Supervised/PerceptronModel.cs
ml/Supervised/PerceptronPredictor.cs
ml/Unsupervised/Cluster.cs
ml/Unsupervised/HClusterModel.cs
ml/Unsupervised/KMeans.cs
ml/Unsupervised/Linkers/AverageLinker.cs
ml/Unsupervised/Linkers/CentroidLinker.cs
ml/Unsupervised/Linkers/CompleteLinker.cs
ml/Unsupervised/Linkers/ILinker.cs
ml/Unsupervised/Linkers/SingleLinker.cs
ml/ml.csproj
ml/ml.csproj.vspscc
nn.Examples/XorNet.cs
nn.Examples/XorNet.csproj
nn.Examples/XorNet.sln
nn/Activation.cs
nn/AssemblyInfo.cs
nn/BackProp.cs
nn/BaseNet.cs
nn/FeedForward.cs
nn/Layer.cs
nn/Neuron.cs
nn/nn.csproj
nn/nn.sln
nuget/machine.0.5.0.nupkg
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