mltool

Release 0.2.0.1

Haskell Machine Learning Toolkit includes various methods of supervised learning: linear regression, logistic regression, SVN, neural networks, etc. as well as some methods of unsupervised methods: K-Means and PCA.

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Keywords
library, math, Propose Tags , MachineLearning, MachineLearning.Classification.Binary, MachineLearning.Classification.MultiClass, MachineLearning.Classification.OneVsAll, MachineLearning.Clustering, MachineLearning.LeastSquaresModel, MachineLearning.LogisticModel, MachineLearning.Model, MachineLearning.MultiSvmClassifier, MachineLearning.NeuralNetwork, MachineLearning.NeuralNetwork.Layer, MachineLearning.NeuralNetwork.LogisticLoss, MachineLearning.NeuralNetwork.MultiSvmLoss, MachineLearning.NeuralNetwork.Regularization, MachineLearning.NeuralNetwork.ReluActivation, MachineLearning.NeuralNetwork.SigmoidActivation, MachineLearning.NeuralNetwork.SoftmaxLoss, MachineLearning.NeuralNetwork.TanhActivation, MachineLearning.NeuralNetwork.Topology, MachineLearning.NeuralNetwork.TopologyMaker, MachineLearning.NeuralNetwork.WeightInitialization, MachineLearning.Optimization, MachineLearning.Optimization.GradientDescent, MachineLearning.Optimization.MinibatchGradientDescent, MachineLearning.PCA, MachineLearning.Random, MachineLearning.Regression, MachineLearning.Regularization, MachineLearning.SoftmaxClassifier, MachineLearning.TerminalProgress, MachineLearning.Types, MachineLearning.Utils, Homebrew, MacPorts, source code
License
BSD-3-Clause
Install
cabal install mltool-0.2.0.1

Stats

Dependent repositories
3
Total releases
5
Latest release
First release
SourceRank
4

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Releases

0.1.0.0
0.1.0.1
0.1.0.2
0.2.0.0
0.2.0.1

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