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mltool.cabal
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name: mltool
version: 0.2.0.1
synopsis: Machine Learning Toolbox
description:
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.
homepage: https://github.com/aligusnet/mltool
license: BSD3
license-file: LICENSE
author: Alexander Ignatyev
maintainer: [email protected]
copyright: (c) 2016-2018 Alexander Ignatyev
category: math
build-type: Simple
extra-source-files: README.md
cabal-version: >=1.10
library
hs-source-dirs: src
exposed-modules: MachineLearning
, MachineLearning.Optimization
, MachineLearning.Optimization.GradientDescent
, MachineLearning.Optimization.MinibatchGradientDescent
, MachineLearning.Regression
, MachineLearning.Model
, MachineLearning.LeastSquaresModel
, MachineLearning.LogisticModel
, MachineLearning.MultiSvmClassifier
, MachineLearning.SoftmaxClassifier
, MachineLearning.Classification.Binary
, MachineLearning.Classification.OneVsAll
, MachineLearning.Classification.MultiClass
, MachineLearning.NeuralNetwork
, MachineLearning.NeuralNetwork.Layer
, MachineLearning.NeuralNetwork.Regularization
, MachineLearning.NeuralNetwork.ReluActivation
, MachineLearning.NeuralNetwork.TanhActivation
, MachineLearning.NeuralNetwork.SigmoidActivation
, MachineLearning.NeuralNetwork.MultiSvmLoss
, MachineLearning.NeuralNetwork.SoftmaxLoss
, MachineLearning.NeuralNetwork.LogisticLoss
, MachineLearning.NeuralNetwork.Topology
, MachineLearning.NeuralNetwork.TopologyMaker
, MachineLearning.NeuralNetwork.WeightInitialization
, MachineLearning.PCA
, MachineLearning.Clustering
, MachineLearning.TerminalProgress
, MachineLearning.Regularization
, MachineLearning.Random
, MachineLearning.Types
, MachineLearning.Utils
other-modules: MachineLearning.Classification.Internal
build-depends: base >= 4.7 && < 5
, vector >= 0.11
, hmatrix >= 0.18.0.0
, hmatrix-gsl >= 0.17
, hmatrix-morpheus >= 0.1.1.0
, ascii-progress >= 0.3.3.0
, deepseq
, random >= 1.1
, MonadRandom >= 0.4.2.3
default-language: Haskell2010
test-suite mltool-test
type: exitcode-stdio-1.0
hs-source-dirs: test
main-is: Main.hs
other-modules: MachineLearning.Classification.BinaryTest
, MachineLearning.Classification.OneVsAllTest
, MachineLearning.ClusteringTest
, MachineLearning.DataSets
, MachineLearning.LeastSquaresModelTest
, MachineLearning.LogisticModelTest
, MachineLearning.MultiSvmClassifierTest
, MachineLearning.NeuralNetwork.TopologyTest
, MachineLearning.NeuralNetwork.WeightInitializationTest
, MachineLearning.NeuralNetworkTest
, MachineLearning.Optimization.GradientDescentTest
, MachineLearning.Optimization.MinibatchGradientDescentTest
, MachineLearning.PCATest
, MachineLearning.RandomTest
, MachineLearning.RegressionTest
, MachineLearning.SoftmaxClassifierTest
, MachineLearning.UtilsTest
, MachineLearningTest
, Test.HUnit.Approx
, Test.HUnit.Plus
build-depends: base
, mltool
, vector >= 0.11
, hmatrix >= 0.18.0.0
, hmatrix-morpheus >= 0.1.1.0
, random >= 1.1
, MonadRandom >= 0.4.2.3
, test-framework >= 0.8.1.1
, test-framework-hunit >= 0.3.0.2
, test-framework-quickcheck2 >= 0.3.0.3
, HUnit >= 1.3.1.1
ghc-options: -threaded -rtsopts -with-rtsopts=-N
default-language: Haskell2010
source-repository head
type: git
location: https://github.com/aligusnet/mltool.git