neural-0.1.0.0: neural.cabal

name: neural
version: 0.1.0.0
cabal-version: >=1.10
build-type: Simple
license: MIT
license-file: LICENSE
copyright: Copyright: (c) 2016 Dr. Lars Bruenjes
maintainer: brunjlar@gmail.com
homepage: http://github.com/brunjlar/neural
synopsis: Neural Networks in native Haskell
description:
    Please see README.md
category: Machine Learning
author: Lars Bruenjes

source-repository head
    type: git
    location: https://github.com/brunjlar/neural.git

library
    exposed-modules:
        Numeric.Neural
        Numeric.Neural.Layer
        Numeric.Neural.Model
        Numeric.Neural.Normalization
        Numeric.Neural.Pipes
        Data.MyPrelude
        Data.Utils
        Data.Utils.Analytic
        Data.Utils.Arrow
        Data.Utils.List
        Data.Utils.Matrix
        Data.Utils.Random
        Data.Utils.Stack
        Data.Utils.Statistics
        Data.Utils.Traversable
        Data.Utils.Vector
    build-depends:
        base >=4.7 && <5,
        ad >=4.3.2 && <4.4,
        array >=0.5.1.0 && <0.6,
        deepseq >=1.4.1.1 && <1.5,
        directory >=1.2.2.0 && <1.3,
        filepath >=1.4.0.0 && <1.5,
        ghc-typelits-natnormalise >=0.4.1 && <0.5,
        hspec >=2.2.2 && <2.3,
        lens ==4.13.*,
        MonadRandom >=0.4.2.2 && <0.5,
        mtl >=2.2.1 && <2.3,
        parallel >=3.2.1.0 && <3.3,
        pipes >=4.1.8 && <4.2,
        profunctors ==5.2.*,
        STMonadTrans >=0.3.3 && <0.4,
        text >=1.2.2.1 && <1.3,
        transformers >=0.4.2.0 && <0.5,
        typelits-witnesses >=0.2.0.0 && <0.3,
        vector >=0.11.0.0 && <0.12
    default-language: Haskell2010
    hs-source-dirs: src
    ghc-options: -Wall -fexcess-precision -optc-O3 -optc-ffast-math

executable iris
    main-is: iris.hs
    build-depends:
        base >=4.7 && <5,
        attoparsec >=0.13.0.1 && <0.14,
        neural >=0.1.0.0 && <0.2,
        text >=1.2.2.1 && <1.3
    default-language: Haskell2010
    hs-source-dirs: examples/iris
    ghc-options: -Wall -threaded -rtsopts -with-rtsopts=-N -fexcess-precision -optc-O3 -optc-ffast-math

executable sqrt
    main-is: sqrt.hs
    build-depends:
        base >=4.7 && <5,
        MonadRandom >=0.4.2.2 && <0.5,
        neural >=0.1.0.0 && <0.2
    default-language: Haskell2010
    hs-source-dirs: examples/sqrt
    ghc-options: -Wall -threaded -rtsopts -with-rtsopts=-N -fexcess-precision -optc-O3 -optc-ffast-math

test-suite neural-test
    type: exitcode-stdio-1.0
    main-is: Spec.hs
    build-depends:
        base >=4.7 && <5,
        hspec >=2.2.2 && <2.3,
        MonadRandom >=0.4.2.2 && <0.5,
        neural >=0.1.0.0 && <0.2
    default-language: Haskell2010
    hs-source-dirs: test
    other-modules:
        Utils.MatrixSpec
        Utils.VectorSpec
    ghc-options: -Wall -threaded -rtsopts -with-rtsopts=-N -fexcess-precision -optc-O3 -optc-ffast-math
test-suite neural-doctest
    type: exitcode-stdio-1.0
    main-is: doctest.hs
    build-depends:
        base >=4.7 && <5,
        doctest >=0.10.1 && <0.11,
        neural >=0.1.0.0 && <0.2
    default-language: Haskell2010
    hs-source-dirs: doctest
    ghc-options: -Wall -threaded -rtsopts -with-rtsopts=-N -fexcess-precision -optc-O3 -optc-ffast-math