haskell-ml-0.4.0: haskell-ml.cabal
name: haskell-ml
version: 0.4.0
synopsis: Machine learning in Haskell
description: Machine learning in Haskell
license: BSD3
license-file: LICENSE
author: David Banas
maintainer: capn.freako@gmail.com
copyright: 2018 David Banas
category: Machine Learning
build-type: Simple
extra-source-files: README.md
stack.yaml
.gitignore
cabal-version: >=1.10
source-repository head
type: git
location: https://github.com/capn-freako/Haskell_ML.git
library
hs-source-dirs: src
exposed-modules: Haskell_ML.FCN
, Haskell_ML.Util
build-depends: base >= 4.7 && < 5
, attoparsec
, binary
, hmatrix
, MonadRandom
, singletons
, text
, vector
default-language: Haskell2010
ghc-options: -O2
-fexcess-precision
-optc-ffast-math
-optc-O3
executable iris
hs-source-dirs: example/iris
main-is: iris.hs
build-depends: base >= 4.7 && < 5
, haskell-ml
, hmatrix
, random-shuffle
default-language: Haskell2010
ghc-options: -O2
-fexcess-precision
-optc-ffast-math
-optc-O3
-- -rtsopts
test-suite fcnTest1
type: exitcode-stdio-1.0
hs-source-dirs: test
main-is: fcnTest1.hs
build-depends: base >= 4.7 && < 5
, haskell-ml
, MonadRandom
default-language: Haskell2010
ghc-options: -O2
-fexcess-precision
-optc-ffast-math
-optc-O3