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rnn.cabal
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name: rnn
version: 0.1
cabal-version: >=1.8
build-type: Simple
license: BSD3
license-file: LICENSE
copyright: (c) JP Moresmau
maintainer: JP Moresmau <[email protected]>
stability: experimental
synopsis: Playing with recurrent neural networks
description:
Playing with recurrent neural networks
category: AI
author: JP Moresmau
library
exposed-modules:
AI.Network.RNN
build-depends:
base >=4.2 && <5,
hmatrix >=0.17,
vector -any,
simple-genetic-algorithm-mr -any,
deepseq -any,
MonadRandom >=0.2,
text -any,
containers -any,
ad -any,
parallel -any,
sdr -any,
binary -any,
bytestring -any, pretty
hs-source-dirs: src
other-modules:
AI.Network.RNN.Expr
AI.Network.RNN.RNN
AI.Network.RNN.Genetic
AI.Network.RNN.Data
AI.Network.RNN.LSTM
AI.Network.RNN.Types
AI.Network.RNN.Util
ghc-options: -fprof-auto -O2
executable rnn
main-is: main.hs
build-depends:
base >=4.2 && <5,
rnn -any,
hmatrix -any,
vector -any,
simple-genetic-algorithm-mr -any,
deepseq -any,
MonadRandom >=0.2,
text -any,
containers -any,
directory -any,
ad -any,
parallel -any,
sdr -any,
binary -any,
bytestring -any, pretty
hs-source-dirs: exe
ghc-options: -Wall -rtsopts -O2 -fprof-auto -threaded
test-suite rnn-test
type: exitcode-stdio-1.0
main-is: rnn-test.hs
build-depends:
base >=4,
tasty >0.10,
tasty-hunit -any,
tasty-quickcheck -any,
HUnit -any,
QuickCheck -any,
hmatrix -any,
vector -any,
simple-genetic-algorithm-mr -any,
deepseq -any,
MonadRandom >=0.2,
text -any,
containers -any,
ad -any,
parallel -any,
sdr -any,
binary -any,
bytestring -any, pretty
hs-source-dirs: test src
other-modules:
AI.Network.RNN.Expr
AI.Network.RNN.LSTM
AI.Network.RNN.RNN
AI.Network.RNN.Data
AI.Network.RNN.Genetic
AI.Network.RNN.Util
AI.Network.RNN.Types
ghc-options: -Wall -rtsopts -threaded -O2 -fprof-auto