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LambdaNet.cabal
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LambdaNet.cabal
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-- Initial LambdaNet.cabal generated by cabal init. For further
-- documentation, see http://haskell.org/cabal/users-guide/
name: LambdaNet
version: 0.2.0.0
synopsis: A configurable and extensible neural network library
description: {
LambdaNet is an artificial neural network library that allows
users to compose their own networks from function primitives.
.
Documentation and nightly builds for LambdaNet can be found
at (<http://github.com/jbarrow/LambdaNet>).
}
license: MIT
license-file: LICENSE
author: Brent Baumgartner, Alex Thomas, Harang Ju, Joseph Barrow
maintainer: Joseph Barrow <[email protected]>
copyright: 2014
category: Machine Learning
build-type: Simple
cabal-version: >=1.8
extra-source-files: README.md
Changelog
flag examples
Description: Enable examples
Default: False
library
exposed-modules:
AI.Network,
AI.Neuron,
AI.Layer,
AI.Trainer,
AI.Trainer.BackpropTrainer,
AI.Network.FeedForwardNetwork,
AI.Network.SOM,
AI.DemoNeuron,
AI.DemoLayer
-- other-modules:
build-depends:
base >= 4 && < 5,
hmatrix >= 0.17.0.1,
random,
random-shuffle >= 0.0.4,
split,
binary,
bytestring,
Histogram,
hspec
executable convolutional
main-is: Convolutional.hs
hs-source-dirs: examples
build-depends:
base >= 4 && < 5,
LambdaNet,
hmatrix >= 0.17.0.1,
random
if flag(examples)
buildable: True
else
buildable: False
executable som
main-is: SOM.hs
hs-source-dirs: examples
build-depends:
base >= 4 && < 5,
LambdaNet,
hmatrix >= 0.17.0.1,
random
if flag(examples)
buildable: True
else
buildable: False
executable xor
main-is: XOR.hs
hs-source-dirs: examples
build-depends:
base >= 4 && < 5,
LambdaNet,
hmatrix >= 0.17.0.1,
random
if flag(examples)
buildable: True
else
buildable: False
test-suite test-all
type: exitcode-stdio-1.0
main-is: Main.hs
hs-source-dirs: test
build-depends:
base >= 4 && < 5,
LambdaNet,
hspec,
QuickCheck