Mahdi Dibaiee 26eb4531fa feat(naivebayes): implement NaiveBayes algorithm ...

feat(example): a document classifier using NaiveBayes over reuters data

2016-07-29 16:16:44 +04:30

app

feat(crossEntropy): crossEntropy cost function

2016-07-24 10:48:04 +04:30

examples

feat(naivebayes): implement NaiveBayes algorithm

2016-07-29 16:16:44 +04:30

src

feat(naivebayes): implement NaiveBayes algorithm

2016-07-29 16:16:44 +04:30

test

fix(stack): use stack build and exec instead of manual stack ghc

2016-07-18 16:33:34 +04:30

.gitignore

Initial commit

2016-07-17 16:52:16 +04:30

LICENSE

fix(stack): use stack build and exec instead of manual stack ghc

2016-07-18 16:33:34 +04:30

Setup.hs

initial commit, still work in progress

2016-07-17 16:53:13 +04:30

sibe.cabal

feat(naivebayes): implement NaiveBayes algorithm

2016-07-29 16:16:44 +04:30

stack.yaml

fix(stack): use stack build and exec instead of manual stack ghc

2016-07-18 16:33:34 +04:30

Description

Experimental Haskell machine learning library

machine-learningneural-networkword2vec

16 MiB

Languages

Haskell 99.4%

Shell 0.6%