sibe/sibe.cabal

name:                sibe
version:             0.2.0.1
synopsis:            Machine Learning algorithms
description:         Haskell Machine Learning
homepage:            https://github.com/mdibaiee/sibe
license:             GPL-3
license-file:        LICENSE
author:              Mahdi Dibaiee
maintainer:          mdibaiee@aol.com
copyright:           2016 Mahdi Dibaiee
category:            Web, Machine Learning, Data Science
build-type:          Simple
-- extra-source-files:
cabal-version:       >=1.10

library
  hs-source-dirs:      src
  exposed-modules:     Numeric.Sibe, Numeric.Sibe.NaiveBayes, Numeric.Sibe.NLP, Numeric.Sibe.Word2Vec, Numeric.Sibe.Utils
  build-depends:       base >= 4.7 && < 5
                     , hmatrix
                     , random
                     , deepseq
                     , containers
                     , split
                     , regex-base
                     , regex-pcre
                     , text
                     , stemmer
                     , vector
                     , random-shuffle
                     , data-default-class
                     , Chart
                     , Chart-cairo
                     , lens
  default-language:    Haskell2010

executable example-xor
  hs-source-dirs:      examples
  main-is:             xor.hs
  ghc-options:         -threaded -rtsopts -with-rtsopts=-N
  build-depends:       base
                     , sibe
                     , hmatrix
                     , data-default-class
  default-language:    Haskell2010

executable example-word2vec
  hs-source-dirs:      examples
  main-is:             word2vec.hs
  ghc-options:         -threaded -rtsopts -with-rtsopts=-N
  build-depends:       base
                     , sibe
                     , hmatrix
                     , data-default-class
                     , split
                     , vector
                     , directory
                     , random
  default-language:    Haskell2010

executable example-424
  hs-source-dirs:      examples
  main-is:             424encoder.hs
  ghc-options:         -threaded -rtsopts -with-rtsopts=-N
  build-depends:       base
                     , sibe
                     , hmatrix
                     , data-default-class
  default-language:    Haskell2010

executable example-notmnist
  hs-source-dirs:      examples
  main-is:             notmnist.hs
  ghc-options:         -threaded -rtsopts -with-rtsopts=-N
  build-depends:       base
                     , sibe
                     , hmatrix
                     , directory >= 1.2.5.0
                     , JuicyPixels < 3.3
                     , vector == 0.11.0.0
                     , random
                     , random-shuffle
                     , data-default-class
                     , Chart
                     , Chart-cairo
  default-language:    Haskell2010

executable example-naivebayes-doc-classifier
  hs-source-dirs:      examples
  main-is:             naivebayes-doc-classifier.hs
  ghc-options:         -threaded -rtsopts -with-rtsopts=-N
  build-depends:       base
                     , sibe
                     , hmatrix
                     , containers
                     , split
  default-language:    Haskell2010

test-suite sibe-test
  type:                exitcode-stdio-1.0
  hs-source-dirs:      test
  main-is:             Spec.hs
  build-depends:       base
                     , sibe
                     , hmatrix
  ghc-options:         -threaded -rtsopts -with-rtsopts=-N
  default-language:    Haskell2010

source-repository head
  type:     git
  location: https://github.com/mdibaiee/sibe
initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`name: sibe`
chore: bump version 2016-11-08 19:10:26 +00:00			`version: 0.2.0.1`
chore: package desc 2016-10-16 09:41:27 +00:00			`synopsis: Machine Learning algorithms`
fix(stack): use stack build and exec instead of manual stack ghc refactor: rename from Lib to Sibe 2016-07-18 12:03:34 +00:00			`description: Haskell Machine Learning`
			`homepage: https://github.com/mdibaiee/sibe`
			`license: GPL-3`
initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`license-file: LICENSE`
fix(stack): use stack build and exec instead of manual stack ghc refactor: rename from Lib to Sibe 2016-07-18 12:03:34 +00:00			`author: Mahdi Dibaiee`
			`maintainer: mdibaiee@aol.com`
			`copyright: 2016 Mahdi Dibaiee`
			`category: Web, Machine Learning, Data Science`
initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`build-type: Simple`
			`-- extra-source-files:`
			`cabal-version: >=1.10`

			`library`
			`hs-source-dirs: src`
feat(Numeric): move all modules to Numeric 2016-10-16 22:24:35 +00:00			`exposed-modules: Numeric.Sibe, Numeric.Sibe.NaiveBayes, Numeric.Sibe.NLP, Numeric.Sibe.Word2Vec, Numeric.Sibe.Utils`
initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`build-depends: base >= 4.7 && < 5`
fix(stack): use stack build and exec instead of manual stack ghc refactor: rename from Lib to Sibe 2016-07-18 12:03:34 +00:00			`, hmatrix`
			`, random`
feat(crossEntropy): crossEntropy cost function 2016-07-24 06:18:04 +00:00			`, deepseq`
feat(naivebayes): implement NaiveBayes algorithm feat(example): a document classifier using NaiveBayes over reuters data 2016-07-29 11:46:44 +00:00			`, containers`
			`, split`
fix(naivebayes): fix the algorithm to make it actually work feat(cleanDocuments): preprocess documents, use stemming and stopword elimination for better accuracy 2016-08-05 19:24:36 +00:00			`, regex-base`
			`, regex-pcre`
			`, text`
			`, stemmer`
feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`, vector`
			`, random-shuffle`
			`, data-default-class`
			`, Chart`
			`, Chart-cairo`
feat(w2v): draw text charts for words 2016-10-01 08:54:36 +00:00			`, lens`
initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`default-language: Haskell2010`

feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`executable example-xor`
			`hs-source-dirs: examples`
			`main-is: xor.hs`
initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`ghc-options: -threaded -rtsopts -with-rtsopts=-N`
			`build-depends: base`
			`, sibe`
fix(stack): use stack build and exec instead of manual stack ghc refactor: rename from Lib to Sibe 2016-07-18 12:03:34 +00:00			`, hmatrix`
feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`, data-default-class`
initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`default-language: Haskell2010`

relu: run notmnist using relu activation and draw the chart [wip] word2vec: work in progress implementation of word2vec 2016-09-13 05:19:44 +00:00			`executable example-word2vec`
			`hs-source-dirs: examples`
			`main-is: word2vec.hs`
			`ghc-options: -threaded -rtsopts -with-rtsopts=-N`
			`build-depends: base`
			`, sibe`
			`, hmatrix`
			`, data-default-class`
			`, split`
			`, vector`
feat(blogs-corpus): new corpus for word2vec 2016-09-19 11:30:45 +00:00			`, directory`
			`, random`
relu: run notmnist using relu activation and draw the chart [wip] word2vec: work in progress implementation of word2vec 2016-09-13 05:19:44 +00:00			`default-language: Haskell2010`

feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`executable example-424`
fix(train): fix an error in computing layer's error feat(examples): add an example (xor) 2016-07-17 20:00:17 +00:00			`hs-source-dirs: examples`
feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`main-is: 424encoder.hs`
fix(train): fix an error in computing layer's error feat(examples): add an example (xor) 2016-07-17 20:00:17 +00:00			`ghc-options: -threaded -rtsopts -with-rtsopts=-N`
			`build-depends: base`
			`, sibe`
fix(stack): use stack build and exec instead of manual stack ghc refactor: rename from Lib to Sibe 2016-07-18 12:03:34 +00:00			`, hmatrix`
feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`, data-default-class`
fix(train): fix an error in computing layer's error feat(examples): add an example (xor) 2016-07-17 20:00:17 +00:00			`default-language: Haskell2010`

feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`executable example-notmnist`
feat(naivebayes): implement NaiveBayes algorithm feat(example): a document classifier using NaiveBayes over reuters data 2016-07-29 11:46:44 +00:00			`hs-source-dirs: examples`
feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`main-is: notmnist.hs`
feat(naivebayes): implement NaiveBayes algorithm feat(example): a document classifier using NaiveBayes over reuters data 2016-07-29 11:46:44 +00:00			`ghc-options: -threaded -rtsopts -with-rtsopts=-N`
			`build-depends: base`
			`, sibe`
			`, hmatrix`
feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`, directory >= 1.2.5.0`
chore(deps): JuicyPixel < 3.3 2016-11-08 19:09:50 +00:00			`, JuicyPixels < 3.3`
feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`, vector == 0.11.0.0`
			`, random`
			`, random-shuffle`
			`, data-default-class`
			`, Chart`
			`, Chart-cairo`
feat(naivebayes): implement NaiveBayes algorithm feat(example): a document classifier using NaiveBayes over reuters data 2016-07-29 11:46:44 +00:00			`default-language: Haskell2010`

feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`executable example-naivebayes-doc-classifier`
fix(naivebayes): fix the algorithm to make it actually work feat(cleanDocuments): preprocess documents, use stemming and stopword elimination for better accuracy 2016-08-05 19:24:36 +00:00			`hs-source-dirs: examples`
feat(notmnist): notmnist example using SGD + learning rate decay 2016-09-09 20:06:15 +00:00			`main-is: naivebayes-doc-classifier.hs`
fix(naivebayes): fix the algorithm to make it actually work feat(cleanDocuments): preprocess documents, use stemming and stopword elimination for better accuracy 2016-08-05 19:24:36 +00:00			`ghc-options: -threaded -rtsopts -with-rtsopts=-N`
			`build-depends: base`
			`, sibe`
			`, hmatrix`
			`, containers`
			`, split`
			`default-language: Haskell2010`

initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`test-suite sibe-test`
			`type: exitcode-stdio-1.0`
			`hs-source-dirs: test`
			`main-is: Spec.hs`
			`build-depends: base`
			`, sibe`
fix(stack): use stack build and exec instead of manual stack ghc refactor: rename from Lib to Sibe 2016-07-18 12:03:34 +00:00			`, hmatrix`
initial commit, still work in progress 2016-07-17 12:23:13 +00:00			`ghc-options: -threaded -rtsopts -with-rtsopts=-N`
			`default-language: Haskell2010`

			`source-repository head`
			`type: git`
fix(stack): use stack build and exec instead of manual stack ghc refactor: rename from Lib to Sibe 2016-07-18 12:03:34 +00:00			`location: https://github.com/mdibaiee/sibe`