Cabal revisions of clustering-0.4.0
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
-name: clustering-version: 0.4.0-synopsis: High performance clustering algorithms-description:- Following clutering methods are included in this library:- .- 1 Agglomerative hierarchical clustering. Complete linkage O(n^2),- Single linkage O(n^2), Average linkage O(n^2),- Weighted linkage O(n^2), Ward's linkage O(n^2).- .- 2 KMeans clustering.--license: MIT-license-file: LICENSE-author: Kai Zhang-maintainer: kai@kzhang.org-copyright: (c) 2015-2018 Kai Zhang-category: Math-build-type: Simple-cabal-version: >=1.10--library- exposed-modules:- AI.Clustering.Hierarchical- AI.Clustering.Hierarchical.Internal- AI.Clustering.Hierarchical.Types- AI.Clustering.KMeans- AI.Clustering.KMeans.Internal- AI.Clustering.KMeans.Types- AI.Clustering.Utils-- build-depends:- base >=4.0 && <5.0- , binary- , containers- , matrices >=0.4.0- , mwc-random- , parallel- , primitive- , unordered-containers- , vector-- hs-source-dirs: src- ghc-options: -Wall- default-language: Haskell2010--test-suite test- type: exitcode-stdio-1.0- hs-source-dirs: tests- main-is: test.hs- other-modules:- Test.Hierarchical- Test.KMeans- Test.Utils-- default-language: Haskell2010- build-depends:- base- , binary- , mwc-random- , matrices- , vector- , tasty- , tasty-hunit- , tasty-quickcheck- , clustering- , hierarchical-clustering- , split- , inline-r--benchmark bench- type: exitcode-stdio-1.0- hs-source-dirs: benchmarks- ghc-options: -threaded -rtsopts -with-rtsopts=-N2- main-is: bench.hs- other-modules:- Bench.Hierarchical- Bench.KMeans- Bench.Utils-- default-language: Haskell2010- build-depends:- base- , criterion- , mwc-random- , vector- , clustering- , hierarchical-clustering- , matrices--source-repository head- type: git- location: https://github.com/kaizhang/clustering.git+name: clustering +version: 0.4.0 +x-revision: 1 +synopsis: High performance clustering algorithms +description: + Following clutering methods are included in this library: + . + 1 Agglomerative hierarchical clustering. Complete linkage O(n^2), + Single linkage O(n^2), Average linkage O(n^2), + Weighted linkage O(n^2), Ward's linkage O(n^2). + . + 2 KMeans clustering. + +license: MIT +license-file: LICENSE +author: Kai Zhang +maintainer: kai@kzhang.org +copyright: (c) 2015-2018 Kai Zhang +category: Math +build-type: Simple +cabal-version: >=1.10 + +library + exposed-modules: + AI.Clustering.Hierarchical + AI.Clustering.Hierarchical.Internal + AI.Clustering.Hierarchical.Types + AI.Clustering.KMeans + AI.Clustering.KMeans.Internal + AI.Clustering.KMeans.Types + AI.Clustering.Utils + + build-depends: + base >= 4.0 && < 5.0 + , binary + , containers + , matrices == 0.4.* + , mwc-random + , parallel + , primitive + , unordered-containers + , vector + + hs-source-dirs: src + ghc-options: -Wall + default-language: Haskell2010 + +test-suite test + type: exitcode-stdio-1.0 + hs-source-dirs: tests + main-is: test.hs + other-modules: + Test.Hierarchical + Test.KMeans + Test.Utils + + default-language: Haskell2010 + build-depends: + base + , binary + , mwc-random + , matrices + , vector + , tasty + , tasty-hunit + , tasty-quickcheck + , clustering + , hierarchical-clustering + , split + , inline-r + +benchmark bench + type: exitcode-stdio-1.0 + hs-source-dirs: benchmarks + ghc-options: -threaded -rtsopts -with-rtsopts=-N2 + main-is: bench.hs + other-modules: + Bench.Hierarchical + Bench.KMeans + Bench.Utils + + default-language: Haskell2010 + build-depends: + base + , criterion + , mwc-random + , vector + , clustering + , hierarchical-clustering + , matrices + +source-repository head + type: git + location: https://github.com/kaizhang/clustering.git