Cabal revisions of HLearn-distributions-1.1.0.2
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
-Name: HLearn-distributions-Version: 1.1.0.2-Synopsis: Distributions for use with the HLearn library-Description: This module is used to estimate statistical distributions from data. It is based on the algebraic properties of the "HomTrainer" type class from the HLearn-algebra package.-Category: Data Mining, Machine Learning, Statistics-License: BSD3---License-file: LICENSE-Author: Mike izbicki-Maintainer: mike@izbicki.me-Build-Type: Simple-Cabal-Version: >=1.8-homepage: http://github.com/mikeizbicki/HLearn/-bug-reports: http://github.com/mikeizbicki/HLearn/issues--Library- Build-Depends: - HLearn-algebra >= 1.0.0.1,- HLearn-datastructures >= 1.1,- ConstraintKinds >= 0.0.1,- base >= 3 && < 5,- - template-haskell,- deepseq >= 1.3.0.1,- list-extras >= 0.4.1,- containers >= 0.5,- statistics >= 0.10.2,- - QuickCheck >= 2.5.1,- vector >= 0.9,- vector-th-unbox >= 0.2,- graphviz >= 2999.16,- hmatrix >= 0.14,- gamma >= 0.9.0.2, - erf >= 2.0.0.0,-- -- are these really necessary?- array >= 0.4.0,- process >= 1.1.0.2,- MonadRandom >= 0.1.6,- math-functions >= 0.1.1,- normaldistribution >= 1.1.0-- - hs-source-dirs: src- ghc-options: - -rtsopts - -- -auto-all - -- -caf-all - -funbox-strict-fields- -O2 - -- -fllvm- Exposed-modules:- HLearn.Models.Distributions- HLearn.Models.Distributions.Common- HLearn.Models.Distributions.Kernels- HLearn.Models.Distributions.Visualization.Gnuplot- HLearn.Models.Distributions.Visualization.Graphviz- HLearn.Models.Distributions.Univariate.Binomial- HLearn.Models.Distributions.Univariate.Categorical- HLearn.Models.Distributions.Univariate.Exponential- HLearn.Models.Distributions.Univariate.Geometric- HLearn.Models.Distributions.Univariate.KernelDensityEstimator- HLearn.Models.Distributions.Univariate.LogNormal- HLearn.Models.Distributions.Univariate.Normal- HLearn.Models.Distributions.Univariate.Poisson- --HLearn.Models.Distributions.Univariate.Uniform- HLearn.Models.Distributions.Univariate.Internal.MissingData- HLearn.Models.Distributions.Univariate.Internal.Moments- HLearn.Models.Distributions.Multivariate.Interface- HLearn.Models.Distributions.Multivariate.MultiNormal- HLearn.Models.Distributions.Multivariate.Internal.CatContainer- HLearn.Models.Distributions.Multivariate.Internal.Container- HLearn.Models.Distributions.Multivariate.Internal.Ignore- HLearn.Models.Distributions.Multivariate.Internal.Marginalization- HLearn.Models.Distributions.Multivariate.Internal.TypeLens- HLearn.Models.Distributions.Multivariate.Internal.Unital-- Extensions:- FlexibleInstances- FlexibleContexts- MultiParamTypeClasses- FunctionalDependencies- UndecidableInstances- ScopedTypeVariables- BangPatterns- TypeOperators- GeneralizedNewtypeDeriving- --DataKinds- TypeFamilies- --PolyKinds- StandaloneDeriving- GADTs- KindSignatures-+Name: HLearn-distributions +Version: 1.1.0.2 +x-revision: 1 +Synopsis: Distributions for use with the HLearn library +Description: + This package is deprecated. The latest version of HLearn is available from the github repo at: <http://github.com/mikeizbicki/hlearn>. If you want to use HLearn, I strongly recommend you contact me (mike@izbicki.me) first to see if HLearn will really fit your needs. +Category: Data Mining, Machine Learning, Statistics +License: BSD3 +--License-file: LICENSE +Author: Mike izbicki +Maintainer: mike@izbicki.me +Build-Type: Simple +Cabal-Version: >=1.8 +homepage: http://github.com/mikeizbicki/HLearn/ +bug-reports: http://github.com/mikeizbicki/HLearn/issues + +Library + Build-Depends: + HLearn-algebra >= 1.0.0.1, + HLearn-datastructures >= 1.1, + ConstraintKinds >= 0.0.1, + base >= 3 && < 5, + + template-haskell, + deepseq >= 1.3.0.1, + list-extras >= 0.4.1, + containers >= 0.5, + statistics >= 0.10.2, + + QuickCheck >= 2.5.1, + vector >= 0.9, + vector-th-unbox >= 0.2, + graphviz >= 2999.16, + hmatrix >= 0.14, + gamma >= 0.9.0.2, + erf >= 2.0.0.0, + + -- are these really necessary? + array >= 0.4.0, + process >= 1.1.0.2, + MonadRandom >= 0.1.6, + math-functions >= 0.1.1, + normaldistribution >= 1.1.0 + + + hs-source-dirs: src + ghc-options: + -rtsopts + -- -auto-all + -- -caf-all + -funbox-strict-fields + -O2 + -- -fllvm + Exposed-modules: + HLearn.Models.Distributions + HLearn.Models.Distributions.Common + HLearn.Models.Distributions.Kernels + HLearn.Models.Distributions.Visualization.Gnuplot + HLearn.Models.Distributions.Visualization.Graphviz + HLearn.Models.Distributions.Univariate.Binomial + HLearn.Models.Distributions.Univariate.Categorical + HLearn.Models.Distributions.Univariate.Exponential + HLearn.Models.Distributions.Univariate.Geometric + HLearn.Models.Distributions.Univariate.KernelDensityEstimator + HLearn.Models.Distributions.Univariate.LogNormal + HLearn.Models.Distributions.Univariate.Normal + HLearn.Models.Distributions.Univariate.Poisson + --HLearn.Models.Distributions.Univariate.Uniform + HLearn.Models.Distributions.Univariate.Internal.MissingData + HLearn.Models.Distributions.Univariate.Internal.Moments + HLearn.Models.Distributions.Multivariate.Interface + HLearn.Models.Distributions.Multivariate.MultiNormal + HLearn.Models.Distributions.Multivariate.Internal.CatContainer + HLearn.Models.Distributions.Multivariate.Internal.Container + HLearn.Models.Distributions.Multivariate.Internal.Ignore + HLearn.Models.Distributions.Multivariate.Internal.Marginalization + HLearn.Models.Distributions.Multivariate.Internal.TypeLens + HLearn.Models.Distributions.Multivariate.Internal.Unital + + Extensions: + FlexibleInstances + FlexibleContexts + MultiParamTypeClasses + FunctionalDependencies + UndecidableInstances + ScopedTypeVariables + BangPatterns + TypeOperators + GeneralizedNewtypeDeriving + --DataKinds + TypeFamilies + --PolyKinds + StandaloneDeriving + GADTs + KindSignatures +