Name: HLearn-classification Version: 0.0.1 Description: This module is for unsupervised, supervised, and semi-supervised classification tasks. It is in desperate need of documentation and refactoring. Category: Data Mining, Machine Learning License: GPL --License-file: LICENSE Author: Mike izbicki Maintainer: mike@izbicki.me Build-Type: Simple Cabal-Version: >=1.8 Executable HLearn-Classification-Demo Main-is: src/examples/demo.lhs Build-Depends: HLearn-algebra >= 0.0.1, ConstraintKinds >= 0.0.1, HLearn-distributions >= 0.0.1, HLearn-classification >= 0.0.1, base >= 3 && < 5, criterion >= 0.6.1.1 ghc-options: -threaded -rtsopts -O2 -- -prof -funbox-strict-fields -- -prof -- -fllvm Library Build-Depends: base >= 3 && < 5, HLearn-algebra >= 0.0.1, HLearn-distributions >= 0.0.1, ConstraintKinds >= 0.0.1, -- are these really necessary? dlist >= 0.5, parsec >= 3.1.3, Safe >= 0.1, bytestring >= 0.10.0.0, primitive >= 0.4.1, split >= 0.2.1.1, list-extras >= 0.4.1, containers >= 0.5, statistics >= 0.10.2, QuickCheck >= 2.5.1, vector >= 0.9, vector-th-unbox >= 0.1, MonadRandom >= 0.1.6, logfloat >= 0.12.0, 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.Classification HLearn.Models.Classifiers.NBayes HLearn.Models.DistributionContainer HLearn.DataContainers HLearn.DataContainers.CSVParser HLearn.DataContainers.DS_List HLearn.Evaluation.CrossValidation --HLearn.Evaluation.Metrics