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