Name:                DecisionTree
Version:             0.0
Cabal-Version: >= 1.2
Synopsis:            A very simple implementation of decision trees for discrete attributes.
Description:         A very simple implementation of decision trees, built with ID3. You can use it to classify data with a set of discrete attributes.
License:             LGPL
License-file:        LICENSE
Author:              Adrian Neumann
Homepage:            http://page.mi.fu-berlin.de/~aneumann/decisiontree.html
Category:            Algorithms, Pattern Classification
Maintainer:          aneumann@inf.fu-berlin.de
stability:           alpha
build-type:          Simple
extra-source-files:  README, test.hs, lgpl-3.0.txt

Library
    exposed-modules:     Data.DecisionTree
    build-depends: 
         base, 
         containers >=0.2.0.0
    GHC-Options:    -O2