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