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Package weka-3.4.4-1

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3.4.4-1
 
Description:   Machine learning/pattern recognition in java (3.4.4-1)
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. To start the GUI, just run 'weka' For a quick command line sample run, try this: java weka.core.Instances /sw/share/doc/weka/data/weather.arff java weka.classifiers.trees.J48 -t /sw/share/doc/weka/data/weather.arff
Section:   sci
Maintainer:   Kurt Schwehr <goatbarATusersDOTsourceforgeDOTnet>
Website:   http://www.cs.waikato.ac.nz/~ml/weka/
License:   GPL
Info-File:   dists/10.4/stable/main/finkinfo/sci/weka.info
CVS log, Last Changed: Wed, 29 Feb 2012 18:43:24 (UTC)
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weka-doc Docs on machine learning and pattern recognition

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