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About: Classification and Regression Training Changes:Fetched by r-cran-robot on 2014-07-01 00:00:04.862375
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About: Mining Association Rules and Frequent Itemsets Changes:Fetched by r-cran-robot on 2014-07-01 00:00:03.926443
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About: A wrapper algorithm for all-relevant feature selection Changes:Fetched by r-cran-robot on 2014-07-01 00:00:04.466010
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About: Gradient Boosting Changes:Fetched by r-cran-robot on 2014-07-01 00:00:04.610694
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About: C5.0 Decision Trees and Rule-Based Models Changes:Fetched by r-cran-robot on 2014-07-01 00:00:04.721981
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About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The package further provides leveraged affinity propagation, exemplar-based agglomerative clustering, and various tools for visual analysis of clustering results. Changes:
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About: FEAST provides implementations of common mutual information based filter feature selection algorithms (mim, mifs, mrmr, cmim, icap, jmi, disr, fcbf, etc), and an implementation of RELIEF. Written for C/C++ & Matlab. Changes:
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About: A mutual information library for C and Mex bindings for MATLAB. Aimed at feature selection, and provides simple methods to calculate mutual information, conditional mutual information, entropy, conditional entropy, Renyi entropy/mutual information, and weighted variants of Shannon entropies/mutual informations. Works with discrete distributions, and expects column vectors of features. Changes:Added weighted entropy functions. Fixed a few memory handling bugs.
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About: A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls. Changes:
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About: Lua-MapReduce framework implemented in Lua using luamongo driver and MongoDB as storage. It follows Iterative MapReduce for training of Machine Learning statistical models. Changes:
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