SparseGenerativeModel: Sparse Generative Model

URL:http://sourceforge.net/projects/sgmweka/
Author:Antti Puurula<asp12{[at]}students.waikato.ac.nz>
Maintainer:Antti Puurula<asp12{[at]}students.waikato.ac.nz>

A wrapper for the SGM toolkit for generative modeling with sparse matrix representations. Implements Multinomial Naive Bayes and Multinomial Kernel Density classifiers, and modifications such as TF-IDF transforms, different types of smoothing, pruning and model based feedback. Default classifier is a Multinomial Naive Bayes model with TF-IDF term weighting and smoothing with a uniform background model. Restart Weka after package installation. Multi-label classification, ranked retrieval and other functions are available through both command-line calls and class inclusion.

All available versions:
Latest
1.4.9
1.4.4
1.3.2
1.0.0