maxent: Low-memory Multinomial Logistic Regression with Support for Text Classification

maxent is an R package with tools for low-memory multinomial logistic regression, also known as maximum entropy. The focus of this maximum entropy classifier is to minimize memory consumption on very large datasets, particularly sparse document-term matrices represented by the tm package.

Version: 1.3.1
Depends: R (≥ 2.13.0), methods, Rcpp, SparseM, tm
LinkingTo: Rcpp
Published: 2011-12-22
Author: Timothy P. Jurka
Maintainer: Timothy P. Jurka <tpjurka at ucdavis.edu>
License: GPL-3
In views: NaturalLanguageProcessing
CRAN checks: maxent results

Downloads:

Package source: maxent_1.3.1.tar.gz
MacOS X binary: maxent_1.3.1.tgz
Windows binary: maxent_1.3.1.zip
Reference manual: maxent.pdf
News/ChangeLog:ChangeLog
Old sources: maxent archive

Reverse dependencies:

Reverse depends: RTextTools