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. The classifier is based on an efficient C++ implementation written by Dr. Yoshimasa Tsuruoka.

Version: 1.3.3.1
Depends: R (≥ 2.13.0), methods, SparseM, tm
Imports: Rcpp
LinkingTo: Rcpp
Published: 2013-11-14
Author: Timothy P. Jurka, Yoshimasa Tsuruoka
Maintainer: Timothy P. Jurka <tpjurka at ucdavis.edu>
License: GPL-3
NeedsCompilation: yes
Citation: NA
Materials: NA
In views: NaturalLanguageProcessing
CRAN checks: maxent results

Downloads:

Reference manual: maxent.pdf
Package source: maxent_1.3.3.1.tar.gz
Windows binaries: r-devel: maxent_1.3.3.1.zip, r-release: maxent_1.3.3.1.zip, r-oldrel: maxent_1.3.3.1.zip
OS X Snow Leopard binaries: r-release: maxent_1.3.3.1.tgz, r-oldrel: maxent_1.3.3.1.tgz
OS X Mavericks binaries: r-release: maxent_1.3.3.1.tgz
Old sources: maxent archive

Reverse dependencies:

Reverse imports: RTextTools