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.

Install the latest version of this package by entering the following in R:
install.packages("maxent")
AuthorTimothy P. Jurka, Yoshimasa Tsuruoka
Date of publication2013-11-14 18:03:19
MaintainerTimothy P. Jurka <tpjurka@ucdavis.edu>
LicenseGPL-3
Version1.3.3.1

View on CRAN

Files

src
src/Makevars
src/owlqn.cpp
src/mathvec.h
src/maxent.h
src/sgd.cpp
src/rmaxent.cpp
src/lbfgs.cpp
src/Makevars.win
src/maxent.cpp
src/lbfgs.h
NAMESPACE
data
data/datalist
data/USCongress.csv.gz
data/NYTimes.csv.gz
R
R/load.model.R R/maxent.R R/tune.maxent.R R/predict.maxent.R R/save.model.R R/as.compressed.matrix.R R/zzz.R
MD5
DESCRIPTION
ChangeLog
man
man/save.model.Rd man/as.compressed.matrix.Rd man/tune.maxent.Rd man/predict.maxent.Rd man/maxent.Rd man/maxent-class.Rd man/USCongress.Rd man/maxent-package.Rd man/NYTimes.Rd man/load.model.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.