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.


Reference manual

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install.packages("maxent") by Timothy P. Jurka, 6 years ago

Browse source code at https://github.com/cran/maxent

Authors: Timothy P. Jurka , Yoshimasa Tsuruoka

Documentation:   PDF Manual  

Task views:

GPL-3 license

Imports Rcpp

Depends on methods, SparseM, tm

Linking to Rcpp

Suggested by biomod2.

See at CRAN