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

Package: maxent
Type: Package
Title: Low-memory Multinomial Logistic Regression with Support for Text
Classification
Version: 1.3.3.1
Date: 2013-04-06
Author: Timothy P. Jurka, Yoshimasa Tsuruoka
Maintainer: Timothy P. Jurka <tpjurka@ucdavis.edu>
Depends: R (>= 2.13.0), methods, SparseM, tm
Imports: Rcpp
LinkingTo: Rcpp
Description: 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.
License: GPL-3
LazyLoad: yes
Packaged: 2013-11-14 17:02:54 UTC; ripley
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-11-14 18:03:19

● Data Source: CranContrib
● Cran Task View: NaturalLanguageProcessing
● 0 images, 8 functions, 2 datasets
● Reverse Depends: 0