Low-memory Multinomial Logistic Regression with Support for Text Classification

Documentation for package ‘maxent’ version 1.3.3.1

maxent-package	Low-memory Multinomial Logistic Regression with Support for Text Classification
as.compressed.matrix	converts a tm DocumentTermMatrix or TermDocumentMatrix into a matrix.csr representation.
load.model	loads a maximum entropy model from a file.
maxent	trains a maximum entropy model given a training matrix and a vector or factor of labels.
maxent-class	an S4 class containing the trained maximum entropy model.
NYTimes	a sample dataset containing labeled headlines from The New York Times.
predict.maxent	predicts the expected label of a document given a trained model.
save.model	saves a maximum entropy model to a file.
tune.maxent	fits a maximum entropy model given a training matrix and a vector or factor of labels.
USCongress	a sample dataset containing labeled bills from the United State Congress.