# Low-memory Multinomial Logistic Regression with Support for Text Classification

## Documentation for package ‘maxent’ version 1.3.3.1

- DESCRIPTION file.

## Help Pages

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.