Last data update: 2014.03.03

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Results 1 - 8 of 8 found.
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save.model (Package: maxent) :

Saves a multinomial logistic regression model of class maxent-class to a specified file. This model can then be loaded using function load.model.
● Data Source: CranContrib
● Keywords: methods
● Alias: save.model
● 0 images

as.compressed.matrix (Package: maxent) :

Converts a DocumentTermMatrix or TermDocumentMatrix (package tm), Matrix (package Matrix), matrix.csr (SparseM), data.frame, or matrix into a matrix.csr representation to be used in the maxent and predict.maxent functions.
● Data Source: CranContrib
● Keywords: methods
● Alias: as.compressed.matrix
● 0 images

tune.maxent (Package: maxent) :

Fits a multinomial logistic regression model of class maxent-class given a matrix or matrix.csr with training data, and a vector or factor with corresponding labels.
● Data Source: CranContrib
● Keywords: methods
● Alias: tune.maxent
● 0 images

predict.maxent (Package: maxent) :

Predicts the expected labels and probability scores of a matrix of documents given a trained model of class maxent-class generated by function maxent.
● Data Source: CranContrib
● Keywords: methods
● Alias: predict.maxent
● 0 images

maxent (Package: maxent) :

Trains a multinomial logistic regression model of class maxent-class given a matrix or matrix.csr with training data, and a vector or factor with corresponding labels. Additional parameters such as feature_cutoff, gaussian_prior, inequality_constraints, and set_heldout help prevent model overfitting.
● Data Source: CranContrib
● Keywords: methods
● Alias: maxent
● 0 images

maxent-class (Package: maxent) :

An S4 class containing the trained maximum entropy model and its corresponding weights as a data.frame with three columns: Weight, Label, and Feature.
● Data Source: CranContrib
● Keywords: classes
● Alias: maxent-class
● 0 images

maxent-package (Package: maxent) :

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 library is built on top of an efficient C++ implementation written by Yoshimasa Tsuruoka.
● Data Source: CranContrib
● Keywords: package
● Alias: maxent-package
● 0 images

load.model (Package: maxent) :

Loads a multinomial logistic regression model of class maxent-class given a file created by function save.model.
● Data Source: CranContrib
● Keywords: methods
● Alias: load.model
● 0 images