maxent-class: an S4 class containing the trained maximum entropy model.

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

Description

An S4 class containing the trained maximum entropy model and its corresponding weights as a data.frame with three columns: Weight, Label, and Feature.

Objects from the Class

Objects could in principle be created by calls of the form new("maxent", ...). The preferred form is to have them created via a call to maxent.

Slots

model

Object of class "character": stores the trained maximum entropy model as returned from maxent

weights

Object of class "data.frame": contains the weights of the trained maximum entropy model, with three columns: Weight, Label, and Feature.

Author(s)

Timothy P. Jurka <[e-mail]>

Examples

# LOAD LIBRARY
library(maxent)

# READ THE DATA, PREPARE THE CORPUS, and CREATE THE MATRIX
data <- read.csv(system.file("data/NYTimes.csv.gz",package="maxent"))
corpus <- Corpus(VectorSource(data$Title[1:150]))
matrix <- DocumentTermMatrix(corpus)

# TRAIN USING SPARSEM REPRESENTATION
sparse <- as.compressed.matrix(matrix)
model <- maxent(sparse[1:100,],as.factor(data$Topic.Code)[1:100])
class(model)
model@model
model@weights

maxent documentation built on May 29, 2017, 1:40 p.m.