load.model: loads a maximum entropy model from a file.

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

Description

Loads a multinomial logistic regression model of class maxent-class given a file created by function save.model.

Usage

load.model(file)

Arguments

file	The path to a file created by function save.model.

Value

Returns an object of class maxent-class with two slots.

model	A character vector containing the trained maximum entropy model.
weights	A data.frame listing all the weights in 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])

save.model(model,"myModel")
saved_model <- load.model("myModel")
results <- predict(saved_model,sparse[101:150,])

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