R: fits a maximum entropy model given a training matrix and a...
tune.maxent
R Documentation
fits a maximum entropy model given a training matrix and a vector or factor of labels.
Description
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.
A DocumentTermMatrix or TermDocumentMatrix (package tm), Matrix (package Matrix), matrix.csr (SparseM), data.frame, or matrix.
code_vector
A factor or vector of labels corresponding to each document in the feature_matrix.
nfold
An integer specifying the number of folds to perform for cross-validation. Defaults to 3.
showall
A logical specifying whether to show the accuracy results of all tested parameter configurations. Defaults to FALSE.
verbose
A logical specifying whether to provide descriptive output about the fitting process. Defaults to FALSE, or no output.
Value
Returns an object of class matrix with configurations along the y-axis and parameters along the x-axis.
Author(s)
Timothy P. Jurka <tpjurka@ucdavis.edu>
Examples
# LOAD LIBRARY
library(maxent)
# A DIFFERENT EXAMPLE
data(iris)
attach(iris)
x <- subset(iris, select = -Species)
y <- Species
f <- tune.maxent(x,y,nfold=3,showall=TRUE)
providing 
.