prune_dfm: Feature matrix pruning

In tm4ss/tmca.classify: Classification and active learning for text (tmca.classify)

Description

Prunes a document feature matrix (dfm) using relative thresholds

Usage

prune_dfm(dfm, minimum_threshold = 0.005, maximum_threshold = 1)

Arguments

dfm	a sparse matrix (Matrix)
minimum_threshold	minimum document frequency threshold for relative pruning
maximum_threshold	maximum document frequency threshold for relative pruning

Value

A pruned sparse Matrix

Examples

# example feature matrix
m <- Matrix(round(replicate(10, abs(rnorm(20))) * 10))
colnames(m) <- as.character(1:10)
dim(m)
n <- prune_dfm(m)
dim(n)

tm4ss/tmca.classify documentation built on June 24, 2019, 12:37 p.m.