rf_classifier.projector: Create a random forest classifier

In bbuchsbaum/multivarious: Extensible Data Structures for Multivariate Analysis

Create a random forest classifier

Description

Uses randomForest to train a random forest on the provided scores and labels.

Usage

## S3 method for class 'projector'
rf_classifier(x, colind = NULL, labels, scores, ...)

Arguments

x	a projector object
colind	optional col indices
labels	class labels
scores	reference scores
...	passed to randomForest

Value

a rf_classifier object with rfres (rf model), labels, scores

See Also

randomForest

Other classifier: classifier.multiblock_biprojector(), classifier.projector()

Examples

# Assume proj is a fitted projector object
# Assume lbls are labels and sc are scores
# if (requireNamespace("randomForest", quietly = TRUE)) {
#   rf_classifier(proj, labels = lbls, scores = sc)
# }

bbuchsbaum/multivarious documentation built on July 16, 2025, 11:04 p.m.