multivarious (version 0.3.1)

rf_classifier.projector: Create a random forest classifier

Description

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

Usage

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

Value

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

Arguments

x

a projector object

colind

optional col indices

labels

class labels

scores

reference scores

...

passed to randomForest

See Also

randomForest

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

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)
# }