Create a random forest classifier — rf_classifier.projector • multivarious

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

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)
# }