random_forest_probabilities: Random Forests Probabilities

In mlpack: 'Rcpp' Integration for the 'mlpack' Library

Random Forests Probabilities

Description

Class probabilities from random forest model.

Usage

random_forest_probabilities(
  input_model,
  test,
  test_labels = NA,
  verbose = getOption("mlpack.verbose", FALSE)
)

Arguments

input_model	Pre-trained random forest to use for classification (RandomForestModel).
test	Test dataset to produce predictions for (numeric matrix).
test_labels	Test dataset labels, if accuracy calculation is desired (integer row).
verbose	Display informational messages and the full list of parameters and timers at the end of execution. Default value "getOption("mlpack.verbose", FALSE)" (logical).

Value

A list with several components defining the class attributes:

probabilities

Predicted class probabilities for each point in the test set (numeric matrix).

Author(s)

mlpack developers

Examples

# \dontrun{ prob <- predict(model, newdata=X_test, type="probabilities") }

mlpack documentation built on July 23, 2026, 1:08 a.m.