adaboost_probabilities: AdaBoost Probability Prediction

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

AdaBoost Probability Prediction

Description

Class probabilities from model.

Usage

adaboost_probabilities(
  input_model,
  test,
  verbose = getOption("mlpack.verbose", FALSE)
)

Arguments

input_model	Input AdaBoost model (AdaBoostModel).
test	Test dataset (numeric matrix).
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.