adaboost_classify: AdaBoost Prediction

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

AdaBoost Prediction

Description

Class predictions from model.

Usage

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

## S3 method for class 'mlpack_adaboost'
predict(object, newdata, type = c("predictions", "probabilities"), ...)

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).
object	An instantiated model object for which prediction is desired
newdata	A test data set
type	A character value selection predictions or probabilities
...	Additional optional arguments affecting the prediction

Value

A list with several components defining the class attributes:

predictions

Predicted labels for the test set (integer row).

Author(s)

mlpack developers

Examples

# \dontrun{ pred <- predict(model, newdata=X_test) }

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