linear_regression_predict: Linear Regression Prediction

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

Linear Regression Prediction

Description

Predictions from model.

Usage

## S3 method for class 'mlpack_linear_regression'
predict(object, newdata, ...)

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

Arguments

object	An instantiated model object for which prediction is desired
newdata	A test data set
...	Additional optional arguments affecting the prediction
input_model	Existing LinearRegression model to use (LinearRegression).
test	Matrix containing X' (test regressors) (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:

output_predictions

Matrix containing predicted responses (numeric row).

Author(s)

mlpack developers

Examples

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

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