R: Train an R learner.

trainLearner {mlr} | R Documentation

## Train an R learner.

### Description

Mainly for internal use. Trains a wrapped learner on a given training set. You have to implement this method if you want to add another learner to this package.

### Usage

    trainLearner(.learner, .task, .subset, .weights = NULL, ...)

### Arguments

`.learner` | (RLearner) Wrapped learner.
`.task` | (Task) Task to train learner on.
`.subset` | (integer) Subset of cases for training set, index the task with this. You probably want to use getTaskData for this purpose.
`.weights` | (numeric) Weights for each observation.
`...` | (any) Additional (hyper)parameters, which need to be passed to the underlying train function.

### Details

Your implementation must adhere to the following: The model must be fitted on the subset of `.task` given by `.subset`. All parameters in `...` must be passed to the underlying training function.

### Value

(any). Model of the underlying learner.

[Package mlr version 2.15.0 Index]