trainLearner: Train an R learner.
In riebetob/mlr: Machine Learning in R

Description Usage Arguments Details Value

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.

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

`.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.

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.

[any]. Model of the underlying learner.

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.