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.
trainLearner(.learner, .task, .subset, .weights = NULL, ...)(any). Model of the underlying learner.
(RLearner)
Wrapped learner.
(Task)
Task to train learner on.
(integer)
Subset of cases for training set, index the task with this.
You probably want to use getTaskData for this purpose.
(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.