tuneParams: Hyperparameter tuning.
Description
Optimizes the hyperparameters of a learner for a
classification or regression problem. Allows for
different optimization methods, such as grid search,
evolutionary strategies, etc. You can select such an
algorithm (and its settings) by passing a corresponding
control object. For a complete list of implemented
algorithms look at TuneControl.Usage
tuneParams(learner, task, resampling, measures, par.set,
control, show.info = TRUE)Details
Note that if tranformations are associated with the
parameters, the returned result will contain transformed
values in the optimal result and the path.