Container for results of hyperparameter tuning. Contains
  the obtained point in search space, its performance
  values and the optimization path which lead there.

TuneResult

Interface to a large number of classification and
        regression techniques, including machine-readable parameter
        descriptions. Generic resampling, including cross-validation,
        bootstrapping and subsampling. Hyperparameter tuning with
        modern optimization techniques. Filter and wrapper methods for
        feature selection. Extension of basic learners with additional
        operations. Nested resampling.

TuneResult: Result of tuning.

Description

Arguments

Details