Returns ------- List[Tuple[int, float, float, float]]: A list with the performance history of this ensemble, of t

Parameters ---------- smbo: SMBO The SMAC SMBO object run_info: RunInfo Information about th

Remove the cache when pickling.

Method is called when pickle dumps an object. Returns ------- Dictionary, representing the object state to be pickle

Method is called when pickle dumps an object. Returns ------- Dictionary, representing the object state to be pickle

Parameters ---------- time_left_for_this_task : int, optional (default=3600) Time limit in seconds for the search

Container for dataset metadata and experiment results. Constructor arguments: - The configuration space - aslib_directory: di

A dummy implementation of a multi-objective ensemble. Builds ensembles that are individual models on the Pareto front each. Paramete

An ensemble of selected algorithms Fitting an EnsembleSelection generates an ensemble from the the models generated during the search

Creates a Run from a path pointing to the directory of a run Parameters ---------- path: Path Expects something l

Parameters ---------- backend: Backend backend to write and read files dataset_name: str nam

SMAC callback to handle ensemble building Parameters ---------- backend: Backend backend to write and read files

Parameters ---------- dataset_properties : dict Describes the dataset to work on, this can change the