ncem.train.GridSearchContainer.load_gs

GridSearchContainer.load_gs(expected_pickle: Optional[list] = None, add_posterior_sampling_model: bool = False, report_unsuccessful_runs: bool = False)

Load all metrics from grid search output files.

Core results are save in self.summary_table.

Parameters

• expected_pickle (list, optional) – Expected pickle files.

• add_posterior_sampling_model (bool) – Whether to add posterior sampling model as seperate model to summary_table.

• report_unsuccessful_runs (bool) – Whether to print reporting statements in out stream.

Raises

ValueError – If no complete runs found.