evaluate_trials

Exploration.evaluate_trials(trial_data, ignore_unrecognized_parameters=False)

Attach and evaluate trials.

Use this method to manually suggest a set of trials to the exploration and evaluate them immediately.

The given data should contain all necessary fields to create the trials (i.e., the values of the VaryingParameters). The method accepts this data as a list, dictionary, pandas DataFrame or numpy structured array (see example in Exploration.attach_trials()).

Parameters:

trial_datadict, list, NDArray or DataFrame

The data containing the trial parameters.

ignore_unrecognized_parametersbool, optional

Whether to ignore unrecognized parameters in the given data. By default, if the data contains more fields than the VaryingParameters, AnalyzedParameters and Objectives of the exploration, a ValueError is raised, since this might indicate a problem in the data. If set to True, the error will be ignored.