get_best_evaluation#

AxModelManager.get_best_evaluation(metric_name=None, use_model_predictions=True)#

Get the best scoring point in the sample.

Parameters:
metric_namestr, optional.

Name of the metric to evaluate. If not specified, it will take the first first objective in self.ax_client.

use_model_predictionsbool, optional.

Whether to extract the best point using model predictions or directly observed values.

Returns:
int, dict

The index of the best evaluation and a dictionary with its parameters.