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.