syne_tune.experiments.visualization.pareto_set module

syne_tune.experiments.visualization.pareto_set.get_pareto_optimal(costs)

Find the pareto-optimal points :type costs: ndarray :param costs: (n_points, m_cost_values) array :return: (n_points, 1) indicator if point is on pareto front or not.

syne_tune.experiments.visualization.pareto_set.get_pareto_set(results, metrics, mode='min')

Returns a subset of the results frame consisting of all Pareto optimal points. :type results: DataFrame :param results: pandas.DataFrame Experiment results dataframe generated by the Tuner object :type metrics: List[str] :param metrics: List that contains all metrics that should be optimized :type mode: Union[str, List[str], None] :param mode: Defines for each metric whether to maximize or minimize :return: DataFrame with Pareto set