6165fc267993ef3b58ca918f623a7e344729e6dd,optuna/importance/_fanova.py,,_get_distributions,#Any#,39

Before Change

    distributions = {}  // type: Dict[str, BaseDistribution]

    for trial in trials:
        for name, distribution in trial.distributions.items():
            if name not in distributions:
                distributions[name] = distribution
            else:
                // TODO(hvy): Update low, high, choices, etc. to cover the entire search space.
                // Search spaces may vary between trials.
                pass

    distributions = OrderedDict([(name, distributions[name]) for name in sorted(distributions)])

    return distributions

After Change

    // Condtional hyperparameters are excluded here since we are taking the intersection.
    distributions = intersection_search_space(study)
    distributions = OrderedDict(sorted(distributions.items(), key=lambda x: x[0]))

    return distributions

Instances