440c2bc25fdc60cd6ccb491f20c8741a009ce9a7,optuna/importance/_mean_decrease_impurity.py,MeanDecreaseImpurityImportanceEvaluator,evaluate,#MeanDecreaseImpurityImportanceEvaluator#Any#Any#,59

Before Change

        if params_data.size == 0:  // `params` were given but as an empty list.
            return OrderedDict()

        params_data, cols_to_raw_cols = _encode_categorical(params_data, distributions.values())

        forest = self._forest
        forest.fit(params_data, values_data)

After Change

        for trial in study.trials:
            if trial.state != TrialState.COMPLETE:
                continue
            if any(name not in trial.params for name in distributions.keys()):
                continue
            trials.append(trial)

        trans = _Transform(trials, distributions, transform_log=False)
        trans_params = trans.params

Instances