84ac1e439158fed286a8b6ef8de3ae8826575f85,autosklearn/pipeline/components/regression/gradient_boosting.py,GradientBoosting,get_hyperparameter_search_space,#Any#,123

Before Change

            name="min_samples_leaf", lower=1, upper=20, default_value=1, log=False)
        min_weight_fraction_leaf = UnParametrizedHyperparameter(
            "min_weight_fraction_leaf", 0.)
        subsample = UniformFloatHyperparameter(
            name="subsample", lower=0.01, upper=1.0, default_value=1.0, log=False)
        max_features = UniformFloatHyperparameter(
            "max_features", 0.1, 1.0, default_value=1)
        max_leaf_nodes = UnParametrizedHyperparameter(
            name="max_leaf_nodes", value="None")

After Change

                                early_stop, tol, scoring, n_iter_no_change,
                                validation_fraction])

        n_iter_no_change_cond = InCondition(
            n_iter_no_change, early_stop, ["valid", "train"])
        validation_fraction_cond = EqualsCondition(
            validation_fraction, early_stop, "valid")

        cs.add_conditions([n_iter_no_change_cond, validation_fraction_cond])

Instances