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

Before Change

            name="max_leaf_nodes", value="None")
        min_impurity_decrease = UnParametrizedHyperparameter(
            name="min_impurity_decrease", value=0.0)
        alpha = UniformFloatHyperparameter(
            "alpha", lower=0.75, upper=0.99, default_value=0.9)

        cs.add_hyperparameters([loss, learning_rate, n_estimators, max_depth,
                                min_samples_split, min_samples_leaf,
                                min_weight_fraction_leaf, subsample, max_features,

After Change

            name="min_samples_leaf", lower=1, upper=200, default_value=20, log=True)
        max_depth = UnParametrizedHyperparameter(
            name="max_depth", value="None")
        max_leaf_nodes = UniformIntegerHyperparameter(
            name="max_leaf_nodes", lower=3, upper=2047, default_value=31, log=True)
        max_bins = Constant("max_bins", 256)
        l2_regularization = UniformFloatHyperparameter(
            name="l2_regularization", lower=1E-10, upper=1, default_value=1E-10, log=True)
        early_stop = CategoricalHyperparameter(

Instances