fb01effccf0c2271b1c4a81da55d8d1c6e009d2f,autosklearn/pipeline/components/classification/xgradient_boosting.py,GradientBoostingClassifier,get_hyperparameter_search_space,#Any#,140

Before Change

            UnParametrizedHyperparameter("min_weight_fraction_leaf", 0.))
        subsample = cs.add_hyperparameter(UniformFloatHyperparameter(
                name="subsample", lower=0.01, upper=1.0, default=1.0, log=False))
        max_features = cs.add_hyperparameter(UniformFloatHyperparameter(
            "max_features", 0.5, 5, default=1))
        max_leaf_nodes = cs.add_hyperparameter(UnParametrizedHyperparameter(
            name="max_leaf_nodes", value="None"))

After Change

                name="gamma", value=0))
        colsample_bylevel = cs.add_hyperparameter(UnParametrizedHyperparameter(
                name="colsample_bylevel", value=1))
        reg_alpha = cs.add_hyperparameter(UnParametrizedHyperparameter(
                name="reg_alpha", value=0))
        reg_lambda = cs.add_hyperparameter(UnParametrizedHyperparameter(
                name="reg_lambda", value=1))
        base_score = cs.add_hyperparameter(UnParametrizedHyperparameter(
                name="base_score", value=0.5))

Instances