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

Before Change

    def get_hyperparameter_search_space(dataset_properties=None):
        cs = ConfigurationSpace()
        loss = CategoricalHyperparameter(
            "loss", ["ls", "lad", "huber", "quantile"], default_value="ls")
        learning_rate = UniformFloatHyperparameter(
            name="learning_rate", lower=0.01, upper=1, default_value=0.1, log=True)
        n_estimators = UniformIntegerHyperparameter(

After Change

        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(
            name="early_stop", choices=["off", "train", "valid"], default_value="off")
        tol = UnParametrizedHyperparameter(
            name="tol", value=1e-7)

Instances