e23bcc6338a3407a163f38ad5b6e8a010286b089,ParamSklearn/components/classification/adaboost.py,AdaboostClassifier,get_hyperparameter_search_space,#Any#,74

Before Change

        n_estimators = UniformIntegerHyperparameter(
            name="n_estimators", lower=50, upper=500, default=50, log=False)

        max_depth = UniformIntegerHyperparameter(
            name="max_depth", lower=1, upper=10, default=1, log=False)


        cs = ConfigurationSpace()
        cs.add_hyperparameter(n_estimators)
        cs.add_hyperparameter(learning_rate)
        //cs.add_hyperparameter(base_estimator)
        cs.add_hyperparameter(max_depth)
        cs.add_hyperparameter(algorithm)

        return cs

After Change

    @staticmethod
    def get_hyperparameter_search_space(dataset_properties=None):
        cs = ConfigurationSpace()

        // base_estimator = Constant(name="base_estimator", value="None")
        n_estimators = cs.add_hyperparameter(UniformIntegerHyperparameter(
            name="n_estimators", lower=50, upper=500, default=50, log=False))
        learning_rate = cs.add_hyperparameter(UniformFloatHyperparameter(
            name="learning_rate", lower=0.0001, upper=2, default=0.1, log=True))
        algorithm = cs.add_hyperparameter(CategoricalHyperparameter(
            name="algorithm", choices=["SAMME.R", "SAMME"], default="SAMME.R"))
        max_depth = cs.add_hyperparameter(UniformIntegerHyperparameter(
            name="max_depth", lower=1, upper=10, default=1, log=False))
        return cs

Instances