select_percentile_classification.py 文件源码

def get_hyperparameter_search_space(dataset_properties=None):
        percentile = UniformFloatHyperparameter(
            name="percentile", lower=1, upper=99, default=50)

        score_func = CategoricalHyperparameter(
            name="score_func", choices=["chi2", "f_classif"], default="chi2")
        if dataset_properties is not None:
            # Chi2 can handle sparse data, so we respect this
            if 'is_sparse' in dataset_properties and dataset_properties['is_sparse']:
                score_func = Constant(
                    name="score_func", value="chi2")

        cs = ConfigurationSpace()
        cs.add_hyperparameter(percentile)
        cs.add_hyperparameter(score_func)

        return cs