8565a366de87d82dc19c3386b4a83359be1aa275,autosklearn/pipeline/components/feature_preprocessing/feature_agglomeration.py,FeatureAgglomeration,get_hyperparameter_search_space,#Any#,58

Before Change

    @staticmethod
    def get_hyperparameter_search_space(dataset_properties=None):
        cs = ConfigurationSpace()
        n_clusters = cs.add_hyperparameter(UniformIntegerHyperparameter(
            "n_clusters", 2, 400, 25))
        affinity = cs.add_hyperparameter(CategoricalHyperparameter(
            "affinity", ["euclidean", "manhattan", "cosine"], "euclidean"))
        linkage = cs.add_hyperparameter(CategoricalHyperparameter(
            "linkage", ["ward", "complete", "average"], "ward"))
        pooling_func = cs.add_hyperparameter(CategoricalHyperparameter(
            "pooling_func", ["mean", "median", "max"]))

        affinity_and_linkage = ForbiddenAndConjunction(
            ForbiddenInClause(affinity, ["manhattan", "cosine"]),
            ForbiddenEqualsClause(linkage, "ward"))

After Change

    @staticmethod
    def get_hyperparameter_search_space(dataset_properties=None):
        cs = ConfigurationSpace()
        n_clusters = UniformIntegerHyperparameter("n_clusters", 2, 400, 25)
        affinity = CategoricalHyperparameter(
            "affinity", ["euclidean", "manhattan", "cosine"], "euclidean")
        linkage = CategoricalHyperparameter(
            "linkage", ["ward", "complete", "average"], "ward")
        pooling_func = CategoricalHyperparameter(
            "pooling_func", ["mean", "median", "max"])

        cs.add_hyperparameters([n_clusters, affinity, linkage, pooling_func])

        affinity_and_linkage = ForbiddenAndConjunction(
            ForbiddenInClause(affinity, ["manhattan", "cosine"]),
            ForbiddenEqualsClause(linkage, "ward"))

Instances