532acbc0a2c75bfe1f35fa5a667c2c1c650792b3,AutoSklearn/components/classification/liblinear.py,LibLinear_SVC,get_meta_information,#,59

Before Change

    @staticmethod
    def get_meta_information():
        return {"shortname": "Liblinear-SVC",
                "name": "Liblinear Support Vector Classification"}

    @staticmethod
    def get_hyperparameter_search_space():
        penalty = CategoricalHyperparameter("penalty", ["l1", "l2"],

After Change

    @staticmethod
    def get_meta_information():
        return {"shortname": "Liblinear-SVC",
                "name": "Liblinear Support Vector Classification",
                "handles_missing_values": False,
                "handles_nominal_values": False,
                "handles_numerical_features": True,
                "prefers_data_scaled": True,
                // Find out if this is good because of sparsity
                "prefers_data_normalized": False,
                "handles_multiclass": True,
                "handles_multilabel": False,
                "is_deterministic": False,
                // TODO find out of this is right!
                // this here suggests so http://scikit-learn.org/stable/modules/svm.html//tips-on-practical-use
                "handles_sparse": True,
                // TODO find out what is best used here!
                "preferred_dtype" : None}

    @staticmethod
    def get_hyperparameter_search_space():
        penalty = CategoricalHyperparameter("penalty", ["l1", "l2"],

Instances