229d418b9e473948294e12310cb87a38f32a831c,autosklearn/pipeline/components/data_preprocessing/one_hot_encoding/one_hot_encoding.py,OneHotEncoder,__init__,#OneHotEncoder#Any#Any#Any#Any#,17

Before Change

                 categorical_features=None, random_state=None):
        // TODO pay attention to the cases when a copy is made (CSR matrices)

        if check_true(use_minimum_fraction):
            self.use_minimum_fraction = True
        elif check_false(use_minimum_fraction):
            self.use_minimum_fraction = False
        else:
            self.use_minimum_fraction = use_minimum_fraction

        self.minimum_fraction = minimum_fraction
        self.categorical_features = categorical_features

    def _fit(self, X, y=None):

After Change

                 categorical_features=None, random_state=None):
        // TODO pay attention to the cases when a copy is made (CSR matrices)

        self.use_minimum_fraction = check_for_bool(self.use_minimum_fraction)
        self.minimum_fraction = minimum_fraction
        self.categorical_features = categorical_features

    def _fit(self, X, y=None):

Instances