How to use the lime.discretize.BaseDiscretizer.__init__ function in lime

def __init__(self, data, categorical_features, feature_names, labels=None, random_state=None):
        BaseDiscretizer.__init__(self, data, categorical_features,
                                 feature_names, labels=labels,
                                 random_state=random_state)

def __init__(self, data, categorical_features, feature_names, labels=None, random_state=None,
                 data_stats=None):

        BaseDiscretizer.__init__(self, data, categorical_features,
                                 feature_names, labels=labels,
                                 random_state=random_state,
                                 data_stats=data_stats)

def __init__(self, data, categorical_features, feature_names, labels=None, random_state=None):

        BaseDiscretizer.__init__(self, data, categorical_features,
                                 feature_names, labels=labels,
                                 random_state=random_state)

def __init__(self, data, categorical_features, feature_names, labels=None, random_state=None):
        if(labels is None):
            raise ValueError('Labels must be not None when using \
                             EntropyDiscretizer')
        BaseDiscretizer.__init__(self, data, categorical_features,
                                 feature_names, labels=labels,
                                 random_state=random_state)