class LIMETabular:
    def __init__(self, 
                 predictor,
                 train_feat_stats,
                 feature_names=None,
                 categorical_features=None,
                 class_names=None,
                 num_perturbs=5000,
                 max_features=10):
        ...
    def __call__(self,
                 inputs,
                 targets=0,
                 show=None):
        ...
    @staticmethod
    def to_feat_stats(features, feature_names=None, categorical_features=None):
        ...
    @staticmethod
    def save_feat_stats(stats, file):
        ...