class_docstr: Interface defining Metrics' API.
docstr: Get an interpretation of the scores.
docstr_tok: ["Get","an","interpretation","of","the","scores","."]
code: def interpret_scores(self):
      """Get an interpretation of the scores."""
      print(self.__init__.__doc__.split(".")[1].split("References")[0])
  
imports: from __future__ import annotations
  import functools
  import logging
  import os
  import sys
  from abc import abstractmethod
  from typing import Any, Callable, ClassVar, Dict, Generator, Generic, Sequence, Set, TypeVar, Optional, Union, TYPE_CHECKING, no_type_check
  import matplotlib.pyplot
  import numpy
  from sklearn.utils import gen_batches
  from tqdm.auto import tqdm
  from quantus.helpers import asserts, utils, warn
  from quantus.functions.normalise_func import normalise_by_max
  from quantus.helpers.enums import DataType, EvaluationCategory, ModelType, ScoreDirection
  from quantus.helpers.model.model_interface import ModelInterface
label_desc: Use image node_id 9 for calling the Metric obj's underlying member method code with example usage: obj.interpret_scores() without return types