docstr: Get a sequence on ensembles that are on the pareto front
  
  Raises
  ------
  SklearnNotFittedError
      If ``fit`` has not been called and the pareto set does not exist yet
  
  Returns
  -------
  Sequence[AbstractEnsemble]
docstr_tok: ["Get","a","sequence","on","ensembles","that","are","on","the","pareto","front","Raises","--","--","--","SklearnNotFittedError","If","``","fit","``","has","not","been","called","and","the","pareto","set","does","not","exist","yet","Returns","--","--","--","-","Sequence","[","AbstractEnsemble","]"]
code: def pareto_set(self) -> Sequence[AbstractEnsemble]:
      """Get a sequence on ensembles that are on the pareto front
  
      Raises
      ------
      SklearnNotFittedError
          If ``fit`` has not been called and the pareto set does not exist yet
  
      Returns
      -------
      Sequence[AbstractEnsemble]
      """
      ...
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Any, Dict, List, Sequence, Tuple, Union
  import numpy
  from autosklearn.automl_common.common.utils.backend import Backend
  from autosklearn.data.validation import SUPPORTED_FEAT_TYPES
  from autosklearn.ensemble_building.run import Run
  from autosklearn.metrics import Scorer
  from autosklearn.pipeline.base import BasePipeline
label_desc: Use image node_id 1 for calling the AbstractMultiObjectiveEnsemble obj's underlying member method code with example usage: obj.pareto_set() without return types