class_docstr: Class that is responsible for learning models and computing their metrics
class_docstr_tok: ["Class","that","is","responsible","for","learning","models","and","computing","their","metrics"]
code: def _remove_models(list_models):
      get_eval_logger().debug(
          "Remove models {}".format(str(list_models))
      )
      for model in list_models:
          model.delete()
  
imports: from __future__ import print_function
  import os
  import time
  from ..None import CatBoostError
  from ..eval.log_config import get_eval_logger
  from ..eval.utils import make_dirs_if_not_exists
  from ..eval.evaluation_result import CaseEvaluationResult
  from ._fold_model import FoldModel
label_desc: Use image node_id 9 for calling the FoldModelsHandler obj's underlying member method code with example usage: obj._remove_models(list_models) without return types