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_model_dir():
      try:
          if os.path.exists(FoldModelsHandler.__MODEL_DIR):
              os.rmdir(FoldModelsHandler.__MODEL_DIR)
      except OSError as err:
          get_eval_logger().warning(str(err))
  
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 1 for calling the FoldModelsHandler obj's underlying member method code with example usage: obj._remove_model_dir() without return types