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 _create_pool(fold_file, thread_count=-1):
      from .. import Pool
  
      data_pool = Pool(
          fold_file.path(),
          column_description=fold_file.column_description(),
          delimiter=fold_file.get_separator(),
          thread_count=thread_count,
      )
      return data_pool
  
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 11 for calling the FoldModelsHandler obj's underlying member method code with example usage: obj._create_pool(fold_file, thread_count) and returns: data_pool