class_docstr: Base Evaluation class.
code: def _fit(self, X, y, job):
      with ParallelEvaluation(self.backend, self.n_jobs) as manager:
          manager.process(self, job, X, y)
  
imports: from __future__ import division, with_statement
  import warnings
  import numpy
  from ._base_functions import parse_key, set_job, cat, check_scorer, make_learners, make_tansformers, check_instances
  from ..index import FoldIndex
  from ..parallel import ParallelEvaluation
  from ..parallel.base import BaseBackend, IndexMixin
  from ..metrics import Data, assemble_data
  from ..utils.formatting import _flatten, _check_instances
  from ..utils import print_time, safe_print, assert_correct_format
  from ..externals.joblib import delayed
  from ..externals.sklearn.base import clone
label_desc: Use image node_id 5 for calling the BaseEval obj's underlying member method code with example usage: obj._fit(X, y, job) without return types