class_docstr: "Load the global configuration before calling the function.
class_docstr_tok: ["``","Load","the","global","configuration","before","calling","the","function","."]
code: def __call__(self, *args, **kwargs):
      with config_context(**self.config):
          return self.function(*args, **kwargs)
  
imports: import functools
  import logging
  import numbers
  import time
  import warnings
  from collections import Counter
  from contextlib import suppress
  from itertools import compress
  from traceback import format_exc
  import numpy
  import scipy.sparse
  from catboost import CatBoostClassifier, CatBoostRegressor
  from joblib import Parallel, logger
  from scipy.sparse import issparse
  from sklearn import config_context, get_config
  from sklearn.base import clone, is_classifier
  from sklearn.exceptions import FitFailedWarning, NotFittedError
  from sklearn.metrics import check_scoring
  from sklearn.metrics._scorer import _MultimetricScorer
  from sklearn.model_selection import check_cv
  from sklearn.utils.fixes import np_version, parse_version
  from sklearn.utils.validation import indexable
label_desc: Use image node_id 2 for calling the _FuncWrapper obj's underlying member method code with example usage: obj.__call__() and returns: self