code: def __init__(
      self,
      estimator,
      param_grid,
      scoring=None,
      n_jobs=None,
      iid="warn",
      refit=True,
      cv="warn",
      verbose=0,
      pre_dispatch="2*n_jobs",
      error_score="raise-deprecating",
      return_train_score=False,
  ):
      self.estimator = estimator
      self.param_grid = param_grid
      self.scoring = scoring
      self.n_jobs = n_jobs
      self.iid = iid
      self.refit = refit
      self.cv = cv
      self.verbose = verbose
      self.pre_dispatch = pre_dispatch
      self.error_score = error_score
      self.return_train_score = return_train_score
  
imports: import re
  from pprint import PrettyPrinter
  import numpy
  from sklearn.utils._pprint import _EstimatorPrettyPrinter
  from sklearn.linear_model import LogisticRegressionCV
  from sklearn.pipeline import make_pipeline
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.feature_selection import SelectKBest, chi2
  from sklearn import config_context
label_desc: Use image node_id 1 to create a new GridSearchCV object from inherited base classes: BaseEstimator with example: obj = GridSearchCV(estimator, param_grid, scoring, n_jobs, iid, refit, cv, verbose, pre_dispatch, error_score, return_train_score)