code: def __init__(
      self, estimator, n_features_to_select=None, step=1, verbose=0
  ):
      self.estimator = estimator
      self.n_features_to_select = n_features_to_select
      self.step = step
      self.verbose = verbose
  
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 RFE object from inherited base classes: BaseEstimator with example: obj = RFE(estimator, n_features_to_select, step, verbose)