code: def __init__(
      self,
      missing_values=np.nan,
      strategy="mean",
      fill_value=None,
      verbose=0,
      copy=True,
  ):
      self.missing_values = missing_values
      self.strategy = strategy
      self.fill_value = fill_value
      self.verbose = verbose
      self.copy = copy
  
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 SimpleImputer object from inherited base classes: BaseEstimator with example: obj = SimpleImputer(missing_values, strategy, fill_value, verbose, copy)