code: def __init__(self, copy=True, with_mean=True, with_std=True):
      self.with_mean = with_mean
      self.with_std = with_std
      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 StandardScaler object from inherited base classes: TransformerMixin, BaseEstimator with example: obj = StandardScaler(copy, with_mean, with_std)