code: def __repr__(self):
      attr_list = [
          "estimator_",
          "reg_param_list",
          "shrinkage_scheme_",
          "cv",
          "scoring",
      ]
      s = self.__class__.__name__
      s += "("
      for attr in attr_list:
          s += attr + "=" + repr(getattr(self, attr)) + ", "
      s = s[:-2] + ")"
      return s
  
imports: import time
  from copy import deepcopy
  from typing import List
  import numpy
  from sklearn import datasets
  from sklearn.base import BaseEstimator, RegressorMixin, ClassifierMixin
  from sklearn.metrics import r2_score, mean_squared_error, log_loss
  from sklearn.model_selection import cross_val_score, KFold
  from sklearn.model_selection import train_test_split
  from sklearn.tree import DecisionTreeRegressor, DecisionTreeClassifier, export_text
  from sklearn.ensemble import GradientBoostingClassifier, GradientBoostingRegressor, RandomForestRegressor
  from imodels.util import checks
  from imodels.util.arguments import check_fit_arguments
  from imodels.util.tree import compute_tree_complexity
label_desc: Use image node_id 3 for calling the HSTreeClassifierCV obj's underlying member method code with example usage: obj.__repr__() and returns: s