code: def get_params(self, deep=True):
      d = {
          "reg_param": self.reg_param,
          "estimator_": self.estimator_,
          "shrinkage_scheme_": self.shrinkage_scheme_,
          "max_leaf_nodes": self.estimator_.max_leaf_nodes,
      }
      if deep:
          return deepcopy(d)
      return d
  
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 2 for calling the HSTree obj's underlying member method code with example usage: obj.get_params(deep) and returns: d, deepcopy