class_docstr: Wrapper class for scikit-learn Decision Tree Regressor models.
docstr: Returns the feature of given id for a node.
  
  :return: Normalized values at node node_id.
docstr_tok: ["Returns","the","feature","of","given","id","for","a","node",".",":","return",":","Normalized","values","at","node","node_id","."]
code: def get_values_at_node(self, node_id: int) -> np.ndarray:
      """
      Returns the feature of given id for a node.
  
      :return: Normalized values at node node_id.
      """
      return self.model.tree_.value[node_id]
  
imports: import logging
  import os
  import pickle
  from copy import deepcopy
  from typing import List, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  from art.estimators.scikitlearn import ScikitlearnEstimator
  from art.estimators.regression.regressor import RegressorMixin
  from art import config
label_desc: Use image node_id 2 for calling the ScikitlearnDecisionTreeRegressor obj's underlying member method code with example usage: obj.get_values_at_node(node_id) and returns: self