class_docstr: Wrapper class for scikit-learn Decision Tree Regressor models.
docstr: Returns the id of the right child node of node_id.
  
  :return: The indices of the right child in the tree.
docstr_tok: ["Returns","the","id","of","the","right","child","node","of","node_id",".",":","return",":","The","indices","of","the","right","child","in","the","tree","."]
code: def get_right_child(self, node_id: int) -> int:
      """
      Returns the id of the right child node of node_id.
  
      :return: The indices of the right child in the tree.
      """
      return self.model.tree_.children_right[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 4 for calling the ScikitlearnDecisionTreeRegressor obj's underlying member method code with example usage: obj.get_right_child(node_id) and returns: self