class_docstr: Wrapper class for scikit-learn Decision Tree Regressor models.
docstr: Returns the threshold of given id for a node.
  
  :return: Threshold value of feature split in this node.
docstr_tok: ["Returns","the","threshold","of","given","id","for","a","node",".",":","return",":","Threshold","value","of","feature","split","in","this","node","."]
code: def get_threshold_at_node(self, node_id: int) -> float:
      """
      Returns the threshold of given id for a node.
  
      :return: Threshold value of feature split in this node.
      """
      return self.model.tree_.threshold[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 6 for calling the ScikitlearnDecisionTreeRegressor obj's underlying member method code with example usage: obj.get_threshold_at_node(node_id) and returns: self