code: def convert_sklearn_decision_tree_regressor(
      operator, device, extra_config
  ):
      """
      Converter for `sklearn.tree.DecisionTreeRegressor`.
  
      Args:
          operator: An operator wrapping a `sklearn.tree.DecisionTreeRegressor` model
          device: String defining the type of device the converted operator should be run on
          extra_config: Extra configuration used to select the best conversion strategy
  
      Returns:
          A PyTorch model
      """
      assert operator is not None, "Cannot convert None operator"
  
      operator.raw_operator.estimators_ = [operator.raw_operator]
      return convert_sklearn_random_forest_regressor(
          operator, device, extra_config
      )
  
file_path: hummingbird/hummingbird/ml/operator_converters/sklearn/decision_tree.py
imports: import copy
  from onnxconverter_common.registration import register_converter
  from ..None import constants
  from .._tree_commons import get_parameters_for_sklearn_common, get_parameters_for_tree_trav_sklearn
  from .._tree_commons import convert_decision_ensemble_tree_common
label_desc: Use image node_id 4 for calling a global function with example usage: convert_sklearn_decision_tree_regressor(operator, device, extra_config) and returns: convert_sklearn_random_forest_regressor