code: def predict(self, X):
      if self.estimator is None:
          raise NotImplementedError
      return self.estimator.predict(X)
  
file_path: auto-sklearn/autosklearn/pipeline/components/regression/decision_tree.py
imports: from typing import Optional
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, Constant, UniformFloatHyperparameter, UniformIntegerHyperparameter, UnParametrizedHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnRegressionAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SPARSE, UNSIGNED_DATA
  from autosklearn.util.common import check_none
label_desc: Use image node_id 3 for calling the DecisionTree obj's underlying member method code with example usage: obj.predict(X) and returns: self