code: def __init__(self, alpha, thetaL, thetaU, random_state=None):
      self.alpha = alpha
      self.thetaL = thetaL
      self.thetaU = thetaU
      self.random_state = random_state
      self.estimator = None
  
file_path: auto-sklearn/autosklearn/pipeline/components/regression/gaussian_process.py
imports: from typing import Optional
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import UniformFloatHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnRegressionAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, UNSIGNED_DATA
label_desc: Use image node_id 1 to create a new GaussianProcess object from inherited base classes: AutoSklearnRegressionAlgorithm with example: obj = GaussianProcess(alpha, thetaL, thetaU, random_state)