code: def __init__(self, random_state=None, verbose=0):
      self.random_state = random_state
      self.verbose = int(verbose)
      self.estimator = None
  
file_path: auto-sklearn/autosklearn/pipeline/components/classification/gaussian_nb.py
imports: from typing import Optional
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, UNSIGNED_DATA
label_desc: Use image node_id 1 to create a new GaussianNB object from inherited base classes: AutoSklearnClassificationAlgorithm with example: obj = GaussianNB(random_state, verbose)