code: def __init__(
      self, degree, interaction_only, include_bias, random_state=None
  ):
      self.degree = degree
      self.interaction_only = interaction_only
      self.include_bias = include_bias
  
      self.random_state = random_state
      self.preprocessor = None
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/polynomial.py
imports: from typing import Optional
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformIntegerHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, INPUT, SPARSE, UNSIGNED_DATA
  from autosklearn.util.common import check_for_bool
label_desc: Use image node_id 1 to create a new PolynomialFeatures object from inherited base classes: AutoSklearnPreprocessingAlgorithm with example: obj = PolynomialFeatures(degree, interaction_only, include_bias, random_state)