code: def __init__(
      self,
      kernel,
      n_components,
      gamma=1.0,
      degree=3,
      coef0=1,
      random_state=None,
  ):
      self.kernel = kernel
      self.n_components = n_components
      self.gamma = gamma
      self.degree = degree
      self.coef0 = coef0
      self.random_state = random_state
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/nystroem_sampler.py
imports: from typing import Optional
  from ConfigSpace.conditions import EqualsCondition, InCondition
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformFloatHyperparameter, UniformIntegerHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, INPUT, SIGNED_DATA, SPARSE, UNSIGNED_DATA
label_desc: Use image node_id 1 to create a new Nystroem object from inherited base classes: AutoSklearnPreprocessingAlgorithm with example: obj = Nystroem(kernel, n_components, gamma, degree, coef0, random_state)