code: def __init__(self, keep_variance, whiten, random_state=None):
      self.keep_variance = keep_variance
      self.whiten = whiten
  
      self.random_state = random_state
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/pca.py
imports: from typing import Optional
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformFloatHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, UNSIGNED_DATA
  from autosklearn.util.common import check_for_bool
label_desc: Use image node_id 1 to create a new PCA object from inherited base classes: AutoSklearnPreprocessingAlgorithm with example: obj = PCA(keep_variance, whiten, random_state)