code: def __init__(
      self, algorithm, whiten, fun, n_components=None, random_state=None
  ):
      self.algorithm = algorithm
      self.whiten = whiten
      self.fun = fun
      self.n_components = n_components
  
      self.random_state = random_state
  
file_path: auto-sklearn/autosklearn/pipeline/components/feature_preprocessing/fast_ica.py
imports: from typing import Optional
  import warnings
  from ConfigSpace.conditions import EqualsCondition
  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, UNSIGNED_DATA
  from autosklearn.util.common import check_for_bool, check_none
label_desc: Use image node_id 1 to create a new FastICA object from inherited base classes: AutoSklearnPreprocessingAlgorithm with example: obj = FastICA(algorithm, whiten, fun, n_components, random_state)