code: def __init__(
      self, shrinkage, tol, shrinkage_factor=0.5, random_state=None
  ):
      self.shrinkage = shrinkage
      self.tol = tol
      self.shrinkage_factor = shrinkage_factor
      self.estimator = None
  
file_path: auto-sklearn/autosklearn/pipeline/components/classification/lda.py
imports: from typing import Optional
  from ConfigSpace.conditions import EqualsCondition
  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 AutoSklearnClassificationAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, UNSIGNED_DATA
  from autosklearn.pipeline.implementations.util import softmax
  from autosklearn.util.common import check_none
label_desc: Use image node_id 1 to create a new LDA object from inherited base classes: AutoSklearnClassificationAlgorithm with example: obj = LDA(shrinkage, tol, shrinkage_factor, random_state)