code: def __init__(self, solver, tol, shrinkage=None, random_state=None):
      self.solver = solver
      self.shrinkage = shrinkage
      self.tol = tol
      self.random_state = random_state
      self.preprocessor = None
  
imports: from typing import Optional
  from pprint import pprint
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import UniformFloatHyperparameter, CategoricalHyperparameter
  from ConfigSpace.conditions import InCondition
  import sklearn.metrics
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  import autosklearn.classification
  import autosklearn.pipeline.components.feature_preprocessing
  from autosklearn.pipeline.components.base import AutoSklearnPreprocessingAlgorithm
  from autosklearn.pipeline.constants import DENSE, SIGNED_DATA, UNSIGNED_DATA
  from autosklearn.util.common import check_none
  from sklearn.datasets import load_breast_cancer
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 1 to create a new LDA object from inherited base classes: AutoSklearnPreprocessingAlgorithm with example: obj = LDA(solver, tol, shrinkage, random_state)