code: def __init__(self, reg_param, random_state=None):
      self.reg_param = float(reg_param)
      self.estimator = None
  
file_path: auto-sklearn/autosklearn/pipeline/components/classification/qda.py
imports: from typing import Optional
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import 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
label_desc: Use image node_id 1 to create a new QDA object from inherited base classes: AutoSklearnClassificationAlgorithm with example: obj = QDA(reg_param, random_state)