code: def __init__(
      self,
      n_estimators,
      learning_rate,
      algorithm,
      max_depth,
      random_state=None,
  ):
      self.n_estimators = n_estimators
      self.learning_rate = learning_rate
      self.algorithm = algorithm
      self.random_state = random_state
      self.max_depth = max_depth
      self.estimator = None
  
file_path: auto-sklearn/autosklearn/pipeline/components/classification/adaboost.py
imports: from typing import Optional
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformFloatHyperparameter, UniformIntegerHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SPARSE, UNSIGNED_DATA
label_desc: Use image node_id 1 to create a new AdaboostClassifier object from inherited base classes: AutoSklearnClassificationAlgorithm with example: obj = AdaboostClassifier(n_estimators, learning_rate, algorithm, max_depth, random_state)