code: def __init__(
      self, C, fit_intercept, tol, loss, average, random_state=None
  ):
      self.C = C
      self.fit_intercept = fit_intercept
      self.average = average
      self.tol = tol
      self.loss = loss
      self.random_state = random_state
      self.estimator = None
      self.max_iter = self.get_max_iter()
      self.n_iter_ = None
  
imports: from typing import Optional
  import numpy
  from ConfigSpace.configuration_space import ConfigurationSpace
  from ConfigSpace.hyperparameters import CategoricalHyperparameter, UniformFloatHyperparameter, UnParametrizedHyperparameter
  from autosklearn.askl_typing import FEAT_TYPE_TYPE
  from autosklearn.pipeline.components.base import AutoSklearnClassificationAlgorithm, IterativeComponentWithSampleWeight
  from autosklearn.pipeline.constants import DENSE, PREDICTIONS, SPARSE, UNSIGNED_DATA
  from autosklearn.pipeline.implementations.util import softmax
  from autosklearn.util.common import check_for_bool
label_desc: Use image node_id 1 to create a new PassiveAggressive object from inherited base classes: IterativeComponentWithSampleWeight, AutoSklearnClassificationAlgorithm with example: obj = PassiveAggressive(C, fit_intercept, tol, loss, average, random_state)