code: def __init__(
      self,
      C=1.0,
      epsilon=0.01,
      loss="hinge",
      fit_intercept=True,
      n_iter=1,
      random_state=None,
  ):
      self.C = C
      self.epsilon = epsilon
      self.loss = loss
      self.fit_intercept = fit_intercept
      self.n_iter = n_iter
  
imports: import numpy
  import pytest
  from sklearn.base import ClassifierMixin
  from sklearn.datasets import load_iris
  from sklearn.linear_model import PassiveAggressiveClassifier, PassiveAggressiveRegressor
  from sklearn.utils import check_random_state
  from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 1 to create a new MyPassiveAggressive object from inherited base classes: ClassifierMixin with example: obj = MyPassiveAggressive(C, epsilon, loss, fit_intercept, n_iter, random_state)