code: def test_parameters(self):
      assert (
          hasattr(self.clf, "decision_scores_")
          and self.clf.decision_scores_ is not None
      )
      assert (
          hasattr(self.clf, "labels_") and self.clf.labels_ is not None
      )
      assert (
          hasattr(self.clf, "threshold_")
          and self.clf.threshold_ is not None
      )
      assert hasattr(self.clf, "_mu") and self.clf._mu is not None
      assert hasattr(self.clf, "_sigma") and self.clf._sigma is not None
      assert hasattr(self.clf, "model") and self.clf.model is not None
  
imports: from __future__ import division
  from __future__ import print_function
  import os
  import sys
  import unittest
  import numpy
  import torch
  from numpy.testing import assert_almost_equal
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises
  from sklearn.metrics import roc_auc_score
  from pyod.models.auto_encoder_torch import AutoEncoder
  from pyod.utils.data import generate_data
  from pyod.models.auto_encoder_torch import PyODDataset
label_desc: Use image node_id 2 for calling the TestAutoEncoder obj's underlying member method code with example usage: obj.test_parameters() without return types