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, "weights_")
          and self.clf.weights_ is not None
      )
      assert hasattr(self.clf, "means_") and self.clf.means_ is not None
      assert (
          hasattr(self.clf, "covariances_")
          and self.clf.covariances_ is not None
      )
      assert (
          hasattr(self.clf, "precisions_")
          and self.clf.precisions_ is not None
      )
      assert (
          hasattr(self.clf, "precisions_cholesky_")
          and self.clf.precisions_cholesky_ is not None
      )
      assert (
          hasattr(self.clf, "converged_")
          and self.clf.converged_ is not None
      )
      assert (
          hasattr(self.clf, "n_iter_") and self.clf.n_iter_ is not None
      )
      assert (
          hasattr(self.clf, "lower_bound_")
          and self.clf.lower_bound_ is not None
      )
  
imports: from __future__ import division, print_function
  import os
  import sys
  import unittest
  from numpy.testing import assert_array_less, assert_equal, assert_raises
  from sklearn.base import clone
  from sklearn.metrics import roc_auc_score
  from pyod.models.gmm import GMM
  from pyod.utils.data import generate_data_clusters
label_desc: Use image node_id 2 for calling the TestGMM obj's underlying member method code with example usage: obj.test_parameters() without return types