code: def test_assertion_meta_feature_generator(self):
      np.random.seed(8)
      self.assertRaises(
          exceptions.UserError,
          functions.verify_estimator_class,
          RandomForestClassifier(),
          "decision_function",
          dict(Accuracy=self.source),
          self.dataset_properties,
      )
  
imports: from __future__ import absolute_import, print_function, division, unicode_literals
  import unittest
  import os
  import numpy
  from xcessiv import functions, exceptions
  from sklearn.datasets import load_digits
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.decomposition import PCA
  from sklearn.pipeline import Pipeline
  import pickle
label_desc: Use image node_id 5 for calling the TestVerifyEstimatorClass obj's underlying member method code with example usage: obj.test_assertion_meta_feature_generator() without return types