code: def get_labelpowerset_with_nb(self):
      return LabelPowerset(
          classifier=GaussianNB(), require_dense=[True, True]
      )
  
file_path: scikit-multilearn/skmultilearn/ensemble/tests/test_partition.py
imports: import unittest
  import sys
  from sklearn.naive_bayes import GaussianNB
  from sklearn.svm import SVC
  from skmultilearn.ensemble import LabelSpacePartitioningClassifier
  from skmultilearn.problem_transform import LabelPowerset
  from skmultilearn.tests.classifier_basetest import ClassifierBaseTest
  from skmultilearn.cluster.tests.test_networkx import get_networkx_clusterers
  from skmultilearn.cluster.tests.test_matrix import get_matrix_clusterers
label_desc: Use image node_id 2 for calling the LabelSpacePartitioningClassifierTest obj's underlying member method code with example usage: obj.get_labelpowerset_with_nb() and returns: LabelPowerset