code: def get_classifier(self, base_classifier):
      for clusterer in generate_all_label_space_clusterers():
          yield LabelSpacePartitioningClassifier(
              classifier=base_classifier, clusterer=clusterer
          )
  
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 3 for calling the LabelSpacePartitioningClassifierTest obj's underlying member method code with example usage: obj.get_classifier(base_classifier) without return types