code: def test_if_embedding_classification_works_on_sparse_input(self):
      for classifier in self.classifiers():
          self.assertClassifierWorksWithSparsity(classifier, "sparse")
          self.assertClassifierPredictsProbabilities(
              classifier, "sparse"
          )
  
file_path: scikit-multilearn/skmultilearn/embedding/unit_tests/test_classifier.py
imports: import unittest
  import sys, platform
  from skmultilearn.adapt import MLkNN
  from skmultilearn.cluster import LabelCooccurrenceGraphBuilder
  from skmultilearn.embedding import CLEMS, SKLearnEmbedder, EmbeddingClassifier
  from skmultilearn.tests.classifier_basetest import ClassifierBaseTest
  from sklearn.linear_model import LinearRegression
  from sklearn.manifold import SpectralEmbedding
  from copy import copy
  import sklearn.metrics
label_desc: Use image node_id 2 for calling the EmbeddingTest obj's underlying member method code with example usage: obj.test_if_embedding_classification_works_on_sparse_input() without return types