code: def test_predict_multiclass(self):
      clf = ConfidenceEnhancedLinearSVC()
      categories = ["alt.atheism", "comp.graphics", "sci.med"]
      x, y = self._get_20news_vectors(categories=categories)
  
      clf.fit(x, y)
  
      y_pred = clf.predict(x)
  
      self.assertEqual(1, len(y_pred.shape))
      self.assertEqual(x.shape[0], y_pred.shape[0])
      self.assertTrue(all((y_pred >= 0) & (y_pred <= 2)))
  
file_path: small-text/tests/integration/classifiers/test_svm.py
imports: import unittest
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.feature_extraction.text import CountVectorizer
  from small_text.classifiers import ConfidenceEnhancedLinearSVC
label_desc: Use image node_id 4 for calling the ConfidenceEnhancedLinearSVCIntegrationTest obj's underlying member method code with example usage: obj.test_predict_multiclass() without return types