code: def test_predict_proba_on_empty_data(self):
      train_set = random_text_classification_dataset(10)
      test_set = PytorchTextClassificationDataset(np.array([]), None)
  
      clf = self._get_clf()
      clf.fit(train_set)
  
      proba = clf.predict_proba(test_set)
      self.assertEqual(0, proba.shape[0])
      self.assertTrue(np.issubdtype(proba.dtype, float))
  
imports: import unittest
  import pytest
  import numpy
  from unittest.mock import patch
  from small_text.base import LABEL_UNLABELED
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.training.metrics import Metric
  from small_text.training.early_stopping import EarlyStopping, EarlyStoppingOrCondition
label_desc: Use image node_id 10 for calling the KimCNNTest obj's underlying member method code with example usage: obj.test_predict_proba_on_empty_data() without return types