class_docstr: Tests tabular hot-flips on classification tasks.
class_docstr_tok: ["Tests","tabular","hot-flips","on","classification","tasks","."]
docstr: Tests the case when the client specifies a key that doesn't exist.
code: def test_incorrect_prediction_key(self):
      """Tests the case when the client specifies a key that doesn't exist."""
      self._config["Prediction key"] = "wrong_key"
      with self.assertRaisesRegex(ValueError, "Invalid prediction key"):
          self._gen.generate(
              example=self._example,
              model=self._model,
              dataset=self._dataset,
              config=self._config,
          )
  
imports: from unittest import mock
  from absl.testing import absltest
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.components import minimal_targeted_counterfactuals
  from lit_nlp.lib import caching
  import numpy
  import scipy.special
label_desc: Use image node_id 4 for calling the ClassificationTabularMtcTest obj's underlying member method code with example usage: obj.test_incorrect_prediction_key() without return types