class_docstr: Attributes:
      params (dict): Contains ``'epoch'`` and ``'steps_per_epoch'`` keys which are passed to the
          when training. Contains ``'steps'`` when evaluating. May contain other keys.
      model (Model): A reference to the :class:`~poutyne.Model` object which is using the callback.
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docstr: Is called before the end of the testing.
  
  Args:
      logs (dict): Contains the following keys:
  
           * ``'time'``: The total computation time of the test.
           * ``'test_loss'``: The average loss of the batches on the test set.
           * Values of testing metrics: One key for each type of metrics. Each key is
             prefixed by ``'test_'``. The metrics are also averaged.
  
  Example::
  
      logs = {'time': 6.08248, 'test_loss': 0.40161, 'test_acc': 89.052, 'test_fscore_micro': 0.89051}
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code: def on_test_end(self, logs: Dict):
      """
      Is called before the end of the testing.
  
      Args:
          logs (dict): Contains the following keys:
  
               * ``'time'``: The total computation time of the test.
               * ``'test_loss'``: The average loss of the batches on the test set.
               * Values of testing metrics: One key for each type of metrics. Each key is
                 prefixed by ``'test_'``. The metrics are also averaged.
  
      Example::
  
          logs = {'time': 6.08248, 'test_loss': 0.40161, 'test_acc': 89.052, 'test_fscore_micro': 0.89051}
      """
      pass
  
imports: from typing import Dict, Sequence
label_desc: Use image node_id 19 for calling the Callback obj's underlying member method code with example usage: obj.on_test_end(logs) without return types