from tensorflow.contrib.learn.python.learn.estimators import estimator_test_utils

    'precision/positive_threshold_0.500000_mean',
    'recall/positive_threshold_0.500000_mean',
}


class DNNLinearCombinedClassifierBenchmark(test.Benchmark):

  def _assertSingleClassMetrics(self, metrics):
    estimator_test_utils.assert_in_range(0.9, 1.0, 'auc', metrics)
    estimator_test_utils.assert_in_range(0.9, 1.0,
                                         'accuracy/threshold_0.500000_mean',
                                         metrics)
    estimator_test_utils.assert_in_range(
        0.9, 1.0, 'precision/positive_threshold_0.500000_mean', metrics)
    estimator_test_utils.assert_in_range(
        0.9, 1.0, 'recall/positive_threshold_0.500000_mean', metrics)
    self._assertCommonMetrics(metrics)

