Method get_config

tensorflow/python/keras/metrics.py:1858–1869

(self)

        [(v, np.zeros((self.num_thresholds,))) for v in self.variables])

  def get_config(self):
    config = {
        'num_thresholds': self.num_thresholds,
        'curve': self.curve.value,
        'summation_method': self.summation_method.value,
        # We remove the endpoint thresholds as an inverse of how the thresholds
        # were initialized. This ensures that a metric initialized from this
        # config has the same thresholds.
        'thresholds': self.thresholds[1:-1],
    }
    base_config = super(AUC, self).get_config()
    return dict(list(base_config.items()) + list(config.items()))


@keras_export('keras.metrics.CosineSimilarity')