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SMAPE

Symmetric mean absolute percentage error.

Attributes

  • bigger_is_better

    Indicate if a high value is better than a low one or not.

  • works_with_weights

    Indicate whether the model takes into consideration the effect of sample weights

Examples

>>> from river import metrics

>>> y_true = [0, 0.07533, 0.07533, 0.07533, 0.07533, 0.07533, 0.07533, 0.0672, 0.0672]
>>> y_pred = [0, 0.102, 0.107, 0.047, 0.1, 0.032, 0.047, 0.108, 0.089]

>>> metric = metrics.SMAPE()
>>> for yt, yp in zip(y_true, y_pred):
...     metric = metric.update(yt, yp)

>>> metric
SMAPE: 37.869392

Methods

get

Return the current value of the metric.

is_better_than
revert

Revert the metric.

Parameters

  • y_true (numbers.Number)
  • y_pred (numbers.Number)
  • sample_weight – defaults to 1.0
update

Update the metric.

Parameters

  • y_true (numbers.Number)
  • y_pred (numbers.Number)
  • sample_weight – defaults to 1.0
works_with

Indicates whether or not a metric can work with a given model.

Parameters

  • model