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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

Indicate if the current metric is better than another one.

Parameters

  • other

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