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.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'
- w — defaults to
1.0
update
Update the metric.
Parameters
- y_true — 'numbers.Number'
- y_pred — 'numbers.Number'
- w — defaults to
1.0
works_with
Indicates whether or not a metric can work with a given model.
Parameters
- model