MacroAverage¶
Macro-average wrapper.
A copy of the provided metric is made for each output. The arithmetic average of all the metrics is returned.
Parameters¶
-
metric
A classification or a regression metric.
Attributes¶
-
bigger_is_better
Indicate if a high value is better than a low one or not.
-
metric
Gives access to the wrapped metric.
-
requires_labels
-
works_with_weights
Indicate whether the model takes into consideration the effect of sample weights
Methods¶
get
Return the current value of the metric.
is_better_than
revert
Revert the metric.
Parameters
- y_true
- y_pred
- sample_weight – defaults to
1.0
update
Update the metric.
Parameters
- y_true
- y_pred
- sample_weight – defaults to
1.0
works_with
Indicates whether or not a metric can work with a given model.
Parameters
- model (river.base.estimator.Estimator)