Metrics¶
A container class for handling multiple metrics at once.
Parameters¶
-
metrics
-
str_sep
Default →
,
Attributes¶
-
bigger_is_better
Indicate if a high value is better than a low one or not.
-
requires_labels
-
works_with_weights
Indicate whether the model takes into consideration the effect of sample weights
Methods¶
is_better_than
Indicate if the current metric is better than another one.
Parameters
- other
revert
Revert 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 — 'base.Estimator'