Disagreement¶
- class torch_uncertainty.metrics.classification.Disagreement(reduction='mean', **kwargs)[source]¶
The Disagreement Metric to estimate the confidence of an ensemble of estimators.
- Parameters:
reduction (str, optional) –
Determines how to reduce over the \(B\)/batch dimension:
'mean'
[default]: Averages score across samples'sum'
: Sum score across samples'none'
orNone
: Returns score per sample
kwargs – Additional keyword arguments, see Advanced metric settings.
- Inputs:
probs
: \((B, N, C)\)
where \(B\) is the batch size, \(C\) is the number of classes and \(N\) is the number of estimators.
Note
A higher disagreement means a lower confidence.
Warning
Make sure that the probabilities in
probs
are normalized to sum to one.- Raises:
ValueError – If
reduction
is not one of'mean'
,'sum'
,'none'
orNone
.