BetaNLL#
- class torch_uncertainty.losses.BetaNLL(beta=0.5, reduction='mean')[source]#
The Beta Negative Log-likelihood loss.
- Parameters:
beta (float) – Parameter from range [0, 1] controlling relative weighting between data points, where 0 corresponds to high weight on low error points and 1 to an equal weighting.
reduction (str, optional) – specifies the reduction to apply to the output:
'none'
|'mean'
|'sum'
.
References