BetaNLL

class torch_uncertainty.losses.BetaNLL(beta=0.5, reduction='mean')

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 | None) – Specifies the reduction to apply to the output. Must be one of 'none', 'mean' or 'sum'.

References

[1] Seitzer, M., Tavakoli, A., Antic, D., & Martius, G. (2022). On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks.