credit.losses.almost_fair_crps#
Classes#
Calculates CRPS loss that has corrections for very small ensembles. |
Module Contents#
- class credit.losses.almost_fair_crps.AlmostFairKCRPSLoss(alpha=1.0, reduction='mean', no_autocast=True)#
Bases:
torch.nn.ModuleCalculates CRPS loss that has corrections for very small ensembles.
- alpha = 1.0#
- reduction = 'mean'#
- no_autocast = True#
- batched_forward#
- forward(target, pred)#
- single_sample_forward(target, pred)#
- Parameters:
target – shape (1, c, t, lat, lon)
pred – shape (ensemble, c, t, lat, lon)
- Returns:
shape (c, t, lat, lon)
- Return type:
crps
- _kernel_crps(preds: torch.Tensor, targets: torch.Tensor, alpha: float)#
- Parameters:
preds – (c, t, lat, lon, ensemble)
targets – (c, t, lat, lon)
- Returns:
(c, t, lat, lon)
- Return type:
crps