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first of all I'd like to thank you for the great work.
I have a feature request for a new method which implements the 'continuous ranked probability score' for all distributions (for which it is possible, see f.e. Evaluating Probabilistic Forecasts with scoringRules).
This method would enable the use of the CRPS as loss function in the same way as the negative log likelihood is used. (f.e. crps_loss_fn = lambda y, p_y : p_y.crps(y) )
Kind Regards
The text was updated successfully, but these errors were encountered:
Hi,
first of all I'd like to thank you for the great work.
I have a feature request for a new method which implements the 'continuous ranked probability score' for all distributions (for which it is possible, see f.e. Evaluating Probabilistic Forecasts with scoringRules).
This method would enable the use of the
CRPS
as loss function in the same way as the negative log likelihood is used. (f.e.crps_loss_fn = lambda y, p_y : p_y.crps(y)
)Kind Regards
The text was updated successfully, but these errors were encountered: