Olivier Sprangers

Hi, Thanks for your kind words and using the package. In practice, it is nearly always the case that the observed frequency does not match entirely with the predicted frequency...

Ok - what do you mean with: > But it seems I cannot use the customized loss functions in the code. I look forward to you updating this version. :)...

Yeah that's not possible (in general). You can't directly optimize the (ensemble) CRPS, as you can't compute the gradient of the CRPS. That's why to optimize the CRPS, I'd advise...

@valeman 1) I actually recommend conformal prediction to this user for this problem, as I agree it can produce better intervals (not in every case, but definitely so for problems...

> Nothing personal here, I just think the statement that was made is fundamentally flawed. Thanks for clarifying 👍 > Of course if the data is changing completely it is...

Thanks for the reference to Crepes. Unfortunately I can't read the Medium article (paywall). Where can I find the example of producing a full distribution with Crepes? (not familiar with...

@zhongguojunhun1 Do you still experience issues?

@tracykteal I think this can be closed as the plugin has been completely rewritten and no longer has this bug. If it happens, users should update the plugin.

@AzulGarza I think we can close this as we did not merge the PR following the implementation of processing partititions in parallel?

> I think the strategy to clean the notebooks here is similar to neuralforecast: > > * `nbdev_clean --clear_all` > * `git restore nbs/examples` > Can you please try that?...