Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Understanding uncertainties of Bayesan ConvLSTM output #1

Open
jekmasto opened this issue Jan 20, 2022 · 0 comments
Open

Understanding uncertainties of Bayesan ConvLSTM output #1

jekmasto opened this issue Jan 20, 2022 · 0 comments

Comments

@jekmasto
Copy link

Thanks very much for sharing the code, great job.
I'm trying to use your example regarding the prediction of the Lorenz 84 model with Bayesan ConvLSTM.
The example works without any problems, but I didn't understand how to have access to the uncertainties about the model fitness.
Are uncertainties the third output of this line? last_pred, _, _ = model(y_pred,timestep, training=False)

Thank you so much in advance

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant