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

Is this library 'soft deprecated' in favor of Diffrax? #56

Open
kelleyjbrady opened this issue Dec 9, 2024 · 0 comments
Open

Is this library 'soft deprecated' in favor of Diffrax? #56

kelleyjbrady opened this issue Dec 9, 2024 · 0 comments

Comments

@kelleyjbrady
Copy link

kelleyjbrady commented Dec 9, 2024

I read https://www.pymc.io/projects/examples/en/latest/ode_models/ODE_Lotka_Volterra_multiple_ways.html and noticed the 'Bayesian Inference with Gradients' section the recommends to use sunode or diffrax to perform inference with gradients. The article linked for diffrax in that section (https://www.pymc-labs.com/blog-posts/jax-functions-in-pymc-3-quick-examples/) lists @aseyboldt (one of the authors of the Sunode library, and the sunode docs author) as the author alongside Ricardo Vieira with a 2023 publication date.

Given the pymc 4.0 release notes (published June 2022) describe a new Jax backend, and the copyright date of the SunODE docs is 2020 vs 2023 for the Diffrax examples I linked, is it reasonable to say that integration of the SunDials library with Pymc is at the very least tabled for now, and those generally looking to solve ODE's with pymc should use learn to use diffrax? Thanks

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