Skip to content

Add wrappers for pyensmallen #551

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

Open
janosg opened this issue Nov 13, 2024 · 8 comments
Open

Add wrappers for pyensmallen #551

janosg opened this issue Nov 13, 2024 · 8 comments
Labels
enhancement New feature or request good first issue Good for newcomers

Comments

@janosg
Copy link
Member

janosg commented Nov 13, 2024

The library is now available on pypi: https://pypi.org/project/pyensmallen/

We can reach out to @apoorvalal if we have questions.

@janosg janosg added the enhancement New feature or request label Nov 13, 2024
@gauravmanmode
Copy link
Contributor

hi, is this still relevant. can i try working on this?

@janosg
Copy link
Member Author

janosg commented Mar 9, 2025

Hi @gauravmanmode, yes this is still relevant!

@apoorvalal
Copy link

thanks for taking this on, @gauravmanmode ; happy to answer any questions. The examples in the pyensmallen repo should give you a good start.

@AashifAmeer
Copy link

can i work on this at the same time? @janosg @apoorvalal

@janosg
Copy link
Member Author

janosg commented Mar 9, 2025

Hi @AashifAmeer, let's not duplicate work (unless you know each other and are working together). I opened #560 as alternative issue you could work on.

@AashifAmeer
Copy link

@janosg ,sure, will work on the next issue

@gauravmanmode
Copy link
Contributor

okay i will see the examples and try to understand.

@gauravmanmode
Copy link
Contributor

gauravmanmode commented Mar 13, 2025

To add an optimizer:

⬜️| Translate the names of all frequently occurring tuning parameters to our naming scheme and find good and descriptive names for the remaining ones
⬜️| Translate the optimizer output to an optimagic.InternalOptimizeResult
⬜️| Provide information about the optimizer via the mark.minimizer decorator.
⬜️| Create a subclass of Algorithm and do the actual optimization in _solve_internal_problem
⬜️| Create benchmarks and improve the default values of tuning parameters.
⬜️| Write documentation

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request good first issue Good for newcomers
Projects
None yet
Development

No branches or pull requests

4 participants