Open msakai opened 4 years ago
I'm not actively developing this package anymore, so if you have any ideas on how to improve it I'm happy to give you carte blanche for it :).
Thanks you very much.
I'd like to
At the moment, I'm considering to add L-BFGS-B for (1), because I personally often use CG and L-BFGS-B in other languages.
Note that there are already two bindings for L-BFGS-B on Hackage, but I think none of them are widely used.
I'll make pull requests for (1) and (2) when I'm ready.
Sounds like a good improvement!
I’ve invited you as a collaborator to the GitHub project. Let me know what your username is on Hackage and I’ll give you uploading rights as well. (:
Hey folks, any news on this? I would be very exicted to see some progress in numerical optimization in haskell; considering we have cool packages like ad
, it's a shame that we don't have more NLP library in haskell.
Also, as I'm quite new to this field, is the algorithm in this lib (HagerZhang05
) considered "good and effective" or even standard?
@meteficha @riaqn
After three years, I finally went ahead with the plan.
Here are my initial attempts:
They currently support LBFGS
(through lbfgs
package), CG_DESCENT
(through this nonlinear-optimization
package), and naive Newton's method as optimization algorithms, and can be combined with ad
and backprop
.
I said that I would extend the nonlinear-optimization
package, but I changed the plan. One reason was the licensing issue, as I wanted to keep the GPL-licensed code (e.g. CG_DESCENT
and nonlinear-optimization
) as optional dependencies.
@meteficha
I’ve invited you as a collaborator to the GitHub project. Let me know what your username is on Hackage and I’ll give you uploading rights as well. (:
Sorry, I forgot to reply for three years. :bow:
My Hackage username is MasahiroSakai.
Although I changed my plan, I am still willing to do some maintenance work on this package, and I am delighted to be one of the maintainers of Hackage.
For now, I would like to reflect my recent PRs (#11, #12, #13) to Hackage as well.
I think it would be nice if there is a package like Python's scipy.optimize in Haskell world, which provides various optimization algorithms in the same interface in one-stop. And I think
nonlinear-optimization
is a good package name to accumulate various optimization algorithms.Also, I'm developing AD-enabling wrapper for
nonlinear-optimization
(nonlinear-optimization-ad and nonlinear-optimization-backprop). But writing such wrapper for each optimization algorithm and package is not economical, and writing only one wrapper for the one-stop package is much better.