JuliaAI / JuliaAI/MLJLinearModels.jl
Test proxgrad with gamma=0
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- Dominant language
- Julia
- Stars
- 86
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
Following discussion in https://github.com/JuliaAI/MLJLinearModels.jl/pull/138 (https://github.com/JuliaAI/MLJLinearModels.jl/pull/138#issuecomment-1411411410) there shouldn't be an error if ISTA/FISTA is used with gamma=0 but it'd be good to check.
Might be even better to just have a shortcut if that's the case so that the prox operator is just the identity (and we just have some kind of gradient descent).
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the ISTA/FISTA or proxgrad implementation and its existing tests. Exercise the gamma=0 case and verify that it does not error; consider the issue's suggested identity prox-operator shortcut only if the surrounding design supports it.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning, testing-qa
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100