JuliaAI / JuliaAI/MLJLinearModels.jl
generalized / group lasso
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Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 86
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
there are a few other regularized forms of Lasso / ElasticNet I would find useful, like group lasso, trend filtering, generalized lasso (& generalized Tikhonov). is this compatible with existing design of solvers?
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 reviewing the existing Lasso and ElasticNet solver design and how their regularization forms are represented. Compare the requested group lasso, trend filtering, generalized lasso, and generalized Tikhonov options against that design. The work is not ready to start until the supported forms and compatibility approach are defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100