JuliaAI / JuliaAI/MLJLinearModels.jl
Fwd / Backward selection + regression metrics
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 86
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
- All regressions have residuals, there could be metrics on the residuals. In most cases it would make more sense to just implement them in MLJBase and use them here
- FWD/BWD selection procedure is a bit dumb and expensive but people use it I guess.
Contributor guide
No contributing guide indexed for this repository
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
The issue names no files, tests, or entry points. First clarify whether the work covers residual metrics, forward/backward selection, or both, then identify the relevant MLJBase and MLJLinearModels entry points and define tests and completion criteria with maintainers.
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