JuliaAI / JuliaAI/MLJLinearModels.jl
Docs for L1+std
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documentation
- Dominant language
- Julia
- Stars
- 86
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
Following discussion on Slack
- in the docs (maybe in the quick start), add a brief example that does lasso with
fit!(machine(@pipeline(Standardizer(), MLJLinearModels.LogisticClassifier(penalty = :l1)), X, y)as described in issue #106. - In the warning that is printed, direct the user to the above docs.
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 with the documentation, possibly the quick-start section, and locate the warning that is printed for the L1 logistic-classifier case. Add the brief lasso example described here and in issue #106, then direct the warning to that documentation. Done means both the example and warning guidance are present and the documented command is usable.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100