JuliaAI/MLJTuning.jl
View on GitHubHyperparameter optimization algorithms for use in the MLJ machine learning framework
- Stars
- 70
- Forks
- 12
- Open beginner issues
- 0
- Indexed issues
- 10
- Dominant language
- Julia
- License
- MIT
- Last GitHub push
- Aug 7, 2026
- Latest indexed
- Sep 18, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
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next breaking release
Difficulty 3/5 1-2 days Newbie friendliness 45/100
JuliaAI/MLJTuning.jl#211 ·
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Implement transform? Open
JuliaAI/MLJTuning.jl#206 · 1 assignee ·
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Avoid model introspection by requiring users to provide a function that defines a model instance Open
Difficulty 5/5 Over a week Newbie friendliness 25/100
JuliaAI/MLJTuning.jl#199 · 3 comments · 1 reaction ·
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
JuliaAI/MLJTuning.jl#198 · 1 comment ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
JuliaAI/MLJTuning.jl#192 · 1 comment ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
JuliaAI/MLJTuning.jl#174 ·
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Difficulty 4/5 3-5 days Newbie friendliness 30/100
JuliaAI/MLJTuning.jl#155 ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
JuliaAI/MLJTuning.jl#55 · 4 comments · 3 reactions ·
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
JuliaAI/MLJTuning.jl#54 · 5 comments ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
JuliaAI/MLJTuning.jl#18 · 3 reactions ·