JuliaAI / JuliaAI/DataScienceTutorials.jl
Composite example from MLJ
Open
Nobody has claimed this yet.
tutorial
- Dominant language
- ReScript
- Stars
- 126
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Description
Check this: https://github.com/alan-turing-institute/MLJ.jl/tree/master/examples/composite_example and possibly add bits of it
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
Start by reading MLJ.jl's examples/composite_example and comparing it with the existing tutorials in this repository. Identify which parts should be added and verify the selected composite workflow runs as a tutorial; the issue does not specify a target file or exact scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100