JuliaAI / JuliaAI/MLJLinearModels.jl
Performance benchmarking (base)
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 86
- Forks
- 15
- PR merge metrics
- No merged PRs in 30d
Description
check allocations and speed of elementary step such as
- apply_X!
- apply_Xt!
- get_residuals!
- ...
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 locating the implementations of apply_X!, apply_Xt!, and get_residuals!, then identify how this Julia project currently measures allocations and execution speed. Benchmark the listed elementary steps and document the resulting performance findings; the issue does not specify target thresholds or named test files.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- performance
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100