Improve multiprocessing performance
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 26
- Forks
- 10
- Avg merge
- 15h 33m
- Merged PRs (30d)
- 2
Description
Consider using Dask, Ray, etc.
Contributor guide
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. Start by locating the multiprocessing implementation and establishing a performance baseline; the work is done when a chosen approach measurably improves multiprocessing performance for the project’s type-inference workloads.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100