Looking for pre-built SLats
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- Dominant language
- Python
- Stars
- 13.7k
- Forks
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Description
Very beautiful job!
I'm more interested in the SLat structure, but I've found that manually building SLats from a dataset is a big overhead in terms of hard disk space and compute time. I was wondering if anyone has built a relatively large number of SLats? Or you can provide a summary of the total resource consumption (Especially hard drive consumption) in the process of building SLats, so that I can estimate the total amount of work.
Thank you very much if anyone can share it.
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
No file, test, or entry point is identified in the issue. Review the repository's SLAt construction workflow and determine whether the requested outcome is pre-built SLats or documented storage and compute requirements; done would require a clear, published resource estimate or usable artifacts.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100