Sparse solver for OLS
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- data, performance
Research direction
Start by locating the Python OLS estimation path and examining how models with many discrete factors construct and solve the LSH. Research a suitable sparse solver and compare it with the current calculation on a large-factor case. Done means the sparse case estimates correctly and improves the reported calculation speed.
Written by the indexing model from the issue text.
Description
In OLS estimation, when the number of discrete factors in the model is large, the estimation is too slow.
It is better to add sparse solver to speedup the calculation because LSH of the model is sparse for this case.
- Dominant language
- Python
- Stars
- 11.6k
- Forks
- 3.6k
- Avg merge
- 7h 37m
- Merged PRs (30d)
- 96
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.
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