mlcommons / mlcommons/algorithmic-efficiency
rewrite halton.py to use the scipy quasirandom sequence generator
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- Dominant language
- Python
- Stars
- 425
- Forks
- 78
- PR merge metrics
- No merged PRs in 30d
Description
We likely can delete a lot of our code to use https://docs.scipy.org/doc/scipy/reference/stats.qmc.html
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
Start with halton.py and read the linked scipy.stats.qmc documentation to understand the available quasirandom sequence generator. Identify the existing Halton implementation and its expected behavior, then replace the duplicated code with the SciPy-based approach while preserving its use by the benchmark.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Refactor
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100