PolicyEngine / PolicyEngine/snap-qc-sim
Wire the error model into the simulator
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- Dominant language
- Python
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- Forks
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- Avg merge
- 18m
- Merged PRs (30d)
- 5
Description
Levers become policy configurations passed to the engine; per-case predictions aggregate through the existing sampling layer; keep the v1 accounting bound as a labeled comparison. docs/v2-error-model.md §4.
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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
Read docs/v2-error-model.md §4 first, then trace the simulator's existing sampling layer and how levers reach the engine. The work is complete when levers are passed as policy configurations, per-case predictions aggregate through sampling, and the v1 accounting bound remains as a labeled comparison.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100