Composable UQ statistics and OOD scoring
Maintainers usually reply within 2 days
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 15/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Active
- Domain
- machine-learning
Research direction
This issue tracks six pull requests (#2184–#2189) covering UQ statistics, OOD scorers, and related refactors; start by reading those pull requests and their linked predecessors. The issue gives no specific files or tests to begin with, and its scope depends partly on another stack (#2133).
Written by the indexing model from the issue text.
Description
Track the six-part UQ/Guardrails refactor.
- https://github.com/NVIDIA/physicsnemo/pull/2184 — Fix ShardTensor reduction placements
- https://github.com/NVIDIA/physicsnemo/pull/2185 — Expose GeoTransolver geometry features
- https://github.com/NVIDIA/physicsnemo/pull/2186 — Rename EnsembleMetrics to StreamingStatistic
- https://github.com/NVIDIA/physicsnemo/pull/2187 — Group experimental GP heads
- https://github.com/NVIDIA/physicsnemo/pull/2188 — Add tensor-aware streaming statistics
- https://github.com/NVIDIA/physicsnemo/pull/2189 — Introduce composable OOD scorers and retire guardrails
Existing non-experimental APIs retain their default behavior. CFD adoption will follow separately; its unchanged inference and benchmark suites pass against the new core stack. The conformal APIs used by PR 5 are now in main (#2061–#2064).
These PRs form a registered native GitHub stack, with all source branches in NVIDIA/physicsnemo. Each replacement links to its closed predecessor for earlier review discussion.
- Dominant language
- Python
- Stars
- 3.4k
- Forks
- 828
- Avg merge
- 4d 7h
- Merged PRs (30d)
- 85
Getting set up
- Ships a Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing 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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