Roadmap (2019-2020)#
This is the pyhf 2019 into 2020 Roadmap (Issue #561).
Overview and Goals#
We will follow loosely Seibert’s Hierarchy of Needs
As a general overview that will include:
Improvements to docs
Add lots of examples
Add at least 5 well documented case studies
Issue cleanup
Adding core feature support
“pyhf evolution”: integration with columnar data analysis systems
GPU support and testing
Publications
Submit pyhf to JOSS
Submit pyhf to pyOpenSci
Start pyhf paper in 2020
Align with IRIS-HEP Analysis Systems NSF milestones
Time scale#
The roadmap will be executed over mostly Quarter 3 of 2019 through Quarter 1 of 2020, with some projects continuing into Quarter 2 of 2020
2019-Q3
2019-Q4
2020-Q1
(2020-Q2)
Roadmap#
Documentation and Deployment
Add docstrings to all functions and classes (Issues #38, #349) [2019-Q3]
Greatly revise and expand examples (Issues #168, #202, #212, #325, #342, #349, #367) [2019-Q3 → 2019-Q4]
Add small case studies with published sbottom likelihood from HEPData
Move to scikit-hep GitHub organization [2019-Q3]
Develop a release schedule/criteria [2019-Q4]
Automate deployment with [STRIKEOUT:Azure pipeline (talk with Henry Schreiner) (Issue #517)] GitHub Actions (Issue #508) [2019-Q3]
Finalize logo and add it to website (Issue #453) [2019-Q3 → 2019-Q4]
Write submission to JOSS (Issue #502) and write submission to pyOpenSci [2019-Q4 → 2020-Q2]
Contribute to IRIS-HEP Analysis Systems Milestones “Initial roadmap for ecosystem coherency” and “Initial roadmap for high-level cyberinfrastructure components of analysis system” [2019-Q4 → 2020-Q2]
Revision and Maintenance
Add tests using HEPData published sbottom likelihoods (Issue #518) [2019-Q3]
Add CI with GitHub Actions and Azure Pipelines (PR #527, Issue #517) [2019-Q3]
Investigate rewrite of pytest fixtures to use modern pytest (Issue #370) [2019-Q3 → 2019-Q4]
Factorize out the statistical fitting portion into
pyhf.infer(PR #531) [2019-Q3 → 2019-Q4]Bug squashing at large [2019-Q3 → 2020-Q2]
Unexpected use cases (Issues #324, #325, #529)
Computational edge cases (Issues #332, #445)
Make sure that all backends reproduce sbottom results [2019-Q4 → 2020-Q2]
Development
Batch support (PR #503) [2019-Q3]
Add ParamViewer support (PR #519) [2019-Q3]
Add setting of NPs constant/fixed (PR #653) [2019-Q3]
Implement pdf as subclass of distributions (PR #551) [2019-Q3]
Add sampling with toys (PR #558) [2019-Q3]
Make general modeling choices (e.g., Issue #293) [2019-Q4 → 2020-Q1]
Add “discovery” test stats (p0) (PR #520) [2019-Q4 → 2020-Q1]
Add better Model creation [2019-Q4 → 2020-Q1]
Add background model support (Issues #514, #946) [2019-Q4 → 2020-Q1]
Develop interface for the optimizers similar to tensor/backend (Issue #754, PR #951) [2019-Q4 → 2020-Q1]
Migrate to TensorFlow v2.0 (PR #541) [2019-Q4]
Drop Python 2.7 support at end of 2019 (Issue #469) [2019-Q4 (last week of December 2019)]
Finalize public API [2020-Q1]
Integrate pyfitcore/Statisfactory API [2020-Q1]
Research
Add pyfitcore/Statisfactory integrations (Issue #344, zfit-development Issue 56) [2019-Q4]
Hardware acceleration scaling studies (Issues #93, #301) [2019-Q4 → 2020-Q1]
Speedup through Numba (Issue #364) [2019-Q3 → 2019-Q4]
Dask backend (Issue #259) [2019-Q3 → 2020-Q1]
Attempt to use pyhf as fitting tool for full Analysis Systems pipeline test in early 2020 [2019-Q4 → 2020-Q1]
pyhf should satisfy IRIS-HEP Analysis Systems Milestone “GPU/accelerator-based implementation of statistical and other appropriate components” [2020-Q1 → 2020-Q2] and contributes to “Benchmarking and assessment of prototype analysis system components” [2020-Q3 → 2020-Q4]
Roadmap as Gantt Chart#
Presentations During Roadmap Timeline#
Talk at IRIS-HEP Institute Retreat (September 12-13th, 2019)
Talk at PyHEP 2019 (October 16-18th, 2019)
Talk at CHEP 2019 (November 4-8th, 2019)
Poster at CHEP 2019 (November 4-8th, 2019)