https://github.com/ciela-institute/tarp
Coverage tests to check the quality of your posterior estimators.
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.7%) to scientific vocabulary
Keywords
Repository
Coverage tests to check the quality of your posterior estimators.
Basic Info
- Host: GitHub
- Owner: Ciela-Institute
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://tarp.readthedocs.io/
- Size: 295 KB
Statistics
- Stars: 32
- Watchers: 5
- Forks: 8
- Open Issues: 2
- Releases: 3
Topics
Metadata Files
README.md
tarp
tarp is a small python package for performing statistical coverage tests to assess
the quality of posterior estimators.
<!-- tarp is framework-agnostic: it works with posterior estimators and samplers written in numpy, pytorch, jax. -->
tarp currently implements the distance to random point (DRP) test introduced
in Lemos, Coogan et al 2023, which relies on
posterior samples.
Installation
pip install tarp
Contributing
Please reach out to us if you're interested in contributing!
To start, follow the installation instructions, replacing the last line with
bash
pip install -e ".[dev]"
This creates an editable install and installs the dev dependencies for generating
docs, running tests and packaging for PyPI.
Please use isort and black to format your code. Open up issues
for bugs/missing features. Use pull requests for additions to the code. Write tests
that can be run by pytest.
Owner
- Name: Ciela-Institute
- Login: Ciela-Institute
- Kind: organization
- Repositories: 2
- Profile: https://github.com/Ciela-Institute
GitHub Events
Total
- Watch event: 5
- Pull request event: 1
- Fork event: 3
Last Year
- Watch event: 5
- Pull request event: 1
- Fork event: 3
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Adam Coogan | d****n@g****m | 24 |
| Pablo-Lemos | p****1@g****m | 17 |
| EnceladeCandy | n****a@u****a | 5 |
| Pablo Lemos | 3****s | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 4
- Total pull requests: 8
- Average time to close issues: about 1 month
- Average time to close pull requests: about 1 month
- Total issue authors: 3
- Total pull request authors: 5
- Average comments per issue: 2.0
- Average comments per pull request: 1.0
- Merged pull requests: 7
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: about 1 hour
- Issue authors: 0
- Pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.5
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- psteinb (2)
- changhoonhahn (1)
- voetberg (1)
Pull Request Authors
- Pablo-Lemos (4)
- arrjon (2)
- psteinb (2)
- RonanLegin (2)
- EnceladeCandy (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions/checkout v3 composite
- actions/setup-python v4 composite
- codecov/codecov-action v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- numpy *
- Sphinx ==5.3.0
- deprecation ==2.1.0
- furo ==2022.12.7
- jax ==0.4.4
- jaxlib ==0.4.4
- myst-parser ==0.18.1
- numpy ==1.24.2
- sphinx-pyproject ==0.1.0
- sphinx_autodoc_typehints ==1.22
- torch ==1.13.1
- tqdm ==4.65.0