https://github.com/alan-turing-institute/mogp-emulator
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
Science Score: 10.0%
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
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (20.5%) to scientific vocabulary
Keywords
Repository
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
Basic Info
Statistics
- Stars: 50
- Watchers: 9
- Forks: 14
- Open Issues: 62
- Releases: 12
Topics
Metadata Files
README.md
Multi-Output Gaussian Process Emulator
mogp_emulator is a Python package for fitting Gaussian Process Emulators to computer simulation results.
The code contains routines for fitting GP emulators to simulation results with a single or multiple target
values, optimizing hyperparameter values, and making predictions on unseen data. The library also implements
experimental design, dimension reduction, and calibration tools to enable modellers to understand complex
computer simulations.
Installation
mogp_emulator requires Python version 3.6 or later. The code and all of its dependencies can be
installed via pip:
bash
pip install mogp-emulator
Optionally, you may want to install some additional packages. In particular, matplotlib is useful for
visualising some of the results of the benchmarks. These can be found in the
requirements-optional.txt file in the main repository.
Additionally, packages used in testing and developing the code base are listed in requirements-dev.txt.
Documentation
The documentation is available at readthedocs for the current
builds of the master and devel versions, plus any previous tagged releases. The documentation
is available there in HTML, PDF, or e-Pub format.
Getting Help
This package is under active development by the Research Engineering Group at the Alan Turing Institute as part of several projects on Uncertainty Quantification. Questions about the code or any feedback on the usability and features that you would find useful can be sent to Eric Daub <edaub@turing.ac.uk>. If you encounter any bugs or problems with installing the software, please see the Issues tab on the Github page, and if the issue is not present, create a new one.
Contributing
If you find this software useful, please consider taking part in its development! We aim to make this a welcoming, collaborative, open-source project where users of any background or skill levels feel that they can make valuable contributions. Please see the Code of Conduct for more on our expectations for participation in this project, and our Contributing Guidelines for how to get involved.
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
GitHub Events
Total
- Watch event: 4
- Fork event: 1
Last Year
- Watch event: 4
- Fork event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Eric Daub | e****b@t****k | 41 |
| Eric Daub | 4****b | 19 |
| Oliver Strickson | o****2 | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 68
- Total pull requests: 35
- Average time to close issues: 7 months
- Average time to close pull requests: 27 days
- Total issue authors: 12
- Total pull request authors: 4
- Average comments per issue: 0.49
- Average comments per pull request: 0.43
- Merged pull requests: 31
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- edaub (45)
- ots22 (9)
- nbarlowATI (3)
- joshnevin (3)
- thawes-rse (1)
- krishnakumarg1984 (1)
- XiaoyuHy (1)
- XingzuoPan123 (1)
- Devaraj-G (1)
- yyimingucl (1)
- CeciliaKaiyu (1)
- tjdodwell (1)
Pull Request Authors
- edaub (24)
- nbarlowATI (7)
- ots22 (3)
- yyimingucl (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 3,199 last-month
- Total dependent packages: 2
- Total dependent repositories: 1
- Total versions: 6
- Total maintainers: 1
pypi.org: mogp-emulator
Tool for Multi-Output Gaussian Process Emulators
- Homepage: https://mogp-emulator.readthedocs.io/
- Documentation: https://mogp-emulator.readthedocs.io/
- License: MIT
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Latest release: 0.7.2
published over 3 years ago
Rankings
Maintainers (1)
Dependencies
- sphinx >3
- pytest >=4.6 development
- pytest-cov * development
- matplotlib *
- numpy >=1.13.3
- patsy *
- scipy >=1.4
- numpy *
- patsy *
- scipy *