https://github.com/alan-turing-institute/fabmogp
FabSim3 plugin for an earthquake simulation Uncertainty Quantification tutorial
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
1 of 4 committers (25.0%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (10.0%) to scientific vocabulary
Keywords
Repository
FabSim3 plugin for an earthquake simulation Uncertainty Quantification tutorial
Basic Info
Statistics
- Stars: 1
- Watchers: 4
- Forks: 2
- Open Issues: 0
- Releases: 2
Topics
Metadata Files
README.md
fabmogp
This is a mogp (Multi-Output Gaussian Process Emulator) plugin for FabSim3.
Tutorial
A detailed tutorial has been written describing the computations carried out by this plugin. We also provide a docker image with all required software pre-installed to improve accessibility to the tutorial for novice users. For more details, see the VECMA Workshop Tutorial.
Dependencies:
Note: Please follow the instructions in fdfault repository to create the fdfault executable and soft links.
Installation
Simply type fabsim localhost install_plugin:fabmogp anywhere inside your FabSim3 install directory.
FabSim3 Configuration
Once you have installed the required dependencies, you will need to take a few small configuration steps:
1. Go to (FabSim Home)/deploy
2. Open machines_user.yml
3. Under the section default:, please add the following lines:
a. mpi_exec: "mpiexec_file_path"
NOTE: Please include mpiexec in mpifilepath.
_Use which mpiexec to find the location of mpiexec in your machine (e.g., "/usr/bin/mpiexec")
b. ` fdfaultexec: "fdfaulthome"`
_NOTE: Please replace fdfaulthome with your actual fdfault install directory._
Testing
- To run a single job, simply type:
fabsim localhost mogp:demo - To run the ensemble, you can type, simply type:
fabsim localhost mogp_ensemble:demo,sample_points=20 - You can copy back any results from completed runs using:
fabsim localhost fetch_results
The results will then be in a directory insideFabSim3/resultsdirectory, which is most likely calleddemo_localhost_16 - You can analyse the simulation output using:
fabsim localhost mogp_analysis:demo,demo_localhost_16Figures are stored inFabSim3/results/demo_localhost_16/results
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
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Hamid Arabnejad | h****d@g****m | 24 |
| edaub | e****b@t****k | 18 |
| Derek Groen | d****l@g****m | 16 |
| Maziar Ghorbani | m****i@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 3
- Total pull requests: 8
- Average time to close issues: 20 minutes
- Average time to close pull requests: 3 days
- Total issue authors: 1
- Total pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 7
- 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 (3)
Pull Request Authors
- edaub (6)
- mzrghorbani (1)
- djgroen (1)