https://github.com/plasmacontrol/bes-edgeml-datasets
Dataset tools for DIII-D BES edge ML models
https://github.com/plasmacontrol/bes-edgeml-datasets
Last synced: about 1 year ago
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Dataset tools for DIII-D BES edge ML models
- Host: GitHub
- URL: https://github.com/plasmacontrol/bes-edgeml-datasets
- Owner: PlasmaControl
- License: mit
- Created: 2020-12-22T03:38:25.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-05-02T18:10:50.000Z (about 2 years ago)
- Last Synced: 2025-04-14T02:13:10.597Z (about 1 year ago)
- Language: Python
- Homepage:
- Size: 1.73 MB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# BES edge-ml
Code base for BES edge-ML at DIII-D
- `bes_data_tools/` - package for working with BES metadata and signals
- `elm/` - work area for ELM prediction
- `qhmode/` - work area for QH-mode classification
- `ae/` - work area for AE classification
In all areas, data (CSV, HDF5 files) are stored in `data/`, and plot figures
are stored in `figures/`.
## Tutorial
To learn core functionality in `bes_data_tools` package, do
```bash
cd bes_data_tools
python bes_data.py # class for BES metadata and signals
python package_h5.py # package data in HDF5 files
python plots.py # plotting utilities
```