https://github.com/materialsproject/gbml
Gradient Boosting Machine-Locfit: A GBM framework using local regresssion via Locfit.
https://github.com/materialsproject/gbml
Last synced: 11 months ago
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Gradient Boosting Machine-Locfit: A GBM framework using local regresssion via Locfit.
- Host: GitHub
- URL: https://github.com/materialsproject/gbml
- Owner: materialsproject
- License: other
- Created: 2016-03-15T21:11:51.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2021-05-12T20:05:53.000Z (about 5 years ago)
- Last Synced: 2025-04-25T09:17:19.313Z (over 1 year ago)
- Language: C
- Homepage: http://ect.bell-labs.com/sl/project/locfit/index.html
- Size: 2.71 MB
- Stars: 6
- Watchers: 12
- Forks: 6
- Open Issues: 4
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Gradient Boosting Machine-Locfit: A GBM framework using local regresssion via Locfit.
For information on Locfit see: http://ect.bell-labs.com/sl/project/locfit/index.html
This package offers predictions for bulk and shear moduli given material descriptors and training data.
### Citing
de Jong M, Chen W, Notestine R, Persson K, Ceder G, Jain A, Asta M, Gamst A. "A Statistical Learning Framework for Materials Science: Application to Elastic Moduli of k-nary Inorganic Polycrystalline Compounds." *Scientific Reports* **6**: 34256 (2016) | [doi:10.1038/srep34256](http://dx.doi.org/10.1038/srep34256).