The code combines the GBR algorithm, feature engineering and hyperparameter search for machine-learning-aided aterial discovery.
The theory behind GBR_Regression is described in our preprint (1), (2) and (3). If you use this repository in your work, please consider citing (1), (2) and (3):
- https://www.nature.com/articles/s41467-018-05761-w
- https://onlinelibrary.wiley.com/doi/abs/10.1002/smtd.201900360
- https://www.sciencedirect.com/science/article/pii/S2451929421005805
GBR_Regression is being developed by Shuaihua Lu under the guidance of Jinlan Wang at Southeast University.
If you have questions, please don't hesitate to reach out at [email protected].
If you find a bug or have a proposal for a feature, please post it in the Issues. If you have a question, topic, or issue that isn't obviously one of those, try our GitHub Discussions.