https://github.com/ahmetzamanis/mixedeffectsregressiondeliverytimes
Testing models from the GPBoost package against regular gradient boosting.
https://github.com/ahmetzamanis/mixedeffectsregressiondeliverytimes
data-science gaussian-processes gpboost gradient-boosting lightgbm machine-learning mixed-effects-models python random-effects-model regression xgboost
Last synced: about 1 month ago
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Testing models from the GPBoost package against regular gradient boosting.
- Host: GitHub
- URL: https://github.com/ahmetzamanis/mixedeffectsregressiondeliverytimes
- Owner: AhmetZamanis
- Created: 2023-10-30T13:15:49.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-11T11:41:15.000Z (over 2 years ago)
- Last Synced: 2024-12-29T09:43:58.458Z (over 1 year ago)
- Topics: data-science, gaussian-processes, gpboost, gradient-boosting, lightgbm, machine-learning, mixed-effects-models, python, random-effects-model, regression, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 6.03 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
[GPBoost package](https://github.com/fabsig/GPBoost)
[Data source](https://platform.stratascratch.com/data-projects/delivery-duration-prediction)