https://github.com/senya-ashukha/simple-gradient-boosting

Very simple and short implementation of gradient boosting in 18 lines of code
https://github.com/senya-ashukha/simple-gradient-boosting

boosting ensemble gradient-boosting machine-learning supervised-learning

Last synced: 3 months ago
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Very simple and short implementation of gradient boosting in 18 lines of code

• Host: GitHub
• URL: https://github.com/senya-ashukha/simple-gradient-boosting
• Owner: senya-ashukha
• License: mit
• Created: 2020-09-03T01:11:09.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-09-17T11:29:49.000Z (about 5 years ago)
• Last Synced: 2025-04-02T14:02:14.221Z (6 months ago)
• Topics: boosting, ensemble, gradient-boosting, machine-learning, supervised-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 2.09 MB
• Stars: 9
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Simple Gradient Boosting

Very simple and short implementation of gradient boosting in just 18 lines of code!

## Gradient Boosting



  



[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/senya-ashukha/simple-boosting/blob/master/simple-boosting.ipynb)







- `Friedman JH. Stochastic gradient boosting. Computational statistics & data analysis. 2002 Feb 28;38(4):367-78.`

- Note that there is no stochastic mini-batching in this implementation, but it is very easy to add!