Skip to content


Here are 67 public repositories matching this topic...

python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

  • Updated Jun 15, 2019
  • Python

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

  • Updated Jun 14, 2024
  • Python

Improve this page

Add a description, image, and links to the gbdt topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the gbdt topic, visit your repo's landing page and select "manage topics."

Learn more