Gbdt_simple_tutorial
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 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
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gbdt_simple_tutorial | 371 | 5 years ago | 2 | apache-2.0 | Python | |||||
| 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 | ||||||||||
| Waspline Reader | 15 | 5 years ago | 3 | unlicense | JavaScript | |||||
| FOSS version of BeeLine Reader | ||||||||||
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Python
Machine Learning
Reader
Gradient
Decision Trees
Gbdt
Gradient Boosting