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mGBDT

Description: This is the official clone for the implementation of mGBDT. A python implementation of mGBDT is proposed in [1]. A demo implementation of mGBDT library as well as some demo client scripts to demostrate how to use the code. The implementation is flexible enough for modifying the model or fit your own datasets.

Alternative Link: https://github.com/kingfengji/mGBDT.

References:
[1] J. Feng, Y. Yu, and Z.-H. Zhou. Multi-Layered Gradient Boosting Decision Trees. In: Advances in Neural Information Processing Systems 31 (NIPS'18), Montreal, Canada, 2018.

ATTN: This package is provided "AS IS" and free for academic usage. You can run it at your own risk. For other purposes, please contact .

ATTN2: This package was developed and maintained by Mr.Ji Feng (http://lamda.nju.edu.cn/fengj/). For any problem concerning the codes, please feel free to contact Mr.Feng (fengj@lamda.nju.edu.cn) or open some issues on github at https://github.com/kingfengji/mGBDT.

Download: [code&data] (1.04MB)
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