Description: A python 3.5 implementation of MLDF proposed in Multi-Label Learning with Deep Forest.
References:
[1] L. Yang, X.-Z. Wu, Y. Jiang, and Z.-H. Zhou. Multi-label learning with deep forest. In: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI'20), Santiago de Compostela, Spain, 2020.
ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact
Prof. Zhi-Hua Zhou.
Requirement: This package is developed with Python 3.5.
ATTN2: This package was developed by
Mr. Liang Yang. For any problem concerning the code, please feel free to contact Mr. Yang.
Download: [
code] (4.5MB)