Description: The package includes the Python implementation of the method proposed in
[1], which aims to reuse a pool of models initially developed for various jobs to help the learner's current job. The proposed method works effectively even when the feature spaces of the user and learnwares are different.
References:
[1] Peng Tan, Zhi-Hao Tan, Yuan Jiang and Zhi-Hua Zhou. Towards Enabling Learnware to Handle Heterogeneous Feature Spaces. In: Machine Learning, in press.
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.
ATTN2: This package was developed by
Mr. Peng Tan. For any problem concerning the code, please feel free to contact Mr. Tan.
Requirement: The package was developed with Python 3.8.
Download: [
RKME_heterogeneous] (0.2MB)