Metadata-Version: 2.1
Name: KMMTR
Version: 1.1.2
Summary: a transfer learning regression model based on Kernel Mean Matching (KMM) algorithm
Home-page: https://github.com/Bin-Cao/KMMTransferRegressor
Author: CaoBin
Author-email: bcao@shu.edu.com
Maintainer: CaoBin
Maintainer-email: binjacobcao@gmail.com
License: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: cvxopt

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# Python package - KMMTransferReg 

A transfer learning regression model based on Kernel Mean Matching (KMM) algorithm

Written using Python, which is suitable for operating systems, e.g., Windows/Linux/MAC OS etc.


## Installing / 安装
    pip install KMMTR 
    
## Checking / 查看
    pip show KMMTR 
    
## Updating / 更新
    pip install --upgrade KMMTR


## References / 参考文献
Huang, J., Gretton, A., Borgwardt, K., Schölkopf, B., & Smola, A. (2006). Correcting sample selection bias by unlabeled data. Advances in neural information processing systems, 19.

## About / 更多
Maintained by Bin Cao. Please feel free to open issues in the Github or contact Bin Cao
(bcao@shu.edu.cn) in case of any problems/comments/suggestions in using the code. 


