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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

Template / 模版

Click Here

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.

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Transfer learning links

1 : Instance-based transfer learning

• Instance selection (marginal distributions are same while conditional distributions are different) :

  TrAdaboost

• Instance re-weighting (conditional distributions are same while marginal distributions are different) :

  KMM

2 : Feature-based transfer learning

• Explicit distance:

  • case 1 : marginal distributions are same while conditional distributions are different:

    TCA(MMD based) ; DAN(MK-MMD based)

  • case 1 : conditional distributions are same while marginal distributions are different

    JDA

  • case 3 : Both marginal distributions and conditional distributions are different

    DDA

• Implicit distance :

  DANN

3 : Parameter-based transfer learning

• Pretraining + fine tune

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