DeepPLS
Source code of the article "Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics".
Install / Use
/learn @kxytim/DeepPLSREADME
DeepPLS
Source code of
- Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics, IEEE Transactions on Neural Networks and Learning Systems. (Paper)
Script Description
- models.py : The implementation of deep PLS and generalized deep PLS models.
- main.py : A simple demo of using generalized deep PLS for MNIST dataset with only 1000 training samples.
- utils.py: The auxiliary functions.
Requirements
- python
- pytorch
- numpy
- scikit-learn
- torchvision
Execution
cd DeepPLS
python main.py
Citation
If you find this repo useful for your research, please consider citing the article
@ARTICLE{9733201,
author={Kong, Xiangyin and Ge, Zhiqiang},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics},
year={2023},
volume={34},
number={11},
pages={8923-8937}}
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