/SASA-pytorch

Primary LanguagePython

(Time Series Domain Adaptation via Sparse Associative Structure Alignment)[AAAI2021]

Requirements

  • Python 3.7

  • Pytorch 1.7

Quick Start

The pytorch version of sasa basically replicated the results of the tensorflow version of sasa on the Boiler dataset.

You can run it with the following command.

python  main.py

Experiment Result

AUC scores on the Boiler data set.

1->2 1->3 2>1 2->3 3->1 3->2 mean
0.7260 0.9599 0.8575 0.9451 0.9175 0.6835 0.8483