Time Series Domain Adaptation via Channel-Selective Representation Alignment

This repository provides code for our TMLR manuscript Time Series Domain Adaptation via Channel-Selective Representation Alignment.

Requirements

• Python 3.6+
• PyTorch 1.10.1+/ CUDA: 10.2+
• ScikitLearn

Running code

The file "main.py" is the entry point for running all code. This file takes in different arguments such as the type of method, the dataset to run on, etc.

For example, to run our method on the WISDM dataset, please use:

python main.py --da_method "SSSS_TSA" --dataset "WISDM"

This code has been adapted from the Adatime benchmarking suite

Contact

For all questions and comments, please contact Nauman at his Github page: nahad3