Official implementation of AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
by: Mohamed Ragab*, Emadeldeen Eldele*, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Kwoh, Xiaoli Li AdaTime is a PyTorch suite to systematically and fairly evaluate different domain adaptation methods on time series data. Requirmenets: Python3 Pytorch==1.7 Numpy==1.20.1 scikit-learn==0.24.1 Pandas==1.2.4 skorch==0.10.0 (For DEV risk calculations) openpyxl==3.0.7 (for classification reports) Wandb=0.12.7 (for sweeps) Datasets Available Datasets We used four public datasets in this study. We also provide the preprocessed versions as follows: Adding New Dataset Structure of data To […]
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