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Jiffy: A Convolutional Approach to Time Series Similarity

Jiffy is a lightweight CNN that produces a data-dependent embedding for a time series dataset. Follow the testing instructions below to reproduce the paper's results.

Testing Instructions

We test the implementation on 6 publicly available datasets:

But there's no need to download them all separately! Create the datasets directory by running the following script in the root directory:

./download_datasets.sh

You can then run the evaluation of Jiffy on all 6 datasets with the following command:

python models/test_scripts/test_jiffy.py

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