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Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

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Hello dear author: When running your code, an error message appears: AssertionError: Padding length too large. How to deal with it?

Hello, this is really a great job.! ![image](https://github.com/JAEarly/MILTimeSeriesClassification/assets/55964711/58cd1786-ea66-4b18-a8ee-d276eefb5c17) My data set is saved in .mat format, and each train and test contains the following data: ![image](https://github.com/JAEarly/MILTimeSeriesClassification/assets/55964711/f4f82cf1-277a-4a31-a1a7-9588adf97f05)