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Add access for explainability (TimeSHAP) #161
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Hi there 👋, Thank you so much for your attention to PyPOTS! If you find PyPOTS helpful to your work, please star⭐️ this repository. Your star is your recognition, which can help more people notice PyPOTS and grow PyPOTS community. It matters and is definitely a kind of contribution to the community. I have received your message and will respond ASAP. Thank you for your patience! 😃 Best, |
Hey Eddie, many thanks for this interesting proposal. I'll take a look at TimeSHAP lib and its paper to see if it's possible for us to integrate it with PyPOTS. |
Hey @WenjieDu, A friend of mine and I actually got it to work. We had to do a lot of changes to the code. I'll share it here in case it helps you find a better solution. https://github.com/edpclau/timeshap/tree/main/notebooks/GRU-D |
1. Feature description
Changes to the classify() and forward() methods to make the models compatible with TimeSHAP and other XAI methods.
2. Motivation
I would like to be able to understand which timesteps and features were most relevant for a particular prediction.
3. Your contribution
I don't know enough about how the models are structured to feel confident in changing the api.
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