Add recurrent model attribution tutorial (#1205)#1834
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Issue: meta-pytorch#1205 Issue summary: Captum lacked a recurrent-model tutorial showing sequence and recurrent-layer attribution. Summary: - Add an LSTM sequence-classification tutorial with input attribution and time/feature aggregation. - Include LayerIntegratedGradients on the recurrent layer with attribute_to_layer_input=True. Test Plan: - venv/uv/bin/python -m json.tool tutorials/Recurrent_Model_Interpret.ipynb - Pyre: not applicable; tutorial-only change.
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@craymichael has imported this pull request. If you are a Meta employee, you can view this in D106053939. |
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Fixes #1205.
Issue: #1205
Issue summary: Captum lacked a recurrent-model tutorial showing sequence and recurrent-layer attribution.
Summary:
Test Plan: