Comments (2)
This is a longstanding problem we have with LSTMs. Currently there is no solution in sight for this
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Is this problem only for LSTM models or for NLP usecases in general? Since I see the problem is in the text msker where it expects a list of strings for NLP
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Related Issues (20)
- BUG: Unexpected Interaction Plot Instead of Summary Plot in Multiclass SHAP Summary with XGBoost HOT 5
- BUG: Workflow failure on macOS when building 'lightgbm'
- ENH: expose raw feature categories in shap.plots.bar HOT 1
- ENH: Winter Values HOT 4
- [Meta-issue] Release 0.45.1 HOT 5
- BUG: [in version 0.44.0 and 0.45.0] UserWarning: unrecognized nn.Module: Flatten HOT 1
- BUG: 'tuple' object has no attribute 'as_list' HOT 5
- BUG: unable to use SHAP with CUDA support on Windows10/11 machine for calculating Shapley values HOT 1
- Support for KerasClassifier HOT 1
- BUG: Failed in nopython mode pipeline (step: native lowering) float16 HOT 4
- Questions: question about SamplingExplainer HOT 1
- BUG: SHAP values calculated using CPU differ from SHAP values calculated using GPU HOT 5
- BUG: TypeError: ufunc 'isfinite' not supported for the input types HOT 4
- BUG: Additivity check failed HOT 1
- When plotting the shap text it is showing an extra letter(Ġ) before every word. HOT 1
- Demangle pytorch and tensorflow dependencies
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- Key not found with shap.TreeExplainer and XGBRegressor HOT 1
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