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: 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
- ENH: Python 3.13 Support
- TypeError: In v0.20, force plot now requires the base value as the first parameter! Try shap.plots.force(explainer.expected_value, shap_values) or for multi-output models try shap.plots.force(explainer.expected_value[0], shap_values[0]). HOT 1
- Key not found with shap.TreeExplainer and XGBRegressor HOT 1
- BUG: Error with SHAP Partial Dependence Plot: ValueError: DataFrame.dtypes for data must be int, float, bool or category
- ENH: integrated gradients HOT 1
- Support tf 2.16 and keras 3 HOT 4
- BUG: shap.plots.bar(shap_values) TypeError
- BUG: Custom masker offset is not working properly
- BUG: AssertionError, the SHAP explanations do not sum up to the model's output!
- BUG: Background dataset subsampling HOT 4
- BUG: AttributeError: 'tuple' object has no attribute 'as_list' (tensorflow 2.15.0) HOT 2
- [Meta-issue] Release 0.46.0
- [Meta-issue] Increase test coverage
- Unable to generate explanations for predict_proba using treeexplainer
- BUG: wrong output information on the web document HOT 1
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