Comments (1)
Hi and thanks for reporting. The example you showed is not working with ANY model, e.g. DeepExplainer('falcon')
won't work as well. Would you be so kind and link us to the documentation of this model and could you please provide an example how to use the model?
Edit: after taking a quick look at the repository I think that the chances are really small that we as current maintainers will add support for paddlepaddle. I would rather spend more time improving the tensorflow or pytorch deep explainer. BUT if somebody is found who is willing to implement support for this, we can certainly talk about this. Maybe we could create another repository if this is in a meature enough state.
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Related Issues (20)
- BUG: LightGBM with multiclass interaction TreeShap produces explainer error HOT 12
- ENH: Integrate Fasttreeshap speedup into SHAP HOT 2
- BUG: `base_score` attribute of the `XGBTreeModelLoader` is broken for all exponential losses (e.g. tweedie, poisson) HOT 4
- BUG: ERROR USING LLAMA-2 HOT 15
- BUG: 0.45.0 update breaks pytorch example on docs HOT 1
- x
- BUG: Error using Falcon for text-generation HOT 4
- BUG: Error when using DeepExplainer on LSTM Model HOT 1
- ENH: Partition Explainer for Video Models
- Does Feature/Column Order of dataset matter while calculating SHAP values? HOT 3
- BUG: LookupError: gradient registry has no entry for: shap_TensorListStack HOT 2
- BUG: shap summary plot for 3 group classification HOT 1
- ENH: Include directionality of feature association in beeswarm plot
- ENH: Support SeLU and activation function in Pytorch Deep Explainer
- BUG: tensorflow DeepExplainer SHAP explanations do not sum up to the model's output HOT 1
- Question: Using SHAP with GPT-4 via API HOT 2
- BUG: Warning: unrecognized nn.Module: Chomp1d HOT 2
- CI broken: mistralai Mistral-7B-v0.1 Tokenizer no longer accessible
- BUG: summary_plot ignores plot_type for TreeExplainer HOT 1
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