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Hello
I am trying to get shap_values using DeepExplainer but it keep giving this error
"AttributeError: module 'tensorflow.python.eager.backprop' has no attribute '_record_gradient'"
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I am using mmlspark_2.11:0.18.1
(unable to access the newest version: see https://github.com/Azure/mmlspark/issues/715)
I am trying to save the actual python based lightgbm model to then load in…
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First of all, thank you for the great library! Investigating shap values with it is pretty comfortable.
**Description of Problem**:
The Shapax App does not support DataFrames with MultiIndexes. Mu…
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Hi, thanks for your wonderful tool and it is really helpful to my research!
However, when I plan to extend this method to my own deep adaptation network (DAN) or GCN model, the program always retur…
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Thanks for the great package. Is there a plan to implement/integrate the SHAP method in PySpark?
Of, if possible, what would be your suggestion to use this technique in Spark?
thanks,
Richard
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## Summary
It would be useful to improve build time as much as possible for faster developer iteration and reduced CI resource consumption.
## Current bottleneck files
The following are roughly i…
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## summary
* Mesh exporting failed
## reproduction of the error
* successfully run the `quick start` command to generate `pointcloud.ply` file.
* tried Mesh export command causes following e…
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Hey team Shap, my team is using a two-input channel LSTM neural network from TensorFlow. I was wondering if the current deepshap implementation supports a multiple input channel model.
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Hi, I am trying to do the cox survival model’s interpretability with Shap, so I want to mimic what was done for the nhanesi dataset provided by the official doc.
![image](https://user-images.githubus…
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### Summary
CI/CD variables can have a description, which I'd like to set it via Ansible.
![grafik](https://github.com/ansible-collections/community.general/assets/22525368/5620e4e7-6751-4b8d-91ab…