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Name: TuGames
Author: Holger I. Meinhardt
URL: https://github.com/himeinhardt/TuGames
Release: True
A Mathematica Package for Cooperative Game Theory
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**Is your feature request related to a problem? Please describe.**
My feature is not related to a specific problem. However, it would be useful to have the ability to store custom plots that evaluate…
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Dear @slundberg,
Thank you for this beautiful package. I have used it often but currently I have realized that whenever I generate shap values, the order of feature importance changes. I am using v…
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On the main github page for SHAP, there is the comment:
"An implementation of expected gradients to approximate SHAP values for deep learning models. It is based on connections between SHAP and the …
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I am working with the [customer segmentation example](https://github.com/py-why/EconML/blob/main/notebooks/CustomerScenarios/Case%20Study%20-%20Customer%20Segmentation%20at%20An%20Online%20Media%20Com…
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AFAICT the method works only for numeric features [that are scaled to [0, 1]^d] -- at least in paper.
For categorical features, what do you propose? Mean encode it first and then apply IGCS? or …
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I attempted to run the example in with TF LSTM model . When attempting to compute the Shapley values I get the following error:
` shap_values = explainer.shap_values(x_test[:10])
XXX\shap\explain…
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Hi there,
great work with the package first and foremost.
Quick question: Does the ApproxSHAP method scale or standardize SHAP values in any way? When I create global feature attribution ranking…
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When trying to use fastshap with a cv.glmnet model, specifying `exact` argument to `fastshap::explain()` causes the function to fail, no matter what the supplied value of `exact` is. The error returne…
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https://github.com/amazon-research/adversarial-robustness-with-nonuniform-perturbations/blob/575f93e82d0a784290cf6b869e2dfee5171f689d/NonuniformRobustness.py#L56 Here we can see you have other attack …