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I used `deepExplainer` for explaining a pytorch-implemented classification model(basically multiple layers of transformer encoders succeeded by a classifier). My data is tabular timeseries in the shap…
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Hi! I am trying to train classifiers for my project but I keep getting an error when trying to calculate SHAP scores. I tried both single and multicore runs but I get the same error either way. I can …
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At present, for each instance, the sum of the Shapley values will not exactly equal the model prediction. Assuming that the reference population is the right population, in the limit of Monte Carlo sa…
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I'm running some toy examples like the one below:
```
set.seed(17)
x
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I am struggling with a problem that (I think) would need to calculate shapley values for **samples** rather than features. For this, I end up in your blog post about Naïve Shapley method calculation (…
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Hi, as far as I understand, Datascope is compatible with any scikit-learn pipeline. I'm using PyTorch and skorch (library that wraps PyTorch) to make my classifier scikit-learn compatible.
I'm curr…
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这一段缺少了一些标点，和一些描述不清的语言，导致直接阅读中文理解起来非常吃力，必须要对照英文才能明白计算的含义
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In the case of a binary classification model from sklearn we expect the output for both positive and negative classes (this would be consistent with the normal prediction output). As the model is tran…
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Creating an R/Python function that will return the formatted Shapley codes for a specific record. The format should be something like:
||Column||Contribution||Value||
|Gender|-0.2|Female|
|Ag…
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- [ ] Lime
- [ ] Shap
- [ ] Kernel Shap
- [ ] Tree Shap
- [ ] Shapley Values
- [ ] L2X
`TODO`: Add any new if needed.