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i have tried feature_perturbation="interventional" whit backgrouddata and feature_perturbation="tree_path_dependent" without backgrouddata in TreeExplainer, the first example was very slow and finally…
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### Issue Description
Hi,
I'm working on binary classification using the CatboostClassifier(). My dataset is large, featuring a large set of categorical features. Due to this, I've opted to use the …
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Hi @kexinhuang12345, as you know `ReplogleWeissman2022` study has three datasets.
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Currently, as I understand `ReplogleWeissman2022_K562_gwps` data is not uploaded. However, I noticed a wei…
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In the [tutorial on how to use poliastro's perturbation utilities](https://docs.poliastro.space/en/stable/examples/Natural%20and%20artificial%20perturbations.html) all the custom perturbation function…
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(This is a feature request not a bug.)
Following discussions with @pirbo and @plucky, it would be great to have a more flexible perturbation language in Kappa that allows for stochastic perturbati…
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Hi! Another issue - also happy to help fix this one if a quick PR is helpful. I was doing some testing of a single perturbation before starting a long run of them, and found that when perturbations al…
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Hi,
Thanks for creating a PyTorch version of your code!
I saw that in you Cifar example you use the adaptive perturbation rather than the traditional perturbation. However, in figure 5 of you pa…
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I got CPA 0.8.2 and followed the tutorial "[Predicting single-cell response to unseen combinatorial CRISPR perturbations](https://cpa-tools.readthedocs.io/en/latest/tutorials/Norman.html)". **The goal…
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Hello,
We are using XGBoost classifier with the method of shap_values as such:
```python
ml_model = loading XGBoost classifier ...
self.explainer = shap.TreeExplainer(ml_model, feature_perturbat…
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Hello! Thank you for publishing your tool! Could you please comment on what perturbation of gt trajectory was used for realworld benchmark? I've not found this information in the paper text, there is …