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Counterfactual explanations are a popular and very useful way of explaining an ML model prediction. To start, we should implement a basic optimization approach, with the potential to expand into more …
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Setting `num_workers > 1` as suggested in the tutorial did speed optimization up, but Im looking for more speed up in generating the counterfactual explanations. I tried following the instructions for…
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RuntimeError Traceback (most recent call last)
~/anaconda3/envs/ntnu_meticos/lib/python3.7/site-packages/omnixai/explainers/base.py in explain(self, X, params, run_predic…
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I am trying to generate Counterfactual Explanations for a NeuroTreeModel, also trained using `CounterfactualExplanations.jl`. While the model itself seems to work as expected (i.e., it is able to gene…
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Things that might be in common ground, or might be communicated about using explanations:
* the video (i.e. what happened?) - explanations could be a way to compress the whole display of what happe…
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Demystifying Post-hoc Explainability for ML models
These are just some example:
Section 3 First sentence of Rule-based Explanations is copied from: https://www.aaai.org/ocs/index.php/AAAI/AAAI18…
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When generating counterfactual explanations then looking at the factual in the explanation structure returned, I observe small differences. Namely, the value in column "BP" changes a bit. MWE follows:…
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Hello,
I'm new to alibi and am loving it so far! I've been going through the Counterfactual Proto examples and wanted to ask how I could specify which input features should be perturbed for the co…
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Mọi người cho Loan hỏi nghĩa của các từ này nhé
Counterfactual Explanations: những lý giải giả định
"causes": nguyên nhân, gây ra
Dịch như thế có ổn không?
loan1 updated
4 years ago
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I am not sure if I can ask here, or email the authors of the paper.... I really do not know with whom to discuss this, but I will try my luck here.
After reading the DICE paper, my understanding is…