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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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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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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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Greetings!
I would like to visualize the counterfactuals found by VeriX. In the "VeriX" class, "get_explanation" function, I set the "plot_counterfactual" argument to true. The resulting counterfac…
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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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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
3 years ago
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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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Hi, I was wondering if DiCE works with continuous variables such as time-series data or not.
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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev. https://github.com/wantedly/machine-learning-round-table/issues/246
## What
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