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HI!
I am getting this error when running the example:
>>># initialize explainer, fit and generate counterfactual
cf = CounterFactualProto(sess, nn, shape, use_kdtree=True, theta=10., max_iteratio…
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Hello Everyone,
1) I am working on a binary classification problem using `Xgboost`. I would like to interpret my model predictions better using `Alibi's` Counterfactual Explanations. However I see…
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This issue collects resources for the newsletter of the year/month/week that should be in the title
If you want to contribute open the issue and paste a resource you think is worth sharing in the n…
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Hi again,
I understand you must be extremely busy. I appreciate your time.
I was now trying to use the same ANN model as in your notebook, but with the German credit data. The model trains fine. B…
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Sometimes an error is thrown while trying to copy an image.
**Reproduce:**
right click -> copy image
**Tested on:**
Sugar 0.117-3, Debian Bullseye
Sugar 0.117, Sugar Live Build
Errors appe…
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What is the advantage of regret matching against exp3 as policy improvement methods?
What will happen if we replace RM in all CFR variants by Hedge?
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arXiv论文跟踪
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Hi,
I am trying to use Counterfactuals guided by Prototypes. The examples given with the documentation use keras models in which the target vector is always converted to a matrix. But, sklearn mode…
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I'd like to implement Hindsight Experience Replay (HER). This can be based on a whatever goal-parameterized RL off-policy algorithm.
**Goal-parameterized architectures**: it requires a variable for…
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I am using CEM to generate explanations over a dataset with three continuous features and a binary outcome variable. The black box machine learning model is a single layer neural network with sigmoid …