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Transparency in image formats is tricky; in RGBA formats, a pixel is both transparent, and has a counterfactual-color which it would have if it were not transparent. Which means that if an image is di…
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Hi Fabien, very nice work!
In your paper, you provide rendered images of the counterfactual predictions (e.g., Figure 1).
Can you release the pretrained renderer model?
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I've noticed that the counterfactuals dataframes I get from my CounterfactualExamples objects have the target value rounded to the nearest decimal place. This makes the results useless to me, since in…
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In chapter 1 you mention counterfactuals as equivalent to 0 the initial object.
But they have a lot more structure than 0.
An example taken from the 1973 book
[Counterfactuals](https://www.wiley.c…
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Hi,
I've trained DICE with a k-nn classifier, and want to generate counterfactuals for a test set from the same dataset. It works fine for most instances in the test set, but for others, it remains…
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Could you please explain to me the question in this section of step 04?
Which estimator will you use to measure program impact? These match the order of the diagram below.
• T2 – C2 (post-test on…
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Hi, I trained an LSTM model using the feature vectors extracted from the data recorded by the students. I want to use DiCE to generate counterfactuals on the test set data, but I haven't found them. I…
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Noticed that for some reason we end up with twice as many samples in the path as number of iterations. Also the generated plot doesn't really make sense, because the last sample in the s…
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HI everyone,
I face the following issue when running this command for the tiny imagenet dataset:
python src/train_gan.py --epochs 10
Error:
Traceback (most recent call last):
File "C:/Use…
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Hello
I want to train this repo on my own dataset but I have a problem with "oracle.pth" and "classifier.pt" ...
after taking a look at [guided-diffusion](https://github.com/openai/guided-diffusio…