-
I've managed to recreate the results on SVHN and other dataset. I got 0.7905 f1 score on SVHN, which is close to the values on the paper. But when I saved the counterfactual images, they are all gray …
-
I am working on a heart disease dataset which has continuous variable as a treatment (thalach) and outcome categorical(target).There is another variable that the treatment affects (exang) which is cat…
-
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…
-
Hi i am curious on how you generate the counterfactual examples on 4.1 MNIST (specifically digit '1'), could you explain a little bit? When I ran it, I was not able to generate the counterfactual but …
-
Hi,
I am trying to generate counterfactuals for a classification model. Trained the model using RandomForestClassifier.
I am expecting the target variable should show the predicted probability. I…
-
**System information**
- TensorFlow version (you are using): 2.1
- Are you willing to contribute it (Yes/No): Not a frontend guy so I don't know if I can help.
**Describe the feature and the …
-
Hi, author, if image caption is about counting , e.g. There are four birds in the sky.
How to generate counterfactual image,**Change all birds to other animals**?
-
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing
https://arxiv.org/abs/2406.17396
-
Hi Indu,
Thank you for your wonderful work! This work is quite interesting to me and I think the results are amazing. However, I was confused when I tried applying this method to my own dataset. I …
-
I'm using dice-ml - 0.6.1 version. I wanted to perform some DataFrame operations on the generated counterfactuals.
![image](https://github.com/interpretml/DiCE/assets/61258323/44bfae3f-08a4-4874-a92e…