Comments (4)
No, I haven't had time to work on this. If I ever do I'll update this thread.
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No, I stopped working on this because it simply felt like it’s currently an incomplete project. If their technique could be applied beyond toy problems then I suspect they would have wrote the code to do that already. I suspect it’s simply not as good as they say for real world problems.
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@rbunn80110, I am currently working on it. But I guess model for 'conv' hasn't been built fully. Could see comment like "FIXIT" in the code.
Have you implemented it?
Thanks,
Shachi
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Did you already solve this problem?
Thanks,
Fabian
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Related Issues (17)
- Question in TMC HOT 3
- Using DataShapley with Regression HOT 1
- Example notebook's bug HOT 1
- Request for implementation of data shapley for image processing HOT 3
- It's super slow. HOT 1
- Show performance graph by gradually removing worst values instead of best values HOT 1
- Wrong Shape in DShap.py/init_score HOT 1
- Notebook Error Ideas HOT 1
- Is g_shap only built to run for fully connected networks? HOT 1
- Performance graph phenomenon HOT 4
- Plots in Example.ipynb
- Can you help me figure out where to find the data that is being dropped during each iteration? HOT 1
- Running TMC-Shapley for CNN HOT 1
- AttributeError: 'DShap' object has no attribute 'marginals_tmc' HOT 1
- Is the model training is wrong? HOT 1
- Python version in this project
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