Comments (2)
JoaoPBSousa
commented on May 16, 2024
Hello @janakmpatel ,
TimeSHAP does indeed function with Tensorflow but it requires setting up a ModelWrapper as detailed in the README.
Regarding your question, we have fixed the np.int deprecation by transitioning to using int.
I hope this answer is helpful. If you have any further questions feel free to ask.
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janakmpatel
commented on May 16, 2024
Okay, Thanks a lot.
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Related Issues (20)
- Array indexing with list of strings. HOT 1
- Doubts on provided notebook: dataset format, model configuration HOT 10
- TIMESHAP without pruning HOT 1
- Error ''Score difference between baseline and instance ... is too low < 0.1.'' HOT 2
- local_event report HOT 4
- How does TimeShap handle missing values (NA)? HOT 9
- global_explainer broken? HOT 1
- Does the plot demonstrate that when my feature has a high value, the output either increases or decreases, or vice versa? HOT 2
- Can we wrap any other model than RNN like for transformer networks? HOT 2
- BlockRNN for regression
- Import Error: cannot import name 'Kernel' HOT 2
- Circular Importing in ARem_TF.ipynb
- UnicodeEncodeError: 'charmap' codec can't encode character '\u2264' in position 30: character maps to <undefined> HOT 1
- Is timeshap applicable to the DeepAR model of mxnet?
- Function to get expected value HOT 1
- Add LogitLink in timeshapkernel.
- outputs at all time steps?
- About part of input in the next step is the output of current step
- Lack support for shap > 0.42.1
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