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TimeSHAP explains Recurrent Neural Network predictions.

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Hi all! The package itself is really interesting and intuitive to use. But I want to speed up TIMESHAP computation, Can I use gpu to calculate shapley values? I used...

While calculating a global report, I'm currently running into errors that "Score difference between baseline and instance is too low < 0.1...Consider choosing another baseline." My baselines have been the...

from timeshap.explainer import global_report sequence_id_feat = 'id' time_feat = 'Date' #pos_dataset = d_test_normalized[d_test_normalized['label'] == 1] schema = schema = list(trial.columns) pruning_dict = {'tol': [ 0.025, 0.05],'path': 'prun_all_tf.csv'} event_dict = {'path':...

Due to [renaming of explainers in shap 0.43.0](https://github.com/shap/shap/commit/ca08229b8bb93ae05311532b7cc84f21ea8a8043), TimeSHAP logic fails when the default pip install is used: ``` --------------------------------------------------------------------------- ImportError Traceback (most recent call last) Cell In[24], line 1...

Hi, thank you so much for your work. It inspires me a lot. As most of the LSTM use case is using the output of last time step and concatenate...

Is there a way to use timeshap, or to modify it, so that it will work for models that output at every time step and not just at the final...

A utility function to get the expected value will be useful to cross verify that the obtained shap values of the model are correct. Currently it needs to be explicitly...

The timeshapkernel only supports IdentityLink, can we add LogitLink support as well, I can work on it.

Hello. I want to use TimeSHAP to get Feature Importance during multivariate time series predictive analysis with DeepAR model in GluonTS, based on mxnet. According to the description, I need...

Hello, i'm working on a project using timeSHAP (timeshap==1.0.4) and i'm getting ImportError when: >>`from timeshap.explainer import local_report ` It says: >> `ImportError: cannot import name 'Kernel' from 'shap.explainers._kernel'` My...