Comments (1)
There is nothing in our current repo specifically designed for dealing with time series. However, if you can use standard supervised learning for your time series prediction, then the EBMs should work well and remain interpretable.
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Related Issues (20)
- How much data is require for EBM??? HOT 2
- Question about Inference Time HOT 1
- Computational complexity of EBM HOT 5
- Validation or OOB score HOT 3
- Does the EBM model support customized loss functions (objectives)? HOT 1
- Ordinal vs nominal for categorical variables HOT 2
- Attribute ERROR from interpret/utils/_clean_x.py HOT 1
- How can I interpret a fully connected nerual network?
- Stepwise process for model selection with EBM classifier HOT 2
- Method for extracting where the steps are in the variable plots HOT 1
- Interactions setting in multi-class datasets HOT 2
- Multi Output Regressor Model Support HOT 2
- cannot import name 'url_quote' from 'werkzeug.urls' when using show(dt.explain_global()) HOT 5
- How to get word importance HOT 1
- Development installation: Requirements? HOT 2
- Query: performance prospects on massive data sets (curse of dimensionality?) HOT 3
- How to speed up EBM model? Unbelievable slow. HOT 9
- Question: Parallel boosting? HOT 4
- Integrate EBM into the pytorch framework HOT 7
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