Hello everyone. Welcome to my fifth of the 12 Weekly updates.
What did you do this week?
This week I finally broke the curse and finished the `xgboost` and `lightgbm` implementation for SHAP predictions. The problem I was tackling last week was due to me trying to implement support for multiple documents which is not supported in eli5 already. But with clarification from @prado (my mentor), I was able to implement it for a single document that is already present in the eli5. Right now, I'm making minor changes to the code to make it more compact before merging and also Implementing it for `catboost ` which will lead to the completion of Phase One. All the existing test cases have also been run on my implementation and hence it is almost ready. Upon suggestion from @prado I am also writing a few extra testcases to check the validity of the model explanation.
What is coming up next?
- Adding additional test cases for the present implementation of `xgboost` and `lightgbm`.
- Complete `catboost` implementation.
- comment and document the already integrated implementation.
- Finish PhaseOne And Begin with PhaseTwo.
Did you get stuck anywhere?
This week for fairly smooth compared to last week. Most of my time was spent in discussing and trimming code according to my mentors suggestions.
Thank You for staying till the end. :)