Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

predict contributions #25

Closed
bryan-woods opened this issue Jan 4, 2018 · 2 comments
Closed

predict contributions #25

bryan-woods opened this issue Jan 4, 2018 · 2 comments

Comments

@bryan-woods
Copy link

Are there plans to add support for predicting feature contributions. From the python documentation:

pred_contribs (bool) – When this option is on, the output will be a matrix of (nsample, nfeats+1) with each record indicating the feature contributions (SHAP values) for that prediction. The sum of all feature contributions is equal to the prediction. Note that the bias is added as the final column, on top of the regular features.
@bryan-woods
Copy link
Author

I did a little more digging. This functionality is definitely missing in this library, but exists in the core XGBoost library in their PredictContribution function in cpu_predictor.cc

@bryan-woods
Copy link
Author

This is a duplicate of #20

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@bryan-woods