-
Notifications
You must be signed in to change notification settings - Fork 514
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.
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
Add Complement Naive Bayes #4595
Conversation
Codecov Report
@@ Coverage Diff @@
## branch-22.04 #4595 +/- ##
===============================================
Coverage ? 83.89%
===============================================
Files ? 250
Lines ? 20098
Branches ? 0
===============================================
Hits ? 16861
Misses ? 3237
Partials ? 0
Flags with carried forward coverage won't be shown. Click here to find out more. Continue to review full report at Codecov.
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The implementation looks really good. Other than validating the robustness to skew, I didn't find anything major. Very straightforward clean implementation.
@gpucibot merge |
Closes rapidsai#1666. The implementation of this variant is straightforward and matches sklearn. Authors: - Micka (https://github.com/lowener) Approvers: - Corey J. Nolet (https://github.com/cjnolet) URL: rapidsai#4595
Closes #1666.
The implementation of this variant is straightforward and matches sklearn.