This repository was archived by the owner on Jul 28, 2026. It is now read-only.

Implement multi-label classification - #211

Merged

RAMitchell merged 11 commits into

rapidsai:mainfrom

RAMitchell:multi-label

Feb 17, 2025

Commits on Feb 10, 2025

Basic multi-label implementation
RAMitchell
committed
b6f6fe3

Commits on Feb 12, 2025

Merge branch 'main' of github.com:rapidsai/legateboost into multi-label
RAMitchell
committed
c37112d

Commits on Feb 13, 2025

Rework classification objectives by adding user defined class output function
RAMitchell
committed
e4906a6

Commits on Feb 14, 2025

Output 32 bit integers for class index instead of bool
RAMitchell
committed
b701eae
Merge branch 'main' of github.com:rapidsai/legateboost into multi-label
RAMitchell
committed
3134bd0
mypy
RAMitchell
committed
c19777d
Fix some test failures
RAMitchell
committed
0db05ff
Fix some test failures
RAMitchell
committed
b7b6eaf
Update with docformatter changes
RAMitchell
committed
7065364

Commits on Feb 17, 2025

Binary predict_proba outputs 0 and 1 probabiltiies (required by sklearn).
RAMitchell
committed
31c3229
Fix test
RAMitchell
committed
e19ad77