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The code of the LIMO algorithm proposed in our ICML'17 paper "A Unified View of Multi-Label Performance Measures"
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measure
.gitignore
README.md
best_f1_threshold.m
best_hloss_threshold.m
demo.m
limo_column_threshold.m
limo_init.m
limo_main.m
limo_predict.m
limo_row_threshold.m
normalize.m
sgd_limo_train.m

README.md

LIMO

The matlab code of the LIMO algorithm proposed in our ICML'17 paper "A Unified View of Multi-Label Performance Measures"

Run

Run the demo.m in MATLAB, LIMO will run as its default parameters on sample datasets.

LibSVM is needed. MATLAB functions named svmtrain and svmpredict should be included in path.

Some sample datasets and performance measure evaluation codes are contained. You may find the evaluation codes are useful for your own multi-label research.

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