The code of the LIMO algorithm proposed in our ICML'17 paper "A Unified View of Multi-Label Performance Measures"
The matlab code of the LIMO algorithm proposed in our ICML'17 paper "A Unified View of Multi-Label Performance Measures"
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.
I am considering porting your LIMO evaluation approach to Python for compatible use in Scikit-learn and other ML frameworks (e.g. PyTorch).
Does such a port exist to your knowledge? Pointing in the right direction would save me some work.
In any case, thanks for your excellent work on multilabel evaluation.
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