Modern classification workflows often require classifying individual records and data points into multiple categories instead of just assigning a single label. Open-source Python libraries like scikit-learn make it easier to build models for these multi-label problems. Several models have built-in support for multi-label datasets, and a simple scikit-learn utility function enables using those that don’t … Continue reading Harnessing GPU Acceleration for Multi-Label Classification with RAPIDS cuML