Does PyGAD support multi-label classification? That is, classification where the classes are not mutually exclusive? My y variable is a numpy array created by the MultiLabelBinarizer. I am trying to build a recommendation algorithm for patients, and the patients typically receive anywhere from 1 to 5 recommendations.
Does PyGAD support multi-label classification? That is, classification where the classes are not mutually exclusive? My y variable is a numpy array created by the MultiLabelBinarizer. I am trying to build a recommendation algorithm for patients, and the patients typically receive anywhere from 1 to 5 recommendations.