Hi, if I want to train camelyon16 and tcga datasets (following your experiment setup), what num_classes should I set? 1 or 2? I am a little bit confused as in the DSMIL GitHub repo, its written something like this "For binary classifier, use 1 for positive bags and 0 for negative bags. Use --num_classes=1 at training."
Hi, if I want to train camelyon16 and tcga datasets (following your experiment setup), what
num_classesshould I set? 1 or 2? I am a little bit confused as in the DSMIL GitHub repo, its written something like this "For binary classifier, use 1 for positive bags and 0 for negative bags. Use --num_classes=1 at training."