coral-pytorch
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Raschka-research-group
CORAL and CORN implementations for ordinal regression with deep neural networks.
Hi, I have a classification task for a rating system over 5 classes. I want now to switch to ordinal regression but I am a bit lost regarding the importance...
Consider multi-label ranking problem. For example, a game has 8 players. The input will be an instace of game (container info about 8 players). The output will be the ranking...
Hi, Thanks for sharing the code. I noticed that a importance_weights of the coral loss. Could I add the importance_weights of each class to the corn loss? Many thanks, Tien-Hong
The computation of the logsigmoid can be done once and stored to save some CPU/GPU cycles. In both `coral_loss` and `corn_loss`
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CORAL and CORN implementations for ordinal regression with deep neural networks.