Optimize AUC metric on compile function with R Keras API

[dsaada]

Hi,

I would like to optimize the metric AUC with R keras API, it's possible?

the best way will be:

model %>% compile( loss = 'categorical_crossentropy', optimizer = optimizer_rmsprop(), metrics = c('auc') )

but of course, it does not work.

Thanks, David