Timeline for My metric is 0.65*accuracy + 0.35*recall. How do I convert that to continuous loss function?
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| Apr 1, 2017 at 21:40 | comment | added | Hristo Buyukliev | Yes, I use sigmoid outputs and gradient descent to optimize some loss (it could be MSE, MAE, crossentropy and so on), all in keras. My question is which loss fits my metric and why? | |
| Apr 1, 2017 at 20:29 | history | answered | Hugh Perkins | CC BY-SA 3.0 |