maxpumperla
commented
5 years ago @BenLim88 not exactly sure what you mean, just define your loss and return it as loss in the return value of your model function here
https://github.com/maxpumperla/hyperas/blob/master/examples/simple.py#L65
How can I define custom loss functions in Hyperas?
I am running a 4 dense layers architecture with 3 outputs. For the loss, i would like to define it as:
Loss
( (Output1 Error) / max[Output1_pred, Output1_true] ) + ( (Output2 Error) / max[Output2_pred, Output2_true] ) + ( (Output3 Error) / max[Output3_pred, Output3_true] )