hyperas
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True loss and true variance
Hi ,
Thanks for great library!
Could you support minimize function based true_loss and true_loss_variance ?
https://github.com/hyperopt/hyperopt/wiki/FMin
I mean if model returns dictionary containing these keys , then it's probably better select model based on generalization loss ?!
hyperopt does this for you implicitly when you pass these extra parameters, would be in this line:
https://github.com/maxpumperla/hyperas/blob/master/hyperas/optim.py#L73
to use this in hyperas, just pass them here:
https://github.com/maxpumperla/hyperas/blob/master/examples/simple.py#L65