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The current loss function in HyperparameterOptimization.objective doesn't make a lot of sense.
The validation error part is fine, but the other cost is currently in the form $CN + T$, where $C$ is some constant, $N$ is the number of training points used, while $T$ is the time required to train the network.
This should be replaced by some nonlinear function $f$ of the time $t$ required to evaluate the network. This could simply be evaluated by the number of connections....
The text was updated successfully, but these errors were encountered:
The current loss function in
HyperparameterOptimization.objective
doesn't make a lot of sense.The validation error part is fine, but the other cost is currently in the form$CN + T$ , where $C$ is some constant, $N$ is the number of training points used, while $T$ is the time required to train the network.
This should be replaced by some nonlinear function$f$ of the time $t$ required to evaluate the network. This could simply be evaluated by the number of connections....
The text was updated successfully, but these errors were encountered: