I’m looking to modify the training process by giving weight to an input data set based on a feature, i.e. making all female inputs 1.7 times as important.
So far I’ve come across the weighted loss function, which doesn’t help me since it determines weight based on the class/label rather than the feature.
A custom loss function has the same fault, as I can only access the labels and preOutput Arrays (as far as I can see).
Is there a way to weigh input, other than by transforming the input data (i.e. by multiplying the female inputs)?
Thanks in advance.