Is your feature request related to a problem? Please describe.
Currently the qnn hyperparameters are fixed: these include the bias, momentum, learning rate, batch size, etc. In order to make the model more flexible, we need to enable user manipulation of these values.
Describe the solution you'd like
New parameters added to the trainNetwork function, preferably keyword arguments, that allow users to change these values while making the API call to train the network.
Describe alternatives you've considered (if any)
None, but if anyone has another idea feedback would be appreciated.
Additional context
None.
Is your feature request related to a problem? Please describe.
Currently the qnn hyperparameters are fixed: these include the bias, momentum, learning rate, batch size, etc. In order to make the model more flexible, we need to enable user manipulation of these values.
Describe the solution you'd like
New parameters added to the
trainNetworkfunction, preferably keyword arguments, that allow users to change these values while making the API call to train the network.Describe alternatives you've considered (if any)
None, but if anyone has another idea feedback would be appreciated.
Additional context
None.