Can i use your implementation in a non interactive way?

[HiramCillo]

I just think that is little weird to introduce manually (or interactively) the number of layers and other hyperparameters.

[showkeyjar]

+1

[jmrichardson]

+1000

[Slyth3]

+1000000

[Slyth3]

So I found how to do this in the code

when initialising the model you need to set the paramaters

• input_through_cmd = True
• inputs_for_gui= [list of dimensions]

Example: model = XBNETClassifier(X_train,y_train, num_layers = 2, input_through_cmd = True, inputs_for_gui=[11,11,11,11,3])

This is a model of 4 hidden layers of 11 neurons each with "None" (3) output layer