r/MachineLearning - [Project] Fixed input and variable output neural network

Just off the top of my head, I would say this is a multilabeling problem, and if it isn't too big, just create an output vector that contains all the possible vector values, and put 0 in the things that don't apply, and train away. I believe a fully connected network will work, and use binary_crossetropy as your loss function and a sigmoid activation in the output layer.