I have been experimenting with some of the linear tree formulations within OMLT. My use case is a linear tree model with 9 inputs and 12 outputs using LinearTreeGDPFormulation.
I've noticed that n_outputs is hard coded to 1 in LinearTreeDefinition. For representing multi-output models, would the only current strategy be to train each of the 12 outputs separately and create separate OMLT blocks?