multiple inputs and multiple predicted outputs

[panchao12345]

Is it possible for deep-river to take multiple inputs to a learned model and output multiple predicted outputs? For example tensorflow1 of the form model_output = self.sess.run([self.curr_nn_output], feed_dict={self.x_: inputs_list})，where inputs_list and model_output are 2-dimensional lists .