code: def set_output(self, output_names, output_dims):
          
          spec = self.spec
          nn_spec = self.nn_spec
          for idx, dim in enumerate(output_dims):
              spec.description.output[idx].type.multiArrayType.ClearField("shape")
              spec.description.output[idx].type.multiArrayType.shape.extend(dim)
              spec.description.output[idx].type.multiArrayType.dataType = \
                      _Model_pb2.ArrayFeatureType.DOUBLE
docs: Set the outputs of the network spec.
  
          Parameters
          ----------
          output_names: [str]
              List of output names of the network.
  
          output_dims: [tuple]
              List of output dimensions of the network. The ordering of output_dims is the same
              as output_names.
  
          Examples
          --------
          .. sourcecode:: python
  
              # Set the neural network spec outputs to be 3 dimensional vector feature1 and
              # 4 dimensional vector feature2.
              >>> builder.set_output(output_names = ['feature1', 'feature2'], [(3,), (4,)])
  
          See Also
          --------
          set_input, set_class_labels