Use PZMM to Save Tensorflow Model

I was working with a customer who was trying to use the pzmm.PickleModel.pickleTrainedModel() function on a TensorFlow model, but they were getting a 'TypeError: can't pickle weakref objects'. My ideal solution would be to for the PickleTrainedModel() function to have the ability to ingest Tensorflow models or have a similar function available for Tensorflow models. For now, I think the work-around would be to use Tensorflow's save() function to save the model, make that model available to Model Manager, and then edit the score code to use Tensorflow's load_model() function instead of un-pickling the model, but I am open to other work-around ideas.

Empieza reproduciendo el TypeError de pzmm.PickleModel.pickleTrainedModel() con un modelo de TensorFlow y, después, compara el comportamiento solicitado con el flujo de trabajo save() y load_model() de TensorFlow. Se considerará terminado cuando exista una forma acordada y probada para que Model Manager gestione modelos de TensorFlow, o una alternativa documentada si no se admite el pickling directo.