Open Aashish-1008 opened 5 years ago
I will try to use lugwig on Google Cloud ML Engine and host the model in cloud ml engine. Hope it works.
I am currently doing sentiment analysis for reviews data using ludwig. I already have my model on the localhost. I'm currently trying it out on GCP hopefully it works.
In order to train a Ludwig model in Google Cloud ML Engine (AI Platform Training now), you need to create a folder structure and Python code which is compatible with Cloud ML Engine format. (Check example here)
In regards serving If Ludwig generates a [SavedModel] after training (https://www.tensorflow.org/guide/saved_model#build_and_load_a_savedmodel) format, you can configure Serving in Cloud ML Engine.
I have never tried, I'm not sure what is required to be able to do that. Let's see if someone has tried to do it.