Creation of Custom Machine Learning engine using Kubernetes cluster is broken

[scottdangelo]

The top level README.md has instructions for:
Tutorial 2. Working with Custom Machine Learning engine

• Step 1: Creation of Custom Machine Learning engine using Kubernetes cluster - deployment instructions

But the Deployment instructions no longer have K8s instructions.

I noticed a new Dockerfile in the custom-ml-engine-bluemix directory, but that Dockerfile uses the manage.py script, which is not in this directory, but is in the custom-ml-engine-containers directory.

But that *-containers dir has an outdated Dockerfile and the README says:contains the code for creating custom deployment of Keras ResNet50 model (images classification) and Spark MLlib (CARS4U) on IBM Cloud, which is the outdated use case for custom-ml (should be the German credit model).

So....There's a mix of Dockerfiles and associated scripts in the 2 directory trees, and these need to be reconciled, as well as the instructions for using K8s updated.