This sample demonstrates a common training scenario.
New models are being trained starting from the production model (if it
exists).
This sample produces two runs:
1. The trainer will train the model from scratch and set as prod after
testing it
2. Exact same configuration, but the pipeline will discover the existing
prod model (published by the 1st run) and warm-start the training from
it.