ML Toolkit

Creating a ML-toolkit that can be reused:

• ML pipeline:

  • A generic pipeline that has data version control, experiment tracking and a model registry

• ML monitoring:

  • A bolt-on service that can implement model monitoring

There are multiple protected branches which adapt the generic pipeline to produce different models:

• sap_change-**
• heat_change-**
• carbon_change-**

These branches will differ by the configuration files that define the data used and the outputs of the ML-pipeline

• There can be different additional logic for each branch but the pipeline will be the same.

Deployment

TBD