Hi all,
I am in process of exploring PIO as the framework to deploy ML models to
production. But to serve our use-case there are few things missing and I
would love to contribute and would invite anyone who could guide and
support me in the journey.
List of features that I propose:
1) Implementing Cassandra as the event and metadata store.
2) Adding a monitoring and management framework for the ML models
Monitoring: Real time evaluation of the model whenever it produces
an output given a query. Monitoring can include many things like: health
monitoring, latencies, business and model metric real time evaluation.
Management: Versioning of model, keeping track of what went into
building model, model updation.
Some might already be available, some might not. I would love to hear
back and contribute back with some guidance.
Regards,
Utkarsh Deep
