/poc-mlops

A proof of concept for implementing MLOps.

Primary LanguagePython

POC-MLOPS

A proof of concept for implementing MLOps.

Influenced by Made With ML.

System Design

Alt text here

Considerations

  • The API model training endpoint could act as a trigger to train a model on a distributed computing network.
  • Utility functions should be implemented. This would allow more consistent results across the system when more complicated models are considered.
    • Transform function such that data is the same when either training or predicting.

To-Do

  • Add model registry
  • Add drift monitoring to dashboard
  • Add S3 equivalent for storage between model training phases, model storage etc