Repository for MLOps components
MLOps is conceived as a set of practices to put and monitor AI applications in production. Based on the user requirements gathered in AI4EOSC project, we provide two tools:
- one focusing on experiment tracking and model registry, using MLflow Submodule:
- one focusing on drift detection, using Frouros Submodule:
- another one focusing on drift monitoring: