Dissemination - MLOps - MLFlow Integration into sktime annotators

[RobotPsychologist]

No description provided.

[RobotPsychologist]

Conditional on base class rework completion.
Flavours in https://github.com/ml-toolkits/mlflavors
https://www.sktime.net/en/latest/api_reference/deployment.html

[fkiraly]

For context, sktime has mlflow integration, originally developed by Benjamin Bluhm. He later included this in his mlflavours package which has mlflow integration for various time series packages, but it is no longer maintained.

There are a few "entry level" issues which might help getting into mlflow integration with sktime in general that might help understanding, I would suggest in this sequence - and these are not conditional on the base class consolidation:

1. There is a tutorial in this wokrshop on the integration with forecasting: https://github.com/sktime/sktime-tutorial-europython-2023 - it would be great to check if it still works
2. as a second step, I would suggest to (a) merge the tutorial into sktime, then (b) merge the sktime flavour in mlflavours back into sktime. Finally, (c) update the tutorial with the sktime flavour.

These two should give provide some user and developer experience with writing mlflow flavours, which then can be used to integrate the detection module.