Settable MAXIMUM_MODEL_AGE

[Flix6x]

The MAXIMUM_MODEL_AGE is hardcoded to 7 days (in pipeline/train_model.py). While I consider this a reasonable default, I would find it useful to be able to override the default by setting a different age explicitly, to support assets that require more frequent or less frequent retraining.

Could this be done, for example, by introducing it as a variable in the function signature of train_model_pipeline()? Or perhaps you'd consider it more suitable as a PredictionJobDataClass attribute?

[FrankKr]

Good idea, thanks for suggesting! I have added the label 'good first issue' to it.

[TheoPascoli]

Hello, is this issue still pending, resolved, or is it no longer needed?

[Flix6x]

From my end, still pending. I could work on it, provided I get some input on the desired implementation approach (see my previous question).

[TheoPascoli]

I was asking because I wanted to do it myself. I don't necessarily need this development to be done, but since it is labeled as a 'good first issue,' I thought it would be a good entry point to the repository for me, especially if there are other developments to be done later on from the RTE side. I'll try something then

[JonitaRuiter]

Hi Theo, sorry for the late reply! I think this issue is still pending, so if you can propose a PR, I'll make sure it is reviewed!