force retrain of model if the model is older than a set time frame

[mukeshmk]

complete #TODO in predict() function.

fm-learn/src/fmlearn.py

Line 64 in fe73f9d

# TODO: force retrain of model if the model is older than a set time frame?

The ideal case is the model is trained once (possibly at the server start?) with the existing data and then retrained again and again after a certain time frame has passed by reloading data from the DB.

Since there is no plan for using background processes to trigger an event to automatically retrain the model, an alternate way of achieving this would by checking if a set time has passed before predict() function is called via the API calls and then retraining the model.

This could be a possible workaround to background process though not an ideal one.