Database Reference
In-Depth Information
Model deployment and integration
Once we have found the optimal model based on the train-test loop, we might still face the
task of deploying the model to a production system so that it can be used to make action-
able predictions.
Usually, this process involves exporting the trained model to a central data store from
where the production-serving system can obtain the latest version. Thus, the live system
re-
freshes
the model periodically as a new model is trained.
