DataRobot Mitigation Retraining API
Use the endpoints described below to manage retraining. To maintain model performance after deployment without extensive manual work, DataRobot provides an automatic retraining capability for deployments. Upon providing a retraining dataset registered in the Data Registry, you can define up to five retraining policies on each deployment. Each policy consists of a trigger, a modeling strategy, modeling settings, and a replacement action. When triggered, retraining will produce a new model based on these settings and notify you to consider promoting it.