Monitoring, Drift, and Retraining

Know the Vocabulary

This lesson uses the terms below many times. Read them once now, and come back here when a later section needs one.

• Drift: The decay in a model's quality as the world changes. It is often gradual, but it can also be sudden. The code stays the same, but the world it learned from does not. The word also names the change itself: a shift in the inputs, or in how they relate to the outcome.
• Data drift: A change in the inputs a model receives. The feature values shift, while the learned relationship may still hold.