Post launch, the model can be subject to data drift, affecting input data and relationships, or concept drift, affecting prediction based on similar data. Implement metrics for input data and model performance for the power consumption model. Start by implementing in an IDE environment; extend to docker service in a subsequent issue.
Post launch, the model can be subject to data drift, affecting input data and relationships, or concept drift, affecting prediction based on similar data. Implement metrics for input data and model performance for the power consumption model. Start by implementing in an IDE environment; extend to docker service in a subsequent issue.