Model lifecycle management

Model Retraining

Process of periodically or triggered retraining of a model with new data to maintain or improve its performance in response to evolving data patterns. Automatic retraining uses CI/CD pipelines adapted for machine learning to ensure the continued relevance of the model.

← Tillbaka