Modellforvaltning
Modellforvaltning, also known as model management, is a discipline within the field of data science and machine learning that focuses on the governance, maintenance, and lifecycle management of predictive models. It encompasses a range of activities, including model deployment, monitoring, updating, and retirement. The primary goal of modellforvaltning is to ensure that models remain accurate, reliable, and aligned with business objectives over time.
One of the key aspects of modellforvaltning is model monitoring, which involves tracking the performance of
Another important component of modellforvaltning is model updating, which involves retraining models with new data to
Model retirement is also a crucial aspect of modellforvaltning, as it involves decommissioning models that are
Overall, modellforvaltning is essential for ensuring the long-term success of predictive models and their integration into