Modellversjon

Modellversjon refers to a specific iteration or release of a model, particularly in the context of machine learning, software development, or product design. It signifies a distinct state of the model that has undergone development, training, or refinement. Each modellversjon typically represents an improvement, a bug fix, or a new feature compared to previous versions. Tracking and managing these versions is crucial for reproducibility, collaboration, and deployment. When a new modellversjon is created, it is often assigned a unique identifier, such as a number, a date, or a descriptive tag, to distinguish it from others. This allows developers and users to refer to a precise instance of the model and understand its characteristics and performance. In machine learning, for example, a modellversjon might correspond to a specific trained model file that has been evaluated and deemed suitable for use. In software, it could represent a deployed build with particular functionalities. The concept ensures accountability and facilitates rollback to previous stable states if issues arise with newer iterations.