Model lifecycle management

Model Lifecycle Management

Set of processes and tools for managing the complete lifecycle of a machine learning model, from its initial design to its deployment and final retirement. This systematic approach ensures traceability, reproducibility, and continuous maintenance of models throughout their operational existence.

← Wstecz