Mflow
Mflow is a software platform designed for machine learning operations, commonly referred to as MLOps. It aims to streamline the process of developing, deploying, and managing machine learning models in production environments. The platform provides tools and services that cover various stages of the machine learning lifecycle, from data preparation and model training to model monitoring and retraining.
Key features of Mflow often include capabilities for experiment tracking, allowing users to log and compare
Furthermore, Mflow platforms often incorporate model monitoring, which is crucial for detecting performance degradation or drift