Mallinhallintajärjestelmällä

Mallinhallintajärjestelmällä, often abbreviated as MCM (Model Control Management), refers to a system designed to manage and control the development, versioning, and deployment of models, particularly in the context of data science, machine learning, and software engineering. The primary goal of an MCM system is to provide a structured and repeatable process for handling the lifecycle of models, ensuring transparency, reproducibility, and efficient collaboration among teams.

Such systems typically encompass several key functionalities. They allow users to register and track different versions of models, often including not just the model artifact itself but also associated code, data, and parameters used for training. This version control is crucial for auditing, debugging, and rolling back to previous model states if necessary. MCM systems also facilitate the deployment of models into various environments, such as development, staging, and production, with mechanisms for testing and validation before full release.

Furthermore, an MCM system often integrates with other tools in the MLOps (Machine Learning Operations) or DevOps pipeline, such as data preparation tools, experiment tracking platforms, and continuous integration/continuous deployment (CI/CD) pipelines. This integration helps automate the model lifecycle, reducing manual effort and potential errors. By centralizing model management, MCM systems promote best practices, enhance model governance, and accelerate the delivery of reliable and high-performing models.