Best Tools for ML Model Governance, Provenance, and Lineage - neptune.ai

ML software development is complex; building an ML model is one thing, improving and maintaining it, is another. If you want your machine learning models to be robust, compliant, and give reproducible results, you must invest time and money in quality model management. Model governance, model provenance, and model lineage tools help you in doing just that by tracking model activity, recording all changes in the data and the model, and outlining best practices for data management and disposal. In this post, let us discuss what these tools are and how to choose the best ones. While these three practices are meant for different things, they have a lot in common. So a tool that is good for, say model governance, is usually great for the other two as well. I will guide you through some of the most popular tools for model governance among developers and explain which one you should choose based on your particular use case.