Apache® Spark™ News

Kicking Off 2019 with an MLflow User Survey

It’s been six months since we launched MLflow, an open source platform to manage the machine learning lifecycle, and the project has been moving quickly since then. MLflow fills a role that hasn’t been served well in the open source community so far: managing the development lifecycle for ML, including tracking experiments and metrics, building reproducible production pipelines, and deploying ML applications. Although many companies build custom internal platforms for these tasks, there was no open source ML platform before MLflow, and we discovered that the community was excited to build one: since last June, 66 developers from over 30 different companies have contributed to MLflow.