Introducing MLflow: an Open Source Machine Learning Platform - The Databricks Blog

Everyone who has tried to do machine learning development knows that it is complex. Beyond the usual concerns in the software development, machine learning (ML) development comes with multiple new challenges. It's hard to track experiments. Machine learning algorithms have dozens of configurable parameters, and whether you work alone or on a team, it is difficult to track which parameters, code, and data went into each experiment to produce a model. It's hard to reproduce results.