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Databricks, the company behind the commercial development of Apache Spark, is placing its machine learning lifecycle project MLflow under the stewardship of the Linux Foundation.

MLflow provides a programmatic way to deal with all the pieces of a machine learning project through all its phases — construction, training, fine-tuning, deployment, management, and revision. It tracks and manages the the datasets, model instances, model parameters, and algorithms used in machine learning projects, so they can be versioned, stored in a central repository, and repackaged easily for reuse by other data scientists.

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