MLflow is a Databricks open source project that's integrated into UDAP but available on an open source basis for integration with other platforms. MLflow helps with machine learning experiment and ...

Databricks recently made MLflow integration with Databrick notebooks generally available for its data engineering and higher subscription tiers. The integration combines the features of MLflow with ...

SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in Unified Analytics and founded by the original creators of Apache Spark™, announced Microsoft is joining the open source MLflow project as an ...

Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...

In a pre-briefing with ZDNet earlier in the week, Zaharia provided an update on MLflow's momentum, details on the new features and reasoning for moving management of the open source project from ...

Databricks is releasing MLflow 2.0, building upon MLflow's strong platform foundation and incorporating extensive user feedback to simplify data science workflows and deliver innovative, first-class ...

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Big-data company Databricks Inc. today updated its MLflow machine learning toolkit with support for the R programming language and other new features aimed at boosting its utility. Databricks had ...

Databricks Inc., the big-data and machine learning company that leads the commercial development of Apache Spark, today put its MLflow project into the hands of the Linux Foundation. MLflow is a ...

MLflow is an open source machine learning operations (MLOps) platform that was launched two years ago. Since then, the platform has been downloaded over 2 million times each month. The project has ...