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MLflow is aiming to stabilize its API in version 1.0 this spring and add a number of other new features. In this talk, we'll share some of the features we have in mind for the rest of the year. These include ongoing work such as a database store for the tracking server and Docker project packaging, as well as new improvements in multi-step workflows, model management, and production monitoring.
MLflow is aiming to stabilize its API in version 1.0 this spring and add a number of other new features. In this talk, we'll share some of the features we have in mind for the rest of the year. These include ongoing work such as a database store for the tracking server and Docker project packaging, as well as new improvements in multi-step workflows, model management, and production monitoring.
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