Mike Cornell announces MLflow 2.0:
Today, we are thrilled to announce the availability of MLflow 2.0. Building upon MLflow’s strong platform foundation, MLflow 2.0 incorporates extensive user feedback to simplify data science workflows and deliver innovative, first-class tools for MLOps. Features and improvements include extensions to MLflow Recipes (formerly MLflow Pipelines) such as AutoML, hyperparameter tuning, and classification support, as well modernized integrations with the ML ecosystem, a streamlined MLflow Tracking UI, a refresh of core APIs across MLflow’s platform components, and much more.
I like a lot of what MLflow does; it’ll be interesting to see how quickly different products adopt 2.0.