Check out the latest release of MLRun, with updates to the feature store, and more functionality from the UI.

• Feature store updated:
  • Support for multiple ingestion engines: Pandas, Spark, Storey
  • Ingestion now supports filtering by date
  • Feature sets now include code usage examples

• Model monitoring has been improved and now includes feature analysis and drift analysis information
• A graph execution can be split to different paths.
• Run a new job via the UI based on a previous job and change some of the parameters.
• Jobs can now be aborted via the UI.
• View the pods of running jobs as well as the details of each pod.
• Job filtering now includes a filter by status and by the start time.
• A feature vector can now be created via the UI

See the full release notes here