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Arthur Platform 3.8.0

Release notes for Arthur Platform 3.8.0

New Features:

  • Added support for ranked list output type models for recommender systems and search use cases. This release includes support for 6 performance metrics for ranked list type models: Precision @k, Recall @k, Mean Average Precision @k, nDCG @K, Mean Reciprocal Rank, and Ranked List AUC.
  • Added statuses for model enrichments in the API. Users who want to ensure that enrichments are ready before sending data can use the wait_for_enrichments=True flag in the send_inferences and send_bulk_inferences SDK functions.
  • Cluster administrators can now adjust the memory resources used for serving anomaly detection enrichments.

Improvements:

  • Reduced the training time of the anomaly detection enrichment by up to 30x.
  • Improved user experience for selecting model tags to filter on in the UI
  • Improved user experience managing notifications for SSO Users

Bug Fixes:

  • Alerts that are set up as “Less Than” will be categorized correctly as “Less Than” on the alerts page
  • Users can now successfully create an alert rules from the overview page
  • The UI will no longer show users the option to delete a model unless they have permissions to do so
  • Alerts created using custom metrics in the notebook can now be edited in the UI
  • Improvements to sorting Inference Deep Dive Table
  • Alert plot dates now appear in the correct order on the alerts overview page