Release Notes V1.22.0

Version	1.22.0
Release Date	July 21, 2023

Data and Model Management

• Enhanced Experiments to enable use data from external sources.

• Moved Algorithm from Model Studio to Resources Module making it a generic analytical resource.

Common

• Snapshots: Enhanced the change log by adding the following snapshot related capabilities:

  • Snapshot Preview: Allows users to view any past snapshot of an object.

  • Snapshot Restore: Undoes recent changes and reverts the object to a previous snapshot.

  • Copy Snapshot: Creates a new object using a copy of an object’s past snapshot

• Monitoring Dashboard: This a new capability that allows users to monitor different aspects of the information and activity on the platform

  • The Activity dashboard tracks user activity (logins, logouts, session times, etc.)

  • The Governance dashboard tracks the governance statuses of all objects (Approval statuses, Reviews statuses, Review due dates, etc.)

  • The Metrics dashboard tracks specific metrics for specific objects (AUC, Accuracy, Drift, etc. for models, Average, Variance, etc. for Data elements,..)

• Monitoring Alerts: Using the Monitoring Dashboard, Users can set conditions that can trigger alerts if met.

  • Alerts are defined by conditions and severity

  • Actions can be automatically taken if an alert triggers:

    • Send notifications, emails to specific users.

    • Initiate review requests.

• Custom Fields: Improved capability to enable additional field types, searchability and access control.

• Report Creation: Enabled easier access to object metadata to simplify report writing.

• Approval and Review Requests: Allow approval requests or review requests to be sent to anyone in the responsibility without naming a specific reviewer.

• Error messaging: Provide clearer errors when creating objects with create_data() command in the notebook.

Technical

• Simplify Ability to run multiple corridor-workers on the same machine by specifying worker name and worker specific configurations.

  • Example use case: Run separate corridor-worker to execute “Fetch Columns”

• Multiple performance speedups for various APIs.

Backward compatibility

• Worker queues updated with below changes:

  • apilocal renamed to api

  • celery split into two queues: spark and quick_spark

• Users without read access to all the precedent items to an object will not be able to export the artifact of the object.