What's New

Major features and updates for the Cloudera Machine Learning data service.

April 21, 2022

Release notes and fixed issues for version 2.0.29.

New Features / Improvements

  • ML Discovery and Exploration, SQL and Visualization (Preview) - This feature enables Data Scientists to understand their data using a SQL editor and drag-and-drop Visual Dashboards within CML. Users can start with their pre-configured Data Connections and create Datasets that they can rely on for model development. For more information, see ML Discovery and Exploration.
  • Model metrics visualization - This feature allows Data Scientists and Machine Learning Engineers to monitor technical metrics relating to their running models, such as resource consumption and request throughput, within Cloudera Machine Learning.

Control Plane Application

  • Azure Files - Support for Azure Files NFS - TP
  • Public Load Balancer - This feature allows MLAdmins to configure a Public Load Balancer for a CML workspace but with fully private (Private EKS API Server endpoint) EKS deployment (AWS only).

Fixed Issues

  • Pagination widget (DSE-19937) - Fixed an issue where the pagination widget on the Session list page may not function as expected.
  • Notification emails (DSE-20085) - Fixed a bug where Job report recipients who subscribed to notification emails when their jobs terminated, may receive notification emails for termination statuses that they did not subscribe to.
  • Project list page (DSE-1975) - Fixed a bug where projects may not be sorted correctly on the project list page when users use the Created By field for sorting.

March 14, 2022

Release notes and fixed issues

New Features / Improvements

  • Site Administration - The Project Creation Timeout (minutes) settings on the Site Administration > Settings page now applies to project creation via both git clone and fork. Consider increasing this value in case you need to create a large project. If you have tried forking projects before doing this and they get "stuck," the only way to delete these projects is to manually navigate to the <user>/<project-name> URL, and select Project Settings > Delete.
  • Load Balancer subnet - Support specifying subnets for the Load Balancer created by CML on AWS. The Workspace Provisioning page now has a field for specifying a subnet for the Load Balancer. See Provisioning a Workspace for more information.

Fixed Issues

  • Editor (DSE-11423) - Fixed an issue so that the editor, session, or workbench windows resize when the browser window resizes.

February 10, 2022

Release notes and fixed issues

New Features / Improvements

  • ML Discovery and Exploration - Data Connections and Snippets are now Generally Available. CML workspaces now automatically discover data connections within the CDP environment and offer connection snippets for users. For more information, see ML Discovery and Exploration.
  • ML Runtimes - You can now filter the list of ML Runtimes that can be used in a given project.
  • Model Technical Metrics visualization is now available in CML (Technical Preview).
  • API v2 - You can now specify an input data example when you create a model build.
  • Backup and Restore - CLI-based Backup and Restore of CML workspaces is now available as a Preview Feature. AWS only. For more information, see CML Workspace Backup & Restore
  • Kubernetes - Kubernetes 1.21 is now supported on Azure.

Fixed Issues

  • API v2 (DSE-18782) - You can change the Runtimes and Spark versions (specified via the runtime addon setting) associated with a job, by using the Update Job API endpoint.