This section lists major features and updates for the Cloudera Machine Learning service.
January 30, 2020
- Base Engine v11 - The default base engine is now version 11. The only change to the included libraries is the R interpreter, which is updated to version 3.6.2.
- Python 2 checkbox disabled - Python 2 sessions are now disabled by default on new clusters, but can be re-enabled by admin users.
- Load Balancer Source Ranges - When provisioning a Machine Learning workspace, in Advanced Settings, you can enter the CIDR range of IP addresses allowed to connect to the workspace. You must whitelist the entire IP pool for your VPC to ensure that terminal sessions can connect to the workspace.
- Updated Open Workbench button name - When launching a session, the Open Workbench button has been renamed to New Session.
- Login error message - Fixed a bug where users might see the following error message upon login to a CML workspace: "Email already associated with an account."
December 19, 2019
- Monitoring Workspaces with Grafana - CML now leverages Prometheus and Grafana to provide a dashboard that allows you to monitor how CPU, memory, storage, and other resources are being consumed by ML workspaces.
- Custom Quotas - CML workspace site administrators can now enable custom quotas to set resource usage per user.
- Tags - There are three new AWS resource tracking tags:
- Cloudera-Resource-Name: <The CRN of the associated CML Workspace for which the resource was provisioned.>
- Cloudera-Environment-Resource-Name: <The CRN of the Environment in which the resource was created.>
- Cloudera-Creator-Resource-Name: <The CRN of the CDP user who requested creation of the resource.>
AWS resource tags are set by default. They can be searched and viewed through the AWS console or CLI. These tags are helpful for tracking resource usage and cost.
- Granting remote access - The procedure to grant and revoke remote access to ML workspaces is improved. You can easily add new users. You can also see which users currently have access, and then quickly revoke access to specific users.
- CML instance type cost reduced - The node used to run the CML application was downsized to a more economical AWS instance type. The instance type was changed from m5.12xlarge to m5.4xlarge, which should result in a noticeable reduction in cloud costs.
- Base Engine v10-cml1.3 - The default engine is now v10. See
the package listing for the updated versions of included libraries.
- Python 3 is version 3.6.9 (was 3.6.8 in Engine v8).
- Python 2 is version 2.7.17 (was 2.7.11 in Engine v8).