What's new and changed in Watson OpenScale
Watson™ OpenScale updates can include new features, bug fixes, and security updates. Updates are listed in reverse chronological order so that the latest release is at the beginning of the topic.
You can see a list of the new features for the platform and all of the services at What's new in IBM Cloud Pak® for Data.
Installing or upgrading Watson OpenScale
- Related documentation:
Cloud Pak for Data Version 4.7.2
A new version of Watson OpenScale was released in August 2023 with Cloud Pak for Data 4.7.2.
Operand version:4.7.2
This release includes the following changes:
- Customer-reported issues fixed in this release
- DT224374: The custom monitor name is not resizable in Watson OpenScale monitoring dashboard
- Security fixes
- This release includes fixes for the following security issues:
- CVE-2023-26136
- CVE-2023-34462
- CVE-2023-32731
- CVE-2023-1428
- CVE-2023-32732
- CVE-2023-3635
- CVE-2022-24834
- CVE-2022-36021
- CVE-2023-28856
- CVE-2023-25155
- CVE-2023-34453
- CVE-2023-34454
- CVE-2023-34455
- CVE-2023-37276
- CVE-2023-25399
- CVE-2023-26049
- CVE-2023-26048
- CVE-2023-37920
- CVE-2023-2976
- CVE-2023-26115
- CVE-2023-36665
- CVE-2023-26920
- CVE-2023-34104
- CVE-2023-28154
- CVE-2022-25883
- CVE-2022-46175
Cloud Pak for Data Version 4.7.0
A new version of Watson OpenScale was released in June 2023 with Cloud Pak for Data 4.7.0.
Operand version: 4.7.0
This release includes the following changes:
- New features
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The 4.7.0 release of Watson OpenScale includes the following features and updates:
- Integrate Watson OpenScale with your deployment spaces
- You can now use Watson OpenScale to review model evaluation results and transaction records from Watson Machine Learning deployment spaces. For more information, see Evaluating deployments in spaces.
- Configure deployments with a new guided setup
- A new setup wizard is available to help you add deployments to the Watson OpenScale Insights dashboard and provide model details. For more information, see Adding deployments for evaluations.
- Add multi-target prediction models
- When you add deployments in Watson OpenScale, you can now specify multiple prediction columns to provide details about your model output to configure quality evaluations. For more information, see Providing model details.
- Configure new drift evaluation to provide more insights
- You can configure a new version of the drift evaluation in Watson
OpenScale to generate the following new metrics:
- Output drift
- Feature drift
- Model quality drift
For more information, see Configuring drift v2 evaluations.
- Understand model performance with model health evaluations
- Watson OpenScale now provides new model health evaluations by default to help you understand how efficiently your model processes your transactions. For more information, see Model health metrics.
- New fairness metrics for batch deployments
- When you add batch deployments in Watson OpenScale, you can now configure the following fairness metrics to measure performance:
- Run fairness evaluations with unstructured data
- You can now enable fairness evaluations on unstructured data types to identify bias. For more information, see Configuring fairness evaluations.
- Evaluate batch deployments in preproduction
- You can now configure batch processing for preproduction deployments. For more information, see Configuring batch processing.
- Security fixes
- This release includes fixes for the following security issues:
- CVE-2023-0842
- CVE-2023-22946
- CVE-2023-26049
- CVE-2023-26048
- CVE-2023-27043
- CVE-2023-30861
- CVE-2022-45688
- CVE-2023-32681