What's new and changed in AI Factsheets
AI Factsheets 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 AI Factsheets
Ready to install or upgrade AI Factsheets?
- Related documentation:
Cloud Pak for Data Version 4.6.5
AI Factsheets was released in April 2023 as a standalone service with Cloud Pak for Data Version 4.6.5.
Operand version: 4.6.5
This release includes the following changes:
- Security fixes
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This release includes fixes for the following security issues:
Cloud Pak for Data Version 4.6.4
AI Factsheets was released in March 2023 as a standalone service with Cloud Pak for Data Version 4.6.4.
Operand version: 4.6.4
This release includes the following changes:
- New features
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The 4.6.4 release of AI Factsheets includes the following features and updates:
- Save external models to the catalog of your choice
- You can now save an external model to any catalog that you can access. (Previously, you could only save external models to the Platform assets catalog.) For details, see Adding an external model to the model inventory.
- Security fixes
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This release includes fixes for the following security issues:
Cloud Pak for Data Version 4.6.3
AI Factsheets was released in February 2023 as a standalone service with Cloud Pak for Data Version 4.6.3.
Operand version: 4.6.3
This release includes the following changes:
- New features
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The 4.6.3 release of AI Factsheets includes the following features and updates:
- Track more metrics from Watson™ OpenScale evaluations
- Additional Watson OpenScale metrics from Fairness and Global explainability and metrics from Watson OpenScale custom monitors are now synced to AI Factsheets to give you a more comprehensive view of the performance of your machine learning models. For details, see Viewing a factsheet.
- Attach files to a factsheet by using the Python client
- You can attach images or files that support your use case to a factsheet, using AIGovFacts Python client utility. For example, you might want to attach an ROC curve diagram, a confusion matrix table, or a PDF with a Pandas profiling report as model facts. For details see Customizing details for a factsheet.
- Security fixes
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This release includes fixes for the following security issues:
Cloud Pak for Data Version 4.6.1
AI Factsheets was released in December 2022 as a standalone service with Cloud Pak for Data Version 4.6.1.
Operand version: 4.6.1
This release includes the following changes:
- New features
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The 4.6.1 release of AI Factsheets includes the following features and updates:
- Integrate AI Factsheets with IBM® OpenPages®
- You can now integrate AI Factsheets with an external instance of IBM OpenPages. If you are already using an external instance of OpenPages as part of your AI Governance strategy, you no longer need to provision an instance of OpenPages in IBM Cloud Pak for Data. See Enabling integration with an external instance of IBM OpenPages for details.
- Security fixes
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This release includes fixes for the following security issues:
Cloud Pak for Data Version 4.6.0
AI Factsheets was released in November 2022 as a standalone service with Cloud Pak for Data Version 4.6.0.
Operand version: 4.6.0
This release includes the following changes:
- New features
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In Cloud Pak for Data Version 4.5, AI Factsheets was an optional component of Watson Knowledge Catalog. Starting in Version 4.6, AI Factsheets is a separately installed service.
AI Factsheets supports your AI Governance strategy by tracking details and metadata for machine learning models. The AI Factsheets service is linked to a model inventory that you can use to organize your machine learning models and factsheets. The inventory enables you to track details for each model and deployment. Validators and approvers can use the model data, which is securely gathered and stored in the factsheets, to get an accurate, up-to-date view of the model lifecycle details.