What's new and changed in Watson Machine Learning

Watson Machine Learning updates can include new features, bug fixes, and security updates. Releases are listed in reverse chronological order so that the latest release is at the beginning of the topic.

watsonx.ai and watsonx.governance Version 2.0.3

A new version of Watson Machine Learning was released in September 2024 with watsonx.ai and watsonx.governance 2.0.3.

Version 2.0.3 is installed on IBM Cloud Pak for Data 5.0.3 with the service operand version 5.0.3.

This release includes the following changes:

New features
This release of Watson Machine Learning includes the following features:
Create batch jobs for flows in deployment spaces
You can now create batch jobs for SPSS Modeler flows in deployment spaces. Flows give you the flexibility to decide which terminal nodes to run each time that you create a batch job from a flow. When you schedule batch jobs for flows, the batch job uses the data sources and output targets that you specified in your flow. The mapping for these data sources and outputs is automatic if the data sources and targets are also in your deployment space.

For more information, see Creating jobs in deployment spaces for SPSS Modeler flows.

watsonx.ai and watsonx.governance Version 2.0.1

A new version of Watson Machine Learning was released in July 2024 with watsonx.ai and watsonx.governance 2.0.1.

Version 2.0.1 is installed on IBM Cloud Pak for Data 5.0.1 with the service operand version 5.0.1.

This release includes the following changes:

New features
This release of Watson Machine Learning includes the following features:
Deploy assets with Runtime 24.1 on Power hardware

You can now deploy assets that use software specifications that are compatible with IBM Runtime 24.1 on Power hardware. For more information, see Frameworks and software specifications.

Deprecated features
The following features were deprecated in this release:
Deprecation of Runtime 23.1
Model types and software specifications based on Runtime 23.1 have been deprecated and will be discontinued in a future release. Update your deployments with supported frameworks and software specifications to prevent failure. For more information, see Frameworks and software specifications.

watsonx.ai and watsonx.governance Version 2.0.0

A new version of Watson Machine Learning was released in June 2024 with watsonx.ai and watsonx.governance 2.0.0.

Version 2.0.0 is installed on IBM Cloud Pak for Data 5.0.0 with the service operand version 5.0.0.

This release includes the following changes:

New features
This release of Watson Machine Learning includes the following features:
Forecast more steps with an AutoAI time series model
You can now increase the prediction horizon for a time series model created with AutoAI. For example, if your model forecasts weather, you can now predict more steps, such as hours or days, with your model. For more information, see Scoring a time series model.
Presto is now available as a data connection for AutoAI models
You can now connect to Presto as a data source for training an AutoAI experiment when deploying an AutoAI model. For more information, see Auto AI overview.
Deploy assets with Runtime 24.1
You can now create assets that use software specifications that are compatible with IBM Runtime 24.1. For more information, see Frameworks and software specifications.
Deploy traditional and generative AI assets with the watsonx.ai Python client library
The Watson Machine Learning Python client library is now part of an expanded library, the watsonx.ai Python client library. Use the watsonx.ai Python client library to work with traditional machine learning and generative AI assets. The Watson Machine Learning library will persist but will not be updated with new features. For more information, see Deploying AI assets programmatically.
Updates
The following updates were introduced in this release:
Constriction of Runtime 22.2
Model types and software specifications based on Runtime 22.2 have been constricted and will be discontinued in a future release. For more information, see Frameworks and software specifications.
Deprecated features
The following features were deprecated in this release:
Deprecation of Spark 3.3 and AutoAI Time Series Anomaly Detection (TS-AD)
Model types and software specifications based on Spark 3.3 and AutoAI Time Series Anomaly Detection (TS-AD) have been deprecated and will be discontinued in a future release. For more information, see Frameworks and software specifications.