ADS 2.11.8

Description

• Fixed bugs, added realm compatibility check, improved logging and error handling, and added additional telemetry for Aqua.
• Upgraded oci version to 2.125.3

ADS 2.11.7

Description

• Fixed the bug in ADSDataset.show_in_notebook().
• Updated langchain version.

ADS 2.11.6

Fixed bugs and introduced enhancements following our recent release, which included internal adjustments for future features and updates for the Jupyter Lab 3 upgrade.

ADS 2.11.5

Fixed bugs and introduced enhancements following our recent release, which included internal adjustments for future features and updates for the Jupyter Lab 3 upgrade.

ADS 2.11.4

Fixed bugs and introduced enhancements following our recent release, which included internal adjustments for future features and updates for the Jupyter Lab 3 upgrade.

ADS 2.11.3

Fixed bugs and introduced enhancements following our recent release, which included internal adjustments for future features and updates for the Jupyter Lab 3 upgrade.

ADS 2.11.2

Fixed bugs and introduced enhancements following our recent release, which included internal adjustments for future features and updates for the Jupyter Lab 3 upgrade.

ADS 2.11.1

Internal changes to support upcoming features and changes in Notebook related to Jupyter Lab 3 upgrade

ADS 2.11.0: Yanked

Reason this release was yanked: import errors in opctl.

ADS 2.10.1

• Releasing v1 of the Anomaly Detection Operator! The Anomaly Detection Operator is a no-code Anomaly or Outlier Detection solution through the OCI Data Science Platform. It uses dozens of models from Oracle’s own proprietary research and the best of open source. See the Anomaly Detection Section of the AI Operators tab for full details (link).
• Releasing a new version of the Forecast Operator. This release has faster explainability, improved support for reading from databases, upgrades to the automatic reporting, improved parallelization across all models, and an ability to save models for deferred inference. See the Forecast Section of the AI Operators tab for full details (link).
• Change to the default signer such that it now defaults to resource_prinicpal on any OCI Data Science resource (for example, jobs, notebooks, model deployments, dataflow).