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@mrDzurb mrDzurb released this 08 Dec 01:14
· 3888 commits to main since this release
v2.6.9
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ADS

  • Added compatibility with Python 3.10.
  • Added update_deployment() method to the framework-specificclasses. Update model deployment associated with the model.
  • Added from_id() method to the framework-specific classes. Load existing model by OCID directly from the model catalog and model deployment.
  • Added upload_artifact() to the framework-specific classes. Upload model artifacts to Object Storage.
  • Added update() method to the framework-specific classes. Update the model metadata for the registered model.
  • Added config, singer, signer_callable attributes to the ads.set_auth() to support additional signers.
  • Added support for Instance Principals authentication for the ads opctl conda publish and ads opctl conda install commands.
  • Added an option for PyTorchModel framework allowing to serialize model in a TorchScript format.
  • Added an option to import :doc:framework-specific <framework_specific_instruction> classes directly from the ads.model package. Example: from ads.model import LightGBMModel, AutoMLModel, GenericModel.
  • Fixed a bug in ADSDataset get_recommendations when imbalanced correction depends on classes alpha order.
  • Fixed a bug in ADS jobs. The shape configuration details were incorrectly extracted from a notebook session.
  • Fixed a bug to replace the use of a deprecated API with latest API in the Model Evaluation module.

Following modules are marked as deprecated:

  • ads.catalog.model.py.
  • ads.catalog.notebook.py
  • ads.catalog.project.py
  • ads.catalog.summary.py
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