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Releases: oracle/accelerated-data-science

ADS 2.13.8

15 Apr 05:25
1c43a76
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  • AI Quick Actions: Adds support for image-text-to-text models in multi-model deployment.

ADS 2.13.7

14 Apr 20:27
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  • AI Quick Actions: Removing OSS bucket config dependency.
  • Fixed a bug in the ADSDataset type inference logic. Resolved an issue where the dataset incorrectly identified column types during automatic type discovery.

ADS 2.13.6

07 Apr 21:25
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  • Fixed PII operator report generator script to use the latest code from report-creator.
  • AI Quick Actions: Enhance the container family validation for multi-model deployment.

ADS 2.13.5

03 Apr 16:05
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  • Added support for OpenAI and AsyncOpenAI clients to enable seamless integration with OCI-based LLM model deployments.
  • AI Quick Actions: Enhanced error message handling for clearer diagnostics and improved user experience.
  • AI Quick Actions: Introduced support for Multi-Model Deployment, allowing users to deploy multiple models within a single endpoint.

ADS 2.13.4

27 Mar 22:06
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  • Added compatibility with Python 3.12.
  • Forecast Operator: Introduced auto-select fallback to AutoMLX for faster approximate mode execution.

v2.13.3

21 Mar 22:05
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What's Changed

  • Forecast Operator
    ** Enabled custom report title
    ** Added AutoMLx to model list
    ** Added date to explanation csv
  • Fixed defined tag permission issue when creating AI Quick Action fine-tuning and evaluation.

ADS 2.13.2

15 Mar 03:54
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  • Fixed bug in DataScienceModel defined metadata.

ADS 2.13.1

13 Mar 17:41
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ADS 2.13.1

  • Upgraded OCI SDK to v2.148.0 for improved compatibility and performance.
  • Added support to launch the AI Quick Actions API server from anywhere using:
      python -m ads.aqua.server
  • Introduced HttpxOCIAuth class, enabling HTTPX clients to sign requests using OCI signers, ensuring compatibility with OCI Model Deployment services and LLM models.

  • Forecast Operator:

    • Optimized the auto-select feature to prevent redundant data re-saving during cross-validation.
    • Implemented AutoMLx Global Explainer for enhanced model interpretability.
  • Bug Fixes:

    • Fixed the Python 3.11 Compatibility. Replaced the deprecated cgi.parse_header function with a custom pure-Python implementation for parsing Content-Disposition headers.
    • Resolved a recursion issue that occurred when creating a new model with the latest OCI SDK version.

v2.13

14 Feb 22:56
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  • Bug fix related to latest OCI SDK version compatibility

ADS 2.12.11

04 Feb 17:41
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  • Fixed bug while loading model configuration in AI Quick Actions.