Releases: oracle/accelerated-data-science
Releases · oracle/accelerated-data-science
ADS 2.13.2
- Fixed bug in DataScienceModel defined metadata.
ADS 2.13.1
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 parsingContent-Disposition
headers. - Resolved a recursion issue that occurred when creating a new model with the latest OCI SDK version.
- Fixed the Python 3.11 Compatibility. Replaced the deprecated
v2.13
ADS 2.12.11
- Fixed bug while loading model configuration in AI Quick Actions.
ADS 2.12.10
- Support inference container URI to be edited for unverified models in AI Quick Actions.
- Logging improvements for all CRUD operations in AI Quick Actions.
- Expand allowable parameters for fine-tuning operation in AI Quick Actions.
- Allow local model cache delete while registering models in AI Quick Actions.
- Add validation flag ignore-model-artifact-check to ignore config.json check while registering model in AI Quick Actions.
- Allow user to watch fine-tuning job run logs in AI Quick Actions when using CLI mode.
- Load base model configuration files by default for verified models in AI Quick Actions.
- Added a framework to support embedding onnx models.
- Added headers parameters for ADS Langchain.
- Addition of SessionLogger and MetricLogger AutoGen loggers for logging and reporting.
- Support for a centralized and reusable client for interacting with OCI Model Deployment.
- Bug fix for ADS telemetry logging.
- Set defaults for optional parameters in ChatOCIModelDeploymentVLLM.
- Real-Time What-If Analysis with Model Catalog and Model Deployment Integration.
- Support for AutoMLx internal explainability mode.
- Standardize outputs & report for single-series forecasts without target_category_columns.
ADS 2.12.9
- Support freeform and defined tags for resource creation in AI Quick Actions.
- Enhance LangChain Integration to accept the route parameter in the request headers.
ADS 2.12.8
- Fixed bugs in the AI Quick Actions Model Deployment for models registered via Object Storage.
ADS 2.12.7
- Fixed bugs in the AI Quick Actions Evaluation.
ADS 2.12.6
- Support using environment variable to override AI Quick Actions Fine Tuning container image.
- Adding metadata in telemetry error logging for AI Quick Actions.
ADS 2.12.5
- Fixed bugs in the AI Quick Actions Evaluation.