Accelerated Data Science 2.6.8 and 2.6.9 are released
- Services: Data Science
- Release Date: November 01, 2022
The following changes were made in ADS 2.6.8 and ADS 2.6.7.
2.6.8
- Fixed a bug in
ads.dataset.helper
to support Python 3.8 and Python 3.9.
2.6.7
- Fixed a bug in
PyTorchModel
. Thescore.py
failed whentorch.Tensor
was used as input data. - Fixed a bug in
ads opctl conda publish
command. - Added support for flexible shapes for Data Flow Jobs.
- Loading a model from Model Catalog (
GenericModel.from_model_catalog()
) and Model Deployment (GenericModel.from_model_deployment()
) no longer requires a model file name. - Switched from using
cx_Oracle
interface to theoracledb
driver to connect to Oracle Databases. - Added support for image attribute for the
PyTorchModel.predict()
andTensorFlowModel.predict()
methods. Images can now be directly passed to the model Deployment predict.
The following APIs are deprecated:
- OracleAutoMLProvider
For more information, see Data Science, ADS SDK, and ocifs SDK. Take a look at our Data Science blog.