Accelerated Data Science 2.8.4 is released
- Services: Data Science
- Release Date: May 05, 2023
The following changes were made in ADS 2.8.4:
- Added support for creating
ADSDatasetfrom pandas dataframe. - Added support for multi-model deployment using Triton.
- Added support for model deployment local testing in
ads opctlCLI. - Added support in
ads opctlCLI to generate starter YAML specification for the Data Science job, Data Flow application, Data Science model deployment, and pipeline resources. - Added support for invoking model prediction locally with
predict(local=True). - Added support for attaching customized
score.pywhen preparing model. - Added status check for model deployment delete, activate, or deactivate APIs.
- Added support for training and verifying
SparkPipelineModelin Data Flow. - Added support for generating
score.py for GPU model deployment. - Added support for setting defined tags in Data Science jobs.
- Improved model deployment progress bar.
- Fixed bug when using
ads opctlCLI to run jobs locally. - Fixed bug in Dataflow magic when using
archive_uriin Data Flow configuration.
For more information, see Data Science and take a look at our Data Science blog.