Accelerated Data Science 2.8.6 is released
- Services: Data Science
- Release Date: June 13, 2023
The following changes were made in ADS 2.8.6:
- Resolved an issue in
ads opctl build-image job-local
when the build ofjob-local
would get stuck. Updated the Python version to 3.8 in the base environment of thejob-local
image. - Fixed a bug that prevented the support of defined tags for Data Science job runs.
- Fixed a bug in the
entryscript.sh
ofads opctl
that attempted to create a temporary folder in the/var/folders
directory. - Added support for defined tags in the Data Flow application and application run.
- Deprecated the old
:py:class:`~ads.model.ModelDeploymentProperties
and:py:class:`~ads.model.ModelDeployer
classes, and their corresponding APIs. - Enabled the uploading of large size model artifacts for the
:py:class:`~ads.model.ModelDeployment
class. - Implemented validation for shape name and shape configuration details in Data Science jobs and Data Flow applications.
- Added the capability to create
ADSDataset
using the Pandas accessor. - Made
Docker
dependency optional forads opctl run
. - Provided a prebuilt watch command for monitoring Data Science jobs with
ads opctl
. - Eliminated the legacy
ads.dataflow
package from ADS.
For more information, see Data Science and take a look at our Data Science blog.