- Services: Data Science
- Release Date: Aug. 5, 2022
The following changes were made in this version.
prepare_save_deploy()method to the
GenericModelclass. Now you can prepare model artifacts and deploy the model within one command.
- Added support for binary payloads in model deployment.
XgboostModelclasses to support binary payloads in model deployment.
- To limit job runtime, added the
with_maximum_runtime_in_minutes()method in the
- Deprecated the
ads.dataflow.DataFlowclass. Use the
ads.jobs.DataFlowclass supports published conda environments.