Accelerated Data Science 2.6.3 is released
- Services: Data Science
- Release Date: August 05, 2022
The following changes were made in this version.
- Added
prepare_save_deploy()
method to theGenericModel
class. Now you can prepare model artifacts and deploy the model within one command. - Added support for binary payloads in model deployment.
- Updated
AutoMLModel
,GenericModel
,LightgbmModel
,PyTorchModel
,SklearnModel
,TensorflowModel
, andXgboostModel
classes to support binary payloads in model deployment. - To limit job runtime, added the
with_maximum_runtime_in_minutes()
method in theCondaRuntime
,DataFlowNotebookRuntime
,DataFlowRuntime
,GitPythonRuntime
,NotebookRuntime
, andScriptRuntime
classes. - Deprecated the
ads.dataflow.DataFlow
class. Use theads.jobs.DataFlow
class instead. - The
ads.jobs.DataFlow
class supports published conda environments.
For more information, see Data Science, ADS SDK, and ocifs SDK. Take a look at our Data Science blog.