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Deprecated the ads.dataflow.DataFlow class. It has been superseded by the ads.jobs.DataFlow class.
Added prepare_save_deploy() method to the GenericModel class. Prepare model artifacts and deploy the model with one command.
Added support for binary payloads in model deployment.
Updated AutoMLModel, GenericModel, LightgbmModel, PyTorchModel, SklearnModel, TensorflowModel, and XgboostModel classes to support binary payloads in model deployment.
The maximum runtime for a Job can be limited with the with_maximum_runtime_in_minutes() method in the CondaRuntime, DataFlowNotebookRuntime, DataFlowRuntime, GitPythonRuntime, NotebookRuntime, and ScriptRuntime classes.
The ads.jobs.DataFlow class supports Published conda environments.