sagemaker.mlops.workflow.condition_step#
The step definitions for workflow.
Classes
|
Conditional step for pipelines to support conditional branching in the execution of steps. |
- class sagemaker.mlops.workflow.condition_step.ConditionStep(name: str, depends_on: List[str | Step] | None = None, display_name: str | None = None, description: str | None = None, conditions: List[Condition] | None = None, if_steps: List[Step] | None = None, else_steps: List[Step] | None = None)[source]#
Bases:
StepConditional step for pipelines to support conditional branching in the execution of steps.
- property arguments: Dict[str, Any] | List[Dict[str, Any]]#
The arguments dict that is used to define the conditional branching in the pipeline.
- property properties#
A simple Properties object with Outcome as the only property
- property step_only_arguments#
Argument dict pertaining to the step only, and not the if_steps or else_steps.