azureml-pipeline-steps Package



Contains pre-built steps that can be executed in an Azure Machine Learning Pipeline.

Azure ML Pipeline steps can be configured together to construct a Pipeline, which represents a shareable and reusable Azure Machine Learning workflow. Each step of a pipeline can be configured to allow reuse of its previous run results if the step contents (scripts and dependencies) as well as inputs and parameters remain unchanged.

The classes in this package are typically used together with the classes in the core package. The core package contains classes for configuring data (PipelineData), scheduling (Schedule), and managing the output of steps (StepRun).

The pre-built steps in this package cover many common scenarios encountered in machine learning workflows. To get started with pre-built pipeline steps, see: