pipeline_output_dataset Module

Contains functionality for promoting an intermediate output to an Azure Machine Learning Dataset.

Intermediate data (output) in a pipeline by default will not become an Azure Machine Learning Dataset. To promote intermediate data to an Azure Machine Learning Dataset, call the as_dataset method on the PipelineData class to return a PipelineOutputFileDataset object. From a PipelineOutputFileDataset object, you can then create an PipelineOutputTabularDataset object.

Classes

DatasetRegistration

Describes how the intermediate data in a pipeline should be promoted to an Azure Machine Learning dataset.

If name is not provided, the dataset will be saved with no name and will not show up when listing all the datasets in the workspace.

Describe how the intermediate data in a pipeline should be promoted to an Azure Machine Learning dataset.

If name is not provided, the dataset will be saved with no name and will not show up when listing all the datasets in the workspace.

PipelineOutputAbstractDataset

Represents the base class for promoting intermediate data to an Azure Machine Learning Dataset.

Once an intermediate data is promoted to an Azure Machine Learning dataset, it will also be consumed as a Dataset instead of a DataReference in subsequent steps.

Create an intermediate data that will be promoted to an Azure Machine Learning Dataset.

PipelineOutputFileDataset

Represents intermediate pipeline data promoted to an Azure Machine Learning File Dataset.

Once an intermediate data is promoted to an Azure Machine Learning Dataset, it will also be consumed as a Dataset instead of a DataReference in subsequent steps.

Create an intermediate data that will be promoted to an Azure Machine Learning Dataset.

PipelineOutputTabularDataset

Represent intermediate pipeline data promoted to an Azure Machine Learning Tabular Dataset.

Once an intermediate data is promoted to an Azure Machine Learning Dataset, it will also be consumed as a Dataset instead of a DataReference in subsequent steps.

Create an intermediate data that will be promoted to an Azure Machine Learning Dataset.