PipelineDataset Class

Acts as an adapter for Dataset and Pipeline.

Note

This class is deprecated. Learn how to use dataset with pipeline, see https://aka.ms/pipeline-with-dataset.

This is an internal class. You should not create this class directly but rather call the as_* instance methods on the Dataset or the OutputDatasetConfig classes.

Act as an adapter for Dataset and Pipeline.

This is an internal class. You should not create this class directly but rather call the as_* instance methods on the Dataset or the OutputDatasetConfig classes.

Inheritance

builtins.object

PipelineDataset

Constructor

PipelineDataset(dataset=None, name=None, bind_mode='mount', path_on_compute=None, overwrite=False, parameter_name=None)

Parameters

Name	Description
dataset	Dataset The dataset that will be used as the input to the step. default value: None
name	str The name of the input in the pipeline. default value: None
bind_mode	str How the dataset should be made available, either mount or download. default value: mount
path_on_compute	str The path on the compute where the data will be made available. default value: None
overwrite	bool Whether to overwrite existing data or not. default value: False
parameter_name	str The parameter name of the dataset. This is used for published pipeline. default value: None
dataset Required	Union[<xref:azureml.core.Datase> or AbstractDataset, OutputDatasetConfig] The dataset that will be used as the input to the step.
name Required	str The name of the input in the pipeline.
bind_mode Required	str How the dataset should be made available, either mount or download.
path_on_compute Required	str The path on the compute where the data will be made available.
overwrite Required	bool Whether to overwrite existing data or not.

Methods

create	Create a PipelineDataset from an Azure Machine Learning Dataset. Note This method is deprecated. Learn how to use dataset with pipeline, see https://aka.ms/pipeline-with-dataset.
default_name	Get the default port name of a dataset/dataset definition. Note This method is deprecated. Learn how to use dataset with pipeline, see https://aka.ms/pipeline-with-dataset.
is_dataset	Determine whether the input is a dataset or a dataset definition. Note This method is deprecated. Learn how to use dataset with pipeline, see https://aka.ms/pipeline-with-dataset.
validate_dataset	Validate the state of the dataset. Note This method is deprecated. Learn how to use dataset with pipeline, see https://aka.ms/pipeline-with-dataset. It will log a warning if the dataset is deprecated and throws an error if the datasaet is archived.

create

Create a PipelineDataset from an Azure Machine Learning Dataset.

Note

This method is deprecated. Learn how to use dataset with pipeline, see

https://aka.ms/pipeline-with-dataset.

static create(dataset, name=None, parameter_name=None)

Parameters

Name	Description
dataset Required	Union[Dataset, DatasetConsumptionConfig, PipelineDataset] The dataset to create the PipelineDataset from.
name	str The name of the input dataset. If None, a name will be derived based on the type of the input. default value: None
parameter_name	str The pipeline parameter name. default value: None

Returns

Type	Description
PipelineDataset	The created PipelineDataset.

default_name

Get the default port name of a dataset/dataset definition.

Note

This method is deprecated. Learn how to use dataset with pipeline, see

https://aka.ms/pipeline-with-dataset.

static default_name(dataset)

Parameters

Name	Description
dataset Required	object The dataset to calculate the name from.

Returns

Type	Description
str	The name.

is_dataset

Determine whether the input is a dataset or a dataset definition.

Note

This method is deprecated. Learn how to use dataset with pipeline, see

https://aka.ms/pipeline-with-dataset.

static is_dataset(dset)

Parameters

Name	Description
dset Required	object The input.

Returns

Type	Description
bool	Whether input is a dataset or a dataset definition.

validate_dataset

Validate the state of the dataset.

Note

This method is deprecated. Learn how to use dataset with pipeline, see

https://aka.ms/pipeline-with-dataset.

It will log a warning if the dataset is deprecated and throws an error if the datasaet is archived.

static validate_dataset(dset)

Parameters

Name	Description
dset Required	Union[Dataset, DatasetConsumptionConfig] The dataset to be verified.

Attributes

bind_mode

Get how the dataset should be made available.

Returns

Type	Description
str	The bind mode.

dataset

Get the dataset this input is binded to.

Returns

Type	Description
Union[Dataset, AbstractDataset, OutputDatasetConfig]	The dataset.

dataset_id

Get the dataset ID.

Returns

Type	Description
str	The dataset ID.

dataset_version

Get the dataset definition's version.

Returns

Type	Description
str	The dataset version.

name

Get the name of the input.

Returns

Type	Description
str	The name.

overwrite

Get value indicating whether to overwrite existing data.

Returns

Type	Description
bool	Overwrite or not.

parameter_name

Get the pipeline parameter name of this pipeline dataset.

Returns

Type	Description
str	The parameter name.

path_on_compute

Get the path where the data will be made available on the compute.

Returns

Type	Description
str	The path on compute.

saved_dataset_id

Return the saved ID of the dataset in the PipelineDataset.

Returns

Type	Description
str	The saved ID of the dataset.

workspace

Get the workspace the dataset belongs to.

Returns

Type	Description
Workspace	The workspace.