CfnPipelineProps

class aws_cdk.aws_sagemaker.CfnPipelineProps(*, pipeline_definition, pipeline_name, role_arn, parallelism_configuration=None, pipeline_description=None, pipeline_display_name=None, tags=None)

Bases: object

Properties for defining a CfnPipeline.

Parameters:

pipeline_definition (Any) – The definition of the pipeline. This can be either a JSON string or an Amazon S3 location.
pipeline_name (str) – The name of the pipeline.
role_arn (str) – The Amazon Resource Name (ARN) of the IAM role used to execute the pipeline.
parallelism_configuration (Optional[Any]) – AWS::SageMaker::Pipeline.ParallelismConfiguration.
pipeline_description (Optional[str]) – The description of the pipeline.
pipeline_display_name (Optional[str]) – The display name of the pipeline.
tags (Optional[Sequence[Union[CfnTag, Dict[str, Any]]]]) – The tags of the pipeline.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-pipeline.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_sagemaker as sagemaker

# parallelism_configuration: Any
# pipeline_definition: Any

cfn_pipeline_props = sagemaker.CfnPipelineProps(
    pipeline_definition=pipeline_definition,
    pipeline_name="pipelineName",
    role_arn="roleArn",

    # the properties below are optional
    parallelism_configuration=parallelism_configuration,
    pipeline_description="pipelineDescription",
    pipeline_display_name="pipelineDisplayName",
    tags=[CfnTag(
        key="key",
        value="value"
    )]
)