CfnStudioLifecycleConfigProps

class aws_cdk.aws_sagemaker.CfnStudioLifecycleConfigProps(*, studio_lifecycle_config_app_type, studio_lifecycle_config_content, studio_lifecycle_config_name, tags=None)

Bases: object

Properties for defining a CfnStudioLifecycleConfig.

Parameters:

studio_lifecycle_config_app_type (str) – The App type to which the Lifecycle Configuration is attached.
studio_lifecycle_config_content (str) – The content of your Amazon SageMaker Studio Lifecycle Configuration script. This content must be base64 encoded.
studio_lifecycle_config_name (str) – The name of the Amazon SageMaker AI Studio Lifecycle Configuration.
tags (Optional[Sequence[Union[CfnTag, Dict[str, Any]]]]) – Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.

See:

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

ExampleMetadata:

fixture=_generated

Example:

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

cfn_studio_lifecycle_config_props = sagemaker.CfnStudioLifecycleConfigProps(
    studio_lifecycle_config_app_type="studioLifecycleConfigAppType",
    studio_lifecycle_config_content="studioLifecycleConfigContent",
    studio_lifecycle_config_name="studioLifecycleConfigName",

    # the properties below are optional
    tags=[CfnTag(
        key="key",
        value="value"
    )]
)