CfnStudioLifecycleConfigMixinProps

class aws_cdk.mixins_preview.aws_sagemaker.mixins.CfnStudioLifecycleConfigMixinProps(*, studio_lifecycle_config_app_type=None, studio_lifecycle_config_content=None, studio_lifecycle_config_name=None, tags=None)

Bases: object

Properties for CfnStudioLifecycleConfigPropsMixin.

Parameters:

studio_lifecycle_config_app_type (Optional[str]) – The App type to which the Lifecycle Configuration is attached.
studio_lifecycle_config_content (Optional[str]) – The content of your Amazon SageMaker Studio Lifecycle Configuration script. This content must be base64 encoded.
studio_lifecycle_config_name (Optional[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.mixins_preview.aws_sagemaker import mixins as sagemaker_mixins

cfn_studio_lifecycle_config_mixin_props = sagemaker_mixins.CfnStudioLifecycleConfigMixinProps(
    studio_lifecycle_config_app_type="studioLifecycleConfigAppType",
    studio_lifecycle_config_content="studioLifecycleConfigContent",
    studio_lifecycle_config_name="studioLifecycleConfigName",
    tags=[CfnTag(
        key="key",
        value="value"
    )]
)