CfnStudioLifecycleConfigPropsMixin
- class aws_cdk.mixins_preview.aws_sagemaker.mixins.CfnStudioLifecycleConfigPropsMixin(props, *, strategy=None)
Bases:
MixinCreates a new Amazon SageMaker AI Studio Lifecycle Configuration.
- See:
- CloudformationResource:
AWS::SageMaker::StudioLifecycleConfig
- Mixin:
true
- 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 import mixins from aws_cdk.mixins_preview.aws_sagemaker import mixins as sagemaker_mixins cfn_studio_lifecycle_config_props_mixin = sagemaker_mixins.CfnStudioLifecycleConfigPropsMixin(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" )] ), strategy=mixins.PropertyMergeStrategy.OVERRIDE )
Create a mixin to apply properties to
AWS::SageMaker::StudioLifecycleConfig.- Parameters:
props (
Union[CfnStudioLifecycleConfigMixinProps,Dict[str,Any]]) – L1 properties to apply.strategy (
Optional[PropertyMergeStrategy]) – (experimental) Strategy for merging nested properties. Default: - PropertyMergeStrategy.MERGE
Methods
- apply_to(construct)
Apply the mixin properties to the construct.
- Parameters:
construct (
IConstruct)- Return type:
- supports(construct)
Check if this mixin supports the given construct.
- Parameters:
construct (
IConstruct)- Return type:
bool
Attributes
- CFN_PROPERTY_KEYS = ['studioLifecycleConfigAppType', 'studioLifecycleConfigContent', 'studioLifecycleConfigName', 'tags']
Static Methods
- classmethod is_mixin(x)
(experimental) Checks if
xis a Mixin.- Parameters:
x (
Any) – Any object.- Return type:
bool- Returns:
true if
xis an object created from a class which extendsMixin.- Stability:
experimental