CfnLabelPropsMixin

class aws_cdk.mixins_preview.aws_frauddetector.mixins.CfnLabelPropsMixin(props, *, strategy=None)

Bases: Mixin

Creates or updates label.

A label classifies an event as fraudulent or legitimate. Labels are associated with event types and used to train supervised machine learning models in Amazon Fraud Detector.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-frauddetector-label.html

CloudformationResource:

AWS::FraudDetector::Label

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_frauddetector import mixins as frauddetector_mixins

cfn_label_props_mixin = frauddetector_mixins.CfnLabelPropsMixin(frauddetector_mixins.CfnLabelMixinProps(
    description="description",
    name="name",
    tags=[CfnTag(
        key="key",
        value="value"
    )]
),
    strategy=mixins.PropertyMergeStrategy.OVERRIDE
)

Create a mixin to apply properties to AWS::FraudDetector::Label.

Parameters:
  • props (Union[CfnLabelMixinProps, 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:

IConstruct

supports(construct)

Check if this mixin supports the given construct.

Parameters:

construct (IConstruct)

Return type:

bool

Attributes

CFN_PROPERTY_KEYS = ['description', 'name', 'tags']

Static Methods

classmethod is_mixin(x)

(experimental) Checks if x is a Mixin.

Parameters:

x (Any) – Any object.

Return type:

bool

Returns:

true if x is an object created from a class which extends Mixin.

Stability:

experimental