CfnConfiguredModelAlgorithmProps
- class aws_cdk.aws_cleanroomsml.CfnConfiguredModelAlgorithmProps(*, name, role_arn, description=None, inference_container_config=None, kms_key_arn=None, tags=None, training_container_config=None)
Bases:
objectProperties for defining a
CfnConfiguredModelAlgorithm.- Parameters:
name (
str)role_arn (
str)description (
Optional[str])inference_container_config (
Union[IResolvable,InferenceContainerConfigProperty,Dict[str,Any],None])kms_key_arn (
Optional[str])tags (
Optional[Sequence[Union[CfnTag,Dict[str,Any]]]]) – An arbitrary set of tags (key-value pairs) for this cleanrooms-ml configured model algorithm.training_container_config (
Union[IResolvable,ContainerConfigProperty,Dict[str,Any],None])
- See:
- ExampleMetadata:
fixture=_generated
Example:
from aws_cdk import CfnTag # The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_cleanroomsml as cleanroomsml cfn_configured_model_algorithm_props = cleanroomsml.CfnConfiguredModelAlgorithmProps( name="name", role_arn="roleArn", # the properties below are optional description="description", inference_container_config=cleanroomsml.CfnConfiguredModelAlgorithm.InferenceContainerConfigProperty( image_uri="imageUri" ), kms_key_arn="kmsKeyArn", tags=[CfnTag( key="key", value="value" )], training_container_config=cleanroomsml.CfnConfiguredModelAlgorithm.ContainerConfigProperty( image_uri="imageUri", # the properties below are optional arguments=["arguments"], entrypoint=["entrypoint"], metric_definitions=[cleanroomsml.CfnConfiguredModelAlgorithm.MetricDefinitionProperty( name="name", regex="regex" )] ) )
Attributes
- description
-
- Type:
see
- inference_container_config
-
- Type:
see
- kms_key_arn
-
- Type:
see
- name
-
- Type:
see
- role_arn
-
- Type:
see
- tags
An arbitrary set of tags (key-value pairs) for this cleanrooms-ml configured model algorithm.