Interface CfnModelBiasJobDefinitionMixinProps
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
CfnModelBiasJobDefinitionMixinProps.Jsii$Proxy
Example:
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import software.amazon.awscdk.mixins.preview.services.sagemaker.mixins.*;
CfnModelBiasJobDefinitionMixinProps cfnModelBiasJobDefinitionMixinProps = CfnModelBiasJobDefinitionMixinProps.builder()
.endpointName("endpointName")
.jobDefinitionName("jobDefinitionName")
.jobResources(MonitoringResourcesProperty.builder()
.clusterConfig(ClusterConfigProperty.builder()
.instanceCount(123)
.instanceType("instanceType")
.volumeKmsKeyId("volumeKmsKeyId")
.volumeSizeInGb(123)
.build())
.build())
.modelBiasAppSpecification(ModelBiasAppSpecificationProperty.builder()
.configUri("configUri")
.environment(Map.of(
"environmentKey", "environment"))
.imageUri("imageUri")
.build())
.modelBiasBaselineConfig(ModelBiasBaselineConfigProperty.builder()
.baseliningJobName("baseliningJobName")
.constraintsResource(ConstraintsResourceProperty.builder()
.s3Uri("s3Uri")
.build())
.build())
.modelBiasJobInput(ModelBiasJobInputProperty.builder()
.batchTransformInput(BatchTransformInputProperty.builder()
.dataCapturedDestinationS3Uri("dataCapturedDestinationS3Uri")
.datasetFormat(DatasetFormatProperty.builder()
.csv(CsvProperty.builder()
.header(false)
.build())
.json(JsonProperty.builder()
.line(false)
.build())
.parquet(false)
.build())
.endTimeOffset("endTimeOffset")
.featuresAttribute("featuresAttribute")
.inferenceAttribute("inferenceAttribute")
.localPath("localPath")
.probabilityAttribute("probabilityAttribute")
.probabilityThresholdAttribute(123)
.s3DataDistributionType("s3DataDistributionType")
.s3InputMode("s3InputMode")
.startTimeOffset("startTimeOffset")
.build())
.endpointInput(EndpointInputProperty.builder()
.endpointName("endpointName")
.endTimeOffset("endTimeOffset")
.featuresAttribute("featuresAttribute")
.inferenceAttribute("inferenceAttribute")
.localPath("localPath")
.probabilityAttribute("probabilityAttribute")
.probabilityThresholdAttribute(123)
.s3DataDistributionType("s3DataDistributionType")
.s3InputMode("s3InputMode")
.startTimeOffset("startTimeOffset")
.build())
.groundTruthS3Input(MonitoringGroundTruthS3InputProperty.builder()
.s3Uri("s3Uri")
.build())
.build())
.modelBiasJobOutputConfig(MonitoringOutputConfigProperty.builder()
.kmsKeyId("kmsKeyId")
.monitoringOutputs(List.of(MonitoringOutputProperty.builder()
.s3Output(S3OutputProperty.builder()
.localPath("localPath")
.s3UploadMode("s3UploadMode")
.s3Uri("s3Uri")
.build())
.build()))
.build())
.networkConfig(NetworkConfigProperty.builder()
.enableInterContainerTrafficEncryption(false)
.enableNetworkIsolation(false)
.vpcConfig(VpcConfigProperty.builder()
.securityGroupIds(List.of("securityGroupIds"))
.subnets(List.of("subnets"))
.build())
.build())
.roleArn("roleArn")
.stoppingCondition(StoppingConditionProperty.builder()
.maxRuntimeInSeconds(123)
.build())
.tags(List.of(CfnTag.builder()
.key("key")
.value("value")
.build()))
.build();
- See Also:
-
Nested Class Summary
Nested ClassesModifier and TypeInterfaceDescriptionstatic final classA builder forCfnModelBiasJobDefinitionMixinPropsstatic final classAn implementation forCfnModelBiasJobDefinitionMixinProps -
Method Summary
Modifier and TypeMethodDescriptionbuilder()default StringThe name of the endpoint used to run the monitoring job.default StringThe name of the bias job definition.default ObjectIdentifies the resources to deploy for a monitoring job.default ObjectConfigures the model bias job to run a specified Docker container image.default ObjectThe baseline configuration for a model bias job.default ObjectInputs for the model bias job.default ObjectThe output configuration for monitoring jobs.default ObjectNetworking options for a model bias job.default StringThe Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.default ObjectA time limit for how long the monitoring job is allowed to run before stopping.getTags()An array of key-value pairs to apply to this resource.Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
-
Method Details
-
getEndpointName
The name of the endpoint used to run the monitoring job.- See Also:
-
getJobDefinitionName
The name of the bias job definition.The name must be unique within an AWS Region in the AWS account.
- See Also:
-
getJobResources
Identifies the resources to deploy for a monitoring job.Returns union: either
IResolvableorCfnModelBiasJobDefinitionPropsMixin.MonitoringResourcesProperty- See Also:
-
getModelBiasAppSpecification
Configures the model bias job to run a specified Docker container image.Returns union: either
IResolvableorCfnModelBiasJobDefinitionPropsMixin.ModelBiasAppSpecificationProperty- See Also:
-
getModelBiasBaselineConfig
The baseline configuration for a model bias job.Returns union: either
IResolvableorCfnModelBiasJobDefinitionPropsMixin.ModelBiasBaselineConfigProperty- See Also:
-
getModelBiasJobInput
Inputs for the model bias job.Returns union: either
IResolvableorCfnModelBiasJobDefinitionPropsMixin.ModelBiasJobInputProperty- See Also:
-
getModelBiasJobOutputConfig
The output configuration for monitoring jobs.Returns union: either
IResolvableorCfnModelBiasJobDefinitionPropsMixin.MonitoringOutputConfigProperty- See Also:
-
getNetworkConfig
Networking options for a model bias job.Returns union: either
IResolvableorCfnModelBiasJobDefinitionPropsMixin.NetworkConfigProperty- See Also:
-
getRoleArn
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.- See Also:
-
getStoppingCondition
A time limit for how long the monitoring job is allowed to run before stopping.Returns union: either
IResolvableorCfnModelBiasJobDefinitionPropsMixin.StoppingConditionProperty- See Also:
-
getTags
An array of key-value pairs to apply to this resource.For more information, see Tag .
- See Also:
-
builder
-