CfnModelExplainabilityJobDefinition L1 construct
Creates the definition for a model explainability job.
Example
ts
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_sagemaker as sagemaker } from 'aws-cdk-lib';
const cfnModelExplainabilityJobDefinition = new sagemaker.CfnModelExplainabilityJobDefinition(this, 'MyCfnModelExplainabilityJobDefinition', {
jobResources: {
clusterConfig: {
instanceCount: 123,
instanceType: 'instanceType',
volumeSizeInGb: 123,
// the properties below are optional
volumeKmsKeyId: 'volumeKmsKeyId',
},
},
modelExplainabilityAppSpecification: {
configUri: 'configUri',
imageUri: 'imageUri',
// the properties below are optional
environment: {
environmentKey: 'environment',
},
},
modelExplainabilityJobInput: {
batchTransformInput: {
dataCapturedDestinationS3Uri: 'dataCapturedDestinationS3Uri',
datasetFormat: {
csv: {
header: false,
},
json: {
line: false,
},
parquet: false,
},
localPath: 'localPath',
// the properties below are optional
featuresAttribute: 'featuresAttribute',
inferenceAttribute: 'inferenceAttribute',
probabilityAttribute: 'probabilityAttribute',
s3DataDistributionType: 's3DataDistributionType',
s3InputMode: 's3InputMode',
},
endpointInput: {
endpointName: 'endpointName',
localPath: 'localPath',
// the properties below are optional
featuresAttribute: 'featuresAttribute',
inferenceAttribute: 'inferenceAttribute',
probabilityAttribute: 'probabilityAttribute',
s3DataDistributionType: 's3DataDistributionType',
s3InputMode: 's3InputMode',
},
},
modelExplainabilityJobOutputConfig: {
monitoringOutputs: [{
s3Output: {
localPath: 'localPath',
s3Uri: 's3Uri',
// the properties below are optional
s3UploadMode: 's3UploadMode',
},
}],
// the properties below are optional
kmsKeyId: 'kmsKeyId',
},
roleArn: 'roleArn',
// the properties below are optional
endpointName: 'endpointName',
jobDefinitionName: 'jobDefinitionName',
modelExplainabilityBaselineConfig: {
baseliningJobName: 'baseliningJobName',
constraintsResource: {
s3Uri: 's3Uri',
},
},
networkConfig: {
enableInterContainerTrafficEncryption: false,
enableNetworkIsolation: false,
vpcConfig: {
securityGroupIds: ['securityGroupIds'],
subnets: ['subnets'],
},
},
stoppingCondition: {
maxRuntimeInSeconds: 123,
},
tags: [{
key: 'key',
value: 'value',
}],
});
python
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_sagemaker as sagemaker
cfn_model_explainability_job_definition = sagemaker.CfnModelExplainabilityJobDefinition(self, "MyCfnModelExplainabilityJobDefinition",
job_resources=sagemaker.CfnModelExplainabilityJobDefinition.MonitoringResourcesProperty(
cluster_config=sagemaker.CfnModelExplainabilityJobDefinition.ClusterConfigProperty(
instance_count=123,
instance_type="instanceType",
volume_size_in_gb=123,
# the properties below are optional
volume_kms_key_id="volumeKmsKeyId"
)
),
model_explainability_app_specification=sagemaker.CfnModelExplainabilityJobDefinition.ModelExplainabilityAppSpecificationProperty(
config_uri="configUri",
image_uri="imageUri",
# the properties below are optional
environment={
"environment_key": "environment"
}
),
model_explainability_job_input=sagemaker.CfnModelExplainabilityJobDefinition.ModelExplainabilityJobInputProperty(
batch_transform_input=sagemaker.CfnModelExplainabilityJobDefinition.BatchTransformInputProperty(
data_captured_destination_s3_uri="dataCapturedDestinationS3Uri",
dataset_format=sagemaker.CfnModelExplainabilityJobDefinition.DatasetFormatProperty(
csv=sagemaker.CfnModelExplainabilityJobDefinition.CsvProperty(
header=False
),
json=sagemaker.CfnModelExplainabilityJobDefinition.JsonProperty(
line=False
),
parquet=False
),
local_path="localPath",
# the properties below are optional
features_attribute="featuresAttribute",
inference_attribute="inferenceAttribute",
probability_attribute="probabilityAttribute",
s3_data_distribution_type="s3DataDistributionType",
s3_input_mode="s3InputMode"
),
endpoint_input=sagemaker.CfnModelExplainabilityJobDefinition.EndpointInputProperty(
endpoint_name="endpointName",
local_path="localPath",
# the properties below are optional
features_attribute="featuresAttribute",
inference_attribute="inferenceAttribute",
probability_attribute="probabilityAttribute",
s3_data_distribution_type="s3DataDistributionType",
s3_input_mode="s3InputMode"
)
),
model_explainability_job_output_config=sagemaker.CfnModelExplainabilityJobDefinition.MonitoringOutputConfigProperty(
monitoring_outputs=[sagemaker.CfnModelExplainabilityJobDefinition.MonitoringOutputProperty(
s3_output=sagemaker.CfnModelExplainabilityJobDefinition.S3OutputProperty(
local_path="localPath",
s3_uri="s3Uri",
# the properties below are optional
s3_upload_mode="s3UploadMode"
)
)],
# the properties below are optional
kms_key_id="kmsKeyId"
),
role_arn="roleArn",
# the properties below are optional
endpoint_name="endpointName",
job_definition_name="jobDefinitionName",
model_explainability_baseline_config=sagemaker.CfnModelExplainabilityJobDefinition.ModelExplainabilityBaselineConfigProperty(
baselining_job_name="baseliningJobName",
constraints_resource=sagemaker.CfnModelExplainabilityJobDefinition.ConstraintsResourceProperty(
s3_uri="s3Uri"
)
),
network_config=sagemaker.CfnModelExplainabilityJobDefinition.NetworkConfigProperty(
enable_inter_container_traffic_encryption=False,
enable_network_isolation=False,
vpc_config=sagemaker.CfnModelExplainabilityJobDefinition.VpcConfigProperty(
security_group_ids=["securityGroupIds"],
subnets=["subnets"]
)
),
stopping_condition=sagemaker.CfnModelExplainabilityJobDefinition.StoppingConditionProperty(
max_runtime_in_seconds=123
),
tags=[CfnTag(
key="key",
value="value"
)]
)
java
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import software.amazon.awscdk.services.sagemaker.*;
CfnModelExplainabilityJobDefinition cfnModelExplainabilityJobDefinition = CfnModelExplainabilityJobDefinition.Builder.create(this, "MyCfnModelExplainabilityJobDefinition")
.jobResources(MonitoringResourcesProperty.builder()
.clusterConfig(ClusterConfigProperty.builder()
.instanceCount(123)
.instanceType("instanceType")
.volumeSizeInGb(123)
// the properties below are optional
.volumeKmsKeyId("volumeKmsKeyId")
.build())
.build())
.modelExplainabilityAppSpecification(ModelExplainabilityAppSpecificationProperty.builder()
.configUri("configUri")
.imageUri("imageUri")
// the properties below are optional
.environment(Map.of(
"environmentKey", "environment"))
.build())
.modelExplainabilityJobInput(ModelExplainabilityJobInputProperty.builder()
.batchTransformInput(BatchTransformInputProperty.builder()
.dataCapturedDestinationS3Uri("dataCapturedDestinationS3Uri")
.datasetFormat(DatasetFormatProperty.builder()
.csv(CsvProperty.builder()
.header(false)
.build())
.json(JsonProperty.builder()
.line(false)
.build())
.parquet(false)
.build())
.localPath("localPath")
// the properties below are optional
.featuresAttribute("featuresAttribute")
.inferenceAttribute("inferenceAttribute")
.probabilityAttribute("probabilityAttribute")
.s3DataDistributionType("s3DataDistributionType")
.s3InputMode("s3InputMode")
.build())
.endpointInput(EndpointInputProperty.builder()
.endpointName("endpointName")
.localPath("localPath")
// the properties below are optional
.featuresAttribute("featuresAttribute")
.inferenceAttribute("inferenceAttribute")
.probabilityAttribute("probabilityAttribute")
.s3DataDistributionType("s3DataDistributionType")
.s3InputMode("s3InputMode")
.build())
.build())
.modelExplainabilityJobOutputConfig(MonitoringOutputConfigProperty.builder()
.monitoringOutputs(List.of(MonitoringOutputProperty.builder()
.s3Output(S3OutputProperty.builder()
.localPath("localPath")
.s3Uri("s3Uri")
// the properties below are optional
.s3UploadMode("s3UploadMode")
.build())
.build()))
// the properties below are optional
.kmsKeyId("kmsKeyId")
.build())
.roleArn("roleArn")
// the properties below are optional
.endpointName("endpointName")
.jobDefinitionName("jobDefinitionName")
.modelExplainabilityBaselineConfig(ModelExplainabilityBaselineConfigProperty.builder()
.baseliningJobName("baseliningJobName")
.constraintsResource(ConstraintsResourceProperty.builder()
.s3Uri("s3Uri")
.build())
.build())
.networkConfig(NetworkConfigProperty.builder()
.enableInterContainerTrafficEncryption(false)
.enableNetworkIsolation(false)
.vpcConfig(VpcConfigProperty.builder()
.securityGroupIds(List.of("securityGroupIds"))
.subnets(List.of("subnets"))
.build())
.build())
.stoppingCondition(StoppingConditionProperty.builder()
.maxRuntimeInSeconds(123)
.build())
.tags(List.of(CfnTag.builder()
.key("key")
.value("value")
.build()))
.build();
csharp
// Install: dotnet add package Amazon.CDK.Lib
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
using Amazon.CDK.AWS.Sagemaker;
var cfnModelExplainabilityJobDefinition = new CfnModelExplainabilityJobDefinition(this, "MyCfnModelExplainabilityJobDefinition", new CfnModelExplainabilityJobDefinitionProps {
JobResources = new MonitoringResourcesProperty {
ClusterConfig = new ClusterConfigProperty {
InstanceCount = 123,
InstanceType = "instanceType",
VolumeSizeInGb = 123,
// the properties below are optional
VolumeKmsKeyId = "volumeKmsKeyId"
}
},
ModelExplainabilityAppSpecification = new ModelExplainabilityAppSpecificationProperty {
ConfigUri = "configUri",
ImageUri = "imageUri",
// the properties below are optional
Environment = new Dictionary<string, string> {
{ "environmentKey", "environment" }
}
},
ModelExplainabilityJobInput = new ModelExplainabilityJobInputProperty {
BatchTransformInput = new BatchTransformInputProperty {
DataCapturedDestinationS3Uri = "dataCapturedDestinationS3Uri",
DatasetFormat = new DatasetFormatProperty {
Csv = new CsvProperty {
Header = false
},
Json = new JsonProperty {
Line = false
},
Parquet = false
},
LocalPath = "localPath",
// the properties below are optional
FeaturesAttribute = "featuresAttribute",
InferenceAttribute = "inferenceAttribute",
ProbabilityAttribute = "probabilityAttribute",
S3DataDistributionType = "s3DataDistributionType",
S3InputMode = "s3InputMode"
},
EndpointInput = new EndpointInputProperty {
EndpointName = "endpointName",
LocalPath = "localPath",
// the properties below are optional
FeaturesAttribute = "featuresAttribute",
InferenceAttribute = "inferenceAttribute",
ProbabilityAttribute = "probabilityAttribute",
S3DataDistributionType = "s3DataDistributionType",
S3InputMode = "s3InputMode"
}
},
ModelExplainabilityJobOutputConfig = new MonitoringOutputConfigProperty {
MonitoringOutputs = new [] { new MonitoringOutputProperty {
S3Output = new S3OutputProperty {
LocalPath = "localPath",
S3Uri = "s3Uri",
// the properties below are optional
S3UploadMode = "s3UploadMode"
}
} },
// the properties below are optional
KmsKeyId = "kmsKeyId"
},
RoleArn = "roleArn",
// the properties below are optional
EndpointName = "endpointName",
JobDefinitionName = "jobDefinitionName",
ModelExplainabilityBaselineConfig = new ModelExplainabilityBaselineConfigProperty {
BaseliningJobName = "baseliningJobName",
ConstraintsResource = new ConstraintsResourceProperty {
S3Uri = "s3Uri"
}
},
NetworkConfig = new NetworkConfigProperty {
EnableInterContainerTrafficEncryption = false,
EnableNetworkIsolation = false,
VpcConfig = new VpcConfigProperty {
SecurityGroupIds = new [] { "securityGroupIds" },
Subnets = new [] { "subnets" }
}
},
StoppingCondition = new StoppingConditionProperty {
MaxRuntimeInSeconds = 123
},
Tags = new [] { new CfnTag {
Key = "key",
Value = "value"
} }
});
go
// Install: go get github.com/aws/aws-cdk-go/awscdk/v2
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import "github.com/aws/aws-cdk-go/awscdk"
cfnModelExplainabilityJobDefinition := awscdk.Aws_sagemaker.NewCfnModelExplainabilityJobDefinition(this, jsii.String("MyCfnModelExplainabilityJobDefinition"), &CfnModelExplainabilityJobDefinitionProps{
JobResources: &MonitoringResourcesProperty{
ClusterConfig: &ClusterConfigProperty{
InstanceCount: jsii.Number(123),
InstanceType: jsii.String("instanceType"),
VolumeSizeInGb: jsii.Number(123),
// the properties below are optional
VolumeKmsKeyId: jsii.String("volumeKmsKeyId"),
},
},
ModelExplainabilityAppSpecification: &ModelExplainabilityAppSpecificationProperty{
ConfigUri: jsii.String("configUri"),
ImageUri: jsii.String("imageUri"),
// the properties below are optional
Environment: map[string]*string{
"environmentKey": jsii.String("environment"),
},
},
ModelExplainabilityJobInput: &ModelExplainabilityJobInputProperty{
BatchTransformInput: &BatchTransformInputProperty{
DataCapturedDestinationS3Uri: jsii.String("dataCapturedDestinationS3Uri"),
DatasetFormat: &DatasetFormatProperty{
Csv: &CsvProperty{
Header: jsii.Boolean(false),
},
Json: &JsonProperty{
Line: jsii.Boolean(false),
},
Parquet: jsii.Boolean(false),
},
LocalPath: jsii.String("localPath"),
// the properties below are optional
FeaturesAttribute: jsii.String("featuresAttribute"),
InferenceAttribute: jsii.String("inferenceAttribute"),
ProbabilityAttribute: jsii.String("probabilityAttribute"),
S3DataDistributionType: jsii.String("s3DataDistributionType"),
S3InputMode: jsii.String("s3InputMode"),
},
EndpointInput: &EndpointInputProperty{
EndpointName: jsii.String("endpointName"),
LocalPath: jsii.String("localPath"),
// the properties below are optional
FeaturesAttribute: jsii.String("featuresAttribute"),
InferenceAttribute: jsii.String("inferenceAttribute"),
ProbabilityAttribute: jsii.String("probabilityAttribute"),
S3DataDistributionType: jsii.String("s3DataDistributionType"),
S3InputMode: jsii.String("s3InputMode"),
},
},
ModelExplainabilityJobOutputConfig: &MonitoringOutputConfigProperty{
MonitoringOutputs: []interface{}{
&MonitoringOutputProperty{
S3Output: &S3OutputProperty{
LocalPath: jsii.String("localPath"),
S3Uri: jsii.String("s3Uri"),
// the properties below are optional
S3UploadMode: jsii.String("s3UploadMode"),
},
},
},
// the properties below are optional
KmsKeyId: jsii.String("kmsKeyId"),
},
RoleArn: jsii.String("roleArn"),
// the properties below are optional
EndpointName: jsii.String("endpointName"),
JobDefinitionName: jsii.String("jobDefinitionName"),
ModelExplainabilityBaselineConfig: &ModelExplainabilityBaselineConfigProperty{
BaseliningJobName: jsii.String("baseliningJobName"),
ConstraintsResource: &ConstraintsResourceProperty{
S3Uri: jsii.String("s3Uri"),
},
},
NetworkConfig: &NetworkConfigProperty{
EnableInterContainerTrafficEncryption: jsii.Boolean(false),
EnableNetworkIsolation: jsii.Boolean(false),
VpcConfig: &VpcConfigProperty{
SecurityGroupIds: []*string{
jsii.String("securityGroupIds"),
},
Subnets: []*string{
jsii.String("subnets"),
},
},
},
StoppingCondition: &StoppingConditionProperty{
MaxRuntimeInSeconds: jsii.Number(123),
},
Tags: []CfnTag{
&CfnTag{
Key: jsii.String("key"),
Value: jsii.String("value"),
},
},
})
Initializer
ts
new CfnModelExplainabilityJobDefinition(scope: Construct, id: string, props: CfnModelExplainabilityJobDefinitionProps)
python
CfnModelExplainabilityJobDefinition(scope: Construct, id: str, props: CfnModelExplainabilityJobDefinitionProps)
java
new CfnModelExplainabilityJobDefinition(Construct scope, String id, CfnModelExplainabilityJobDefinitionProps props)
csharp
new CfnModelExplainabilityJobDefinition(Construct scope, string id, CfnModelExplainabilityJobDefinitionProps props)
go
NewCfnModelExplainabilityJobDefinition(Scope Construct, Id *string, Props CfnModelExplainabilityJobDefinitionProps)
Construct Props
The name of the endpoint used to run the monitoring job.
jobDefinitionNamestringjob_definition_namestrjobDefinitionNameStringJobDefinitionNamestringJobDefinitionName*string#The name of the model explainability job definition.
The name must be unique within an AWS Region in the AWS account.
jobResourcesIResolvable | CfnModelExplainabilityJobDefinition.MonitoringResourcesPropertyjob_resourcestyping.Union[IResolvable, MonitoringResourcesProperty]jobResourcesIResolvableJobResourcesIResolvableJobResourcesinterface{}required#Identifies the resources to deploy for a monitoring job.
modelExplainabilityAppSpecificationIResolvable | CfnModelExplainabilityJobDefinition.ModelExplainabilityAppSpecificationPropertymodel_explainability_app_specificationtyping.Union[IResolvable, ModelExplainabilityAppSpecificationProperty]modelExplainabilityAppSpecificationIResolvableModelExplainabilityAppSpecificationIResolvableModelExplainabilityAppSpecificationinterface{}required#Configures the model explainability job to run a specified Docker container image.
modelExplainabilityBaselineConfigIResolvable | CfnModelExplainabilityJobDefinition.ModelExplainabilityBaselineConfigPropertymodel_explainability_baseline_configtyping.Union[IResolvable, ModelExplainabilityBaselineConfigProperty]modelExplainabilityBaselineConfigIResolvableModelExplainabilityBaselineConfigIResolvableModelExplainabilityBaselineConfiginterface{}#The baseline configuration for a model explainability job.
modelExplainabilityJobInputIResolvable | CfnModelExplainabilityJobDefinition.ModelExplainabilityJobInputPropertymodel_explainability_job_inputtyping.Union[IResolvable, ModelExplainabilityJobInputProperty]modelExplainabilityJobInputIResolvableModelExplainabilityJobInputIResolvableModelExplainabilityJobInputinterface{}required#Inputs for the model explainability job.
modelExplainabilityJobOutputConfigIResolvable | CfnModelExplainabilityJobDefinition.MonitoringOutputConfigPropertymodel_explainability_job_output_configtyping.Union[IResolvable, MonitoringOutputConfigProperty]modelExplainabilityJobOutputConfigIResolvableModelExplainabilityJobOutputConfigIResolvableModelExplainabilityJobOutputConfiginterface{}required#The output configuration for monitoring jobs.
networkConfigIResolvable | CfnModelExplainabilityJobDefinition.NetworkConfigPropertynetwork_configtyping.Union[IResolvable, NetworkConfigProperty]networkConfigIResolvableNetworkConfigIResolvableNetworkConfiginterface{}#Networking options for a model explainability job.
roleArnstring | IRoleRefrole_arntyping.Union[str, IRoleRef]roleArnStringRoleArnstringRoleArninterface{}required#The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
stoppingConditionIResolvable | CfnModelExplainabilityJobDefinition.StoppingConditionPropertystopping_conditiontyping.Union[IResolvable, StoppingConditionProperty]stoppingConditionIResolvableStoppingConditionIResolvableStoppingConditioninterface{}#A time limit for how long the monitoring job is allowed to run before stopping.
Properties
attrCreationTimestringattr_creation_timestrattrCreationTimeStringAttrCreationTimestringAttrCreationTime*stringrequired#The time when the job definition was created.
attrJobDefinitionArnstringattr_job_definition_arnstrattrJobDefinitionArnStringAttrJobDefinitionArnstringAttrJobDefinitionArn*stringrequired#The Amazon Resource Name (ARN) of the job definition.
CFN_RESOURCE_TYPE_NAMEstringcfn_resource_type_namestrCFN_RESOURCE_TYPE_NAMEStringCFN_RESOURCE_TYPE_NAMEstringCFN_RESOURCE_TYPE_NAME*stringrequiredstatic#The CloudFormation resource type name for this resource class.
cfnOptionsICfnResourceOptionscfn_optionsICfnResourceOptionscfnOptionsICfnResourceOptionsCfnOptionsICfnResourceOptionsCfnOptionsICfnResourceOptionsrequired#Options for this resource, such as condition, update policy etc.
cfnResourceTypestringcfn_resource_typestrcfnResourceTypeStringCfnResourceTypestringCfnResourceType*stringrequired#AWS resource type.
creationStackstring[]creation_stacktyping.List[str]creationStackList<String>CreationStackstring[]CreationStack*[]*stringrequired#The name of the endpoint used to run the monitoring job.
jobDefinitionNamestringjob_definition_namestrjobDefinitionNameStringJobDefinitionNamestringJobDefinitionName*string#The name of the model explainability job definition.
jobResourcesIResolvable | CfnModelExplainabilityJobDefinition.MonitoringResourcesPropertyjob_resourcestyping.Union[IResolvable, MonitoringResourcesProperty]jobResourcesIResolvableJobResourcesIResolvableJobResourcesinterface{}required#Identifies the resources to deploy for a monitoring job.
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use overrideLogicalId(newLogicalId).
modelExplainabilityAppSpecificationIResolvable | CfnModelExplainabilityJobDefinition.ModelExplainabilityAppSpecificationPropertymodel_explainability_app_specificationtyping.Union[IResolvable, ModelExplainabilityAppSpecificationProperty]modelExplainabilityAppSpecificationIResolvableModelExplainabilityAppSpecificationIResolvableModelExplainabilityAppSpecificationinterface{}required#Configures the model explainability job to run a specified Docker container image.
modelExplainabilityBaselineConfigIResolvable | CfnModelExplainabilityJobDefinition.ModelExplainabilityBaselineConfigPropertymodel_explainability_baseline_configtyping.Union[IResolvable, ModelExplainabilityBaselineConfigProperty]modelExplainabilityBaselineConfigIResolvableModelExplainabilityBaselineConfigIResolvableModelExplainabilityBaselineConfiginterface{}#The baseline configuration for a model explainability job.
modelExplainabilityJobDefinitionRefModelExplainabilityJobDefinitionReferencemodel_explainability_job_definition_refModelExplainabilityJobDefinitionReferencemodelExplainabilityJobDefinitionRefModelExplainabilityJobDefinitionReferenceModelExplainabilityJobDefinitionRefModelExplainabilityJobDefinitionReferenceModelExplainabilityJobDefinitionRefModelExplainabilityJobDefinitionReferencerequired#A reference to a ModelExplainabilityJobDefinition resource.
modelExplainabilityJobInputIResolvable | CfnModelExplainabilityJobDefinition.ModelExplainabilityJobInputPropertymodel_explainability_job_inputtyping.Union[IResolvable, ModelExplainabilityJobInputProperty]modelExplainabilityJobInputIResolvableModelExplainabilityJobInputIResolvableModelExplainabilityJobInputinterface{}required#Inputs for the model explainability job.
modelExplainabilityJobOutputConfigIResolvable | CfnModelExplainabilityJobDefinition.MonitoringOutputConfigPropertymodel_explainability_job_output_configtyping.Union[IResolvable, MonitoringOutputConfigProperty]modelExplainabilityJobOutputConfigIResolvableModelExplainabilityJobOutputConfigIResolvableModelExplainabilityJobOutputConfiginterface{}required#The output configuration for monitoring jobs.
networkConfigIResolvable | CfnModelExplainabilityJobDefinition.NetworkConfigPropertynetwork_configtyping.Union[IResolvable, NetworkConfigProperty]networkConfigIResolvableNetworkConfigIResolvableNetworkConfiginterface{}#Networking options for a model explainability job.
Return a string that will be resolved to a CloudFormation `{ Ref }` for this element.
If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through Lazy.any({ produce: resource.ref }).
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
stoppingConditionIResolvable | CfnModelExplainabilityJobDefinition.StoppingConditionPropertystopping_conditiontyping.Union[IResolvable, StoppingConditionProperty]stoppingConditionIResolvableStoppingConditionIResolvableStoppingConditioninterface{}#A time limit for how long the monitoring job is allowed to run before stopping.
Tag Manager which manages the tags for this resource.
Methods
addDeletionOverride(path: string): voiddef add_deletion_override(self, path: str) -> Nonepublic void addDeletionOverride(String path)public void AddDeletionOverride(string path)func AddDeletionOverride(Path *string)#Syntactic sugar for `addOverride(path, undefined)`.
1 parameter
Parameters
pathpathpathpathPath— The path of the value to delete.
addDependency(target: CfnResource): voiddef add_dependency(self, target: CfnResource) -> Nonepublic void addDependency(CfnResource target)public void AddDependency(CfnResource target)func AddDependency(Target CfnResource)deprecated#Use `addResourceDependency` instead.
This method has been renamed to addResourceDependency to more clearly set it apart from construct.node.addDependency. See the documentation of that function for more details.
addDependsOn(target: CfnResource): voiddef add_depends_on(self, target: CfnResource) -> Nonepublic void addDependsOn(CfnResource target)public void AddDependsOn(CfnResource target)func AddDependsOn(Target CfnResource)deprecated#Use `addResourceDependency` instead.
notes
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
This method has been renamed to addResourceDependency, which makes it more clear that this method operates at a different level from the construct-level construct.node.addDependency() mechanism.
addMetadata(key: string, value: any): voiddef add_metadata(self, key: str, value: Any) -> Nonepublic void addMetadata(String key, Object value)public void AddMetadata(string key, object value)func AddMetadata(Key *string, Value interface{})#Add a value to the CloudFormation Resource Metadata.
addOverride(path: string, value: any): voiddef add_override(self, path: str, value: Any) -> Nonepublic void addOverride(String path, Object value)public void AddOverride(string path, object value)func AddOverride(Path *string, Value interface{})#Adds an override to the synthesized CloudFormation resource.
notes · 2 parameters
To add a property override, either use addPropertyOverride or prefix path with "Properties." (i.e. Properties.TopicName).
If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal . in the property name, prefix with a \. In most programming languages you will need to write this as "\\." because the \ itself will need to be escaped.
For example,
typescript
cfnResource.addOverride('Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes', ['myattribute']);
cfnResource.addOverride('Properties.GlobalSecondaryIndexes.1.ProjectionType', 'INCLUDE');
would add the overrides
json
"Properties": {
"GlobalSecondaryIndexes": [
{
"Projection": {
"NonKeyAttributes": [ "myattribute" ]
...
}
...
},
{
"ProjectionType": "INCLUDE"
...
},
]
...
}
The value argument to addOverride will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.
Parameters
pathpathpathpathPath— - The path of the property, you can use dot notation to override values in complex types.valuevaluevaluevalueValue— - The value.
addPropertyDeletionOverride(propertyPath: string): voiddef add_property_deletion_override(self, property_path: str) -> Nonepublic void addPropertyDeletionOverride(String propertyPath)public void AddPropertyDeletionOverride(string propertyPath)func AddPropertyDeletionOverride(PropertyPath *string)#Adds an override that deletes the value of a property from the resource definition.
1 parameter
Parameters
propertyPathproperty_pathpropertyPathpropertyPathPropertyPath— The path to the property.
addPropertyOverride(propertyPath: string, value: any): voiddef add_property_override(self, property_path: str, value: Any) -> Nonepublic void addPropertyOverride(String propertyPath, Object value)public void AddPropertyOverride(string propertyPath, object value)func AddPropertyOverride(PropertyPath *string, Value interface{})#Adds an override to a resource property.
Syntactic sugar for addOverride("Properties.<...>", value).
2 parameters
Parameters
propertyPathproperty_pathpropertyPathpropertyPathPropertyPath— The path of the property.valuevaluevaluevalueValue— The value.
addResourceDependency(target: CfnResource, reason?: string): voiddef add_resource_dependency(self, target: CfnResource, reason: typing.Optional[str] = None) -> Nonepublic void addResourceDependency(CfnResource target, String reason)public void AddResourceDependency(CfnResource target, string? reason = null)func AddResourceDependency(Target CfnResource, Reason *string)#Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
notes
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
This method only adds dependencies between L1 resources. If you are looking for a generic construct-to-construct dependency mechanism that works for all constructs including L2s, use construct.node.addDependency instead.
applyCrossStackReferenceStrength(strength: ReferenceStrength): voiddef apply_cross_stack_reference_strength(self, strength: ReferenceStrength) -> Nonepublic void applyCrossStackReferenceStrength(ReferenceStrength strength)public void ApplyCrossStackReferenceStrength(ReferenceStrength strength)func ApplyCrossStackReferenceStrength(Strength ReferenceStrength)#Sets the cross-stack reference strength for this resource.
When set, any cross-stack reference to this resource will use the specified strength instead of the global default from the consuming stack's context.
1 parameter
Parameters
strengthstrengthstrengthstrengthStrength— - The reference strength to use for this resource.
applyRemovalPolicy(policy?: RemovalPolicy, options?: RemovalPolicyOptions): voiddef apply_removal_policy(self, policy: typing.Optional[RemovalPolicy] = None, options: typing.Optional[RemovalPolicyOptions] = None) -> Nonepublic void applyRemovalPolicy(RemovalPolicy policy, RemovalPolicyOptions options)public void ApplyRemovalPolicy(RemovalPolicy? policy = null, RemovalPolicyOptions? options = null)func ApplyRemovalPolicy(Policy RemovalPolicy, Options RemovalPolicyOptions)#Sets the deletion policy of the resource based on the removal policy specified.
notes
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you've removed it from the CDK application or because you've made a change that requires the resource to be replaced.
The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT). A list of resources that support this policy can be found in the following link:
cfnPropertyName(cdkPropertyName: string): stringdef cfn_property_name(self, cdk_property_name: str) -> strpublic String cfnPropertyName(String cdkPropertyName)public string CfnPropertyName(string cdkPropertyName)func CfnPropertyName(CdkPropertyName *string) *string#getAtt(attributeName: string, typeHint?: ResolutionTypeHint): Referencedef get_att(self, attribute_name: str, type_hint: typing.Optional[ResolutionTypeHint] = None) -> Referencepublic Reference getAtt(String attributeName, ResolutionTypeHint typeHint)public Reference GetAtt(string attributeName, ResolutionTypeHint? typeHint = null)func GetAtt(AttributeName *string, TypeHint ResolutionTypeHint) Reference#Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g. resource.arn), but this can be used for future compatibility in case there is no generated attribute.
1 parameter
Parameters
attributeNameattribute_nameattributeNameattributeNameAttributeName— The name of the attribute.
getMetadata(key: string): anydef get_metadata(self, key: str) -> Anypublic Object getMetadata(String key)public object GetMetadata(string key)func GetMetadata(Key *string) interface{}#Retrieve a value value from the CloudFormation Resource Metadata.
inspect(inspector: TreeInspector): voiddef inspect(self, inspector: TreeInspector) -> Nonepublic void inspect(TreeInspector inspector)public void Inspect(TreeInspector inspector)func Inspect(Inspector TreeInspector)#Examines the CloudFormation resource and discloses attributes.
1 parameter
Parameters
inspectorinspectorinspectorinspectorInspector— tree inspector to collect and process attributes.
isCfnElement(x: any): boolean@staticmethod def is_cfn_element(x: Any) -> boolpublic static Boolean isCfnElement(Object x)public static bool IsCfnElement(object x)func IsCfnElement(X interface{}) *boolstatic#Returns `true` if a construct is a stack element (i.e. part of the synthesized cloudformation template).
Uses duck-typing instead of instanceof to allow stack elements from different versions of this library to be included in the same stack.
returns
Returns: The construct as a stack element or undefined if it is not a stack element.
isCfnModelExplainabilityJobDefinition(x: any): boolean@staticmethod def is_cfn_model_explainability_job_definition(x: Any) -> boolpublic static Boolean isCfnModelExplainabilityJobDefinition(Object x)public static bool IsCfnModelExplainabilityJobDefinition(object x)func IsCfnModelExplainabilityJobDefinition(X interface{}) *boolstatic#Checks whether the given object is a CfnModelExplainabilityJobDefinition.
isCfnResource(x: any): boolean@staticmethod def is_cfn_resource(x: Any) -> boolpublic static Boolean isCfnResource(Object x)public static bool IsCfnResource(object x)func IsCfnResource(X interface{}) *boolstatic#Check whether the given object is a CfnResource.
isConstruct(x: any): boolean@staticmethod def is_construct(x: Any) -> boolpublic static Boolean isConstruct(Object x)public static bool IsConstruct(object x)func IsConstruct(X interface{}) *boolstatic#Checks if `x` is a construct.
notes · 1 parameter · returns
Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.
Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.
Parameters
xxxxX— Any object.
Returns: true if x is an object created from a class which extends Construct.
obtainDependencies(): Stack | CfnResource[]def obtain_dependencies(self, ) -> typing.List[typing.Union[Stack, CfnResource]]public List<Stack> obtainDependencies()public Stack[] ObtainDependencies()func ObtainDependencies() *[]interface{}#Retrieves an array of resources and stacks this resource depends on.
For resources depended on directly, returns the CfnResource object. For dependencies on other stacks, returns the Stack object. The order of the array is not guaranteed.
overrideLogicalId(newLogicalId: string): voiddef override_logical_id(self, new_logical_id: str) -> Nonepublic void overrideLogicalId(String newLogicalId)public void OverrideLogicalId(string newLogicalId)func OverrideLogicalId(NewLogicalId *string)#Overrides the auto-generated logical ID with a specific ID.
1 parameter
Parameters
newLogicalIdnew_logical_idnewLogicalIdnewLogicalIdNewLogicalId— The new logical ID to use for this stack element.
removeDependency(target: CfnResource): voiddef remove_dependency(self, target: CfnResource) -> Nonepublic void removeDependency(CfnResource target)public void RemoveDependency(CfnResource target)func RemoveDependency(Target CfnResource)deprecated#Use `removeResourceDependency` instead
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
removeResourceDependency(target: CfnResource): voiddef remove_resource_dependency(self, target: CfnResource) -> Nonepublic void removeResourceDependency(CfnResource target)public void RemoveResourceDependency(CfnResource target)func RemoveResourceDependency(Target CfnResource)#Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
replaceDependency(target: CfnResource, newTarget: CfnResource): voiddef replace_dependency(self, target: CfnResource, new_target: CfnResource) -> Nonepublic void replaceDependency(CfnResource target, CfnResource newTarget)public void ReplaceDependency(CfnResource target, CfnResource newTarget)func ReplaceDependency(Target CfnResource, NewTarget CfnResource)#Replaces one dependency with another.
2 parameters
Parameters
targettargettargettargetTarget— The dependency to replace.newTargetnew_targetnewTargetnewTargetNewTarget— The new dependency to add.
toString(): stringdef to_string(self, ) -> strpublic String toString()public string ToString()func ToString() *string#Returns a string representation of this construct.
returns
Returns: a string representation of this resource
with(...mixins: IMixin[]): IConstructdef with(self, mixins: IMixin) -> IConstructpublic IConstruct with(IMixin mixins)public IConstruct With(IMixin mixins)func With(Mixins IMixin) IConstruct#Applies one or more mixins to this construct.
Mixins are applied in order. The list of constructs is captured at the start of the call, so constructs added by a mixin will not be visited. Use multiple with() calls if subsequent mixins should apply to added constructs.