Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.
Request Syntax
{
"JobDefinitionName": "string",
"JobResources": {
"ClusterConfig": {
"InstanceCount": number,
"InstanceType": "string",
"VolumeKmsKeyId": "string",
"VolumeSizeInGB": number
}
},
"ModelQualityAppSpecification": {
"ContainerArguments": [ "string" ],
"ContainerEntrypoint": [ "string" ],
"Environment": {
"string" : "string"
},
"ImageUri": "string",
"PostAnalyticsProcessorSourceUri": "string",
"ProblemType": "string",
"RecordPreprocessorSourceUri": "string"
},
"ModelQualityBaselineConfig": {
"BaseliningJobName": "string",
"ConstraintsResource": {
"S3Uri": "string"
}
},
"ModelQualityJobInput": {
"BatchTransformInput": {
"DataCapturedDestinationS3Uri": "string",
"DatasetFormat": {
"Csv": {
"Header": boolean
},
"Json": {
"Line": boolean
},
"Parquet": {
}
},
"EndTimeOffset": "string",
"ExcludeFeaturesAttribute": "string",
"FeaturesAttribute": "string",
"InferenceAttribute": "string",
"LocalPath": "string",
"ProbabilityAttribute": "string",
"ProbabilityThresholdAttribute": number,
"S3DataDistributionType": "string",
"S3InputMode": "string",
"StartTimeOffset": "string"
},
"EndpointInput": {
"EndpointName": "string",
"EndTimeOffset": "string",
"ExcludeFeaturesAttribute": "string",
"FeaturesAttribute": "string",
"InferenceAttribute": "string",
"LocalPath": "string",
"ProbabilityAttribute": "string",
"ProbabilityThresholdAttribute": number,
"S3DataDistributionType": "string",
"S3InputMode": "string",
"StartTimeOffset": "string"
},
"GroundTruthS3Input": {
"S3Uri": "string"
}
},
"ModelQualityJobOutputConfig": {
"KmsKeyId": "string",
"MonitoringOutputs": [
{
"S3Output": {
"LocalPath": "string",
"S3UploadMode": "string",
"S3Uri": "string"
}
}
]
},
"NetworkConfig": {
"EnableInterContainerTrafficEncryption": boolean,
"EnableNetworkIsolation": boolean,
"VpcConfig": {
"SecurityGroupIds": [ "string" ],
"Subnets": [ "string" ]
}
},
"RoleArn": "string",
"StoppingCondition": {
"MaxRuntimeInSeconds": number
},
"Tags": [
{
"Key": "string",
"Value": "string"
}
]
}Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- JobDefinitionName
-
The name of the monitoring job definition.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 63.
Pattern:
^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$Required: Yes
- JobResources
-
Identifies the resources to deploy for a monitoring job.
Type: MonitoringResources object
Required: Yes
- ModelQualityAppSpecification
-
The container that runs the monitoring job.
Type: ModelQualityAppSpecification object
Required: Yes
- ModelQualityBaselineConfig
-
Specifies the constraints and baselines for the monitoring job.
Type: ModelQualityBaselineConfig object
Required: No
- ModelQualityJobInput
-
A list of the inputs that are monitored. Currently endpoints are supported.
Type: ModelQualityJobInput object
Required: Yes
- ModelQualityJobOutputConfig
-
The output configuration for monitoring jobs.
Type: MonitoringOutputConfig object
Required: Yes
- NetworkConfig
-
Specifies the network configuration for the monitoring job.
Type: MonitoringNetworkConfig object
Required: No
- RoleArn
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$Required: Yes
- StoppingCondition
-
A time limit for how long the monitoring job is allowed to run before stopping.
Type: MonitoringStoppingCondition object
Required: No
- Tags
-
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
Type: Array of Tag objects
Array Members: Minimum number of 0 items. Maximum number of 50 items.
Required: No
Response Syntax
{
"JobDefinitionArn": "string"
}Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- JobDefinitionArn
-
The Amazon Resource Name (ARN) of the model quality monitoring job.
Type: String
Length Constraints: Maximum length of 256.
Pattern:
.*
Errors
For information about the errors that are common to all actions, see Common Errors.
- ResourceInUse
-
Resource being accessed is in use.
HTTP Status Code: 400
- ResourceLimitExceeded
-
You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
