CreateModelExplainabilityJobDefinition
Creates the definition for a model explainability job.
Request Syntax
{
   "JobDefinitionName": "string",
   "JobResources": { 
      "ClusterConfig": { 
         "InstanceCount": number,
         "InstanceType": "string",
         "VolumeKmsKeyId": "string",
         "VolumeSizeInGB": number
      }
   },
   "ModelExplainabilityAppSpecification": { 
      "ConfigUri": "string",
      "Environment": { 
         "string" : "string" 
      },
      "ImageUri": "string"
   },
   "ModelExplainabilityBaselineConfig": { 
      "BaseliningJobName": "string",
      "ConstraintsResource": { 
         "S3Uri": "string"
      }
   },
   "ModelExplainabilityJobInput": { 
      "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"
      }
   },
   "ModelExplainabilityJobOutputConfig": { 
      "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 model explainability job definition. The name must be unique within an AWS Region in the AWS account. 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 
- ModelExplainabilityAppSpecification
- 
               Configures the model explainability job to run a specified Docker container image. Type: ModelExplainabilityAppSpecification object Required: Yes 
- ModelExplainabilityBaselineConfig
- 
               The baseline configuration for a model explainability job. Type: ModelExplainabilityBaselineConfig object Required: No 
- ModelExplainabilityJobInput
- 
               Inputs for the model explainability job. Type: ModelExplainabilityJobInput object Required: Yes 
- ModelExplainabilityJobOutputConfig
- 
               The output configuration for monitoring jobs. Type: MonitoringOutputConfig object Required: Yes 
- NetworkConfig
- 
               Networking options for a model explainability 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 explainability job. Type: String Length Constraints: Minimum length of 0. 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: