AWS::SageMaker::ModelQualityJobDefinition ClusterConfig
The configuration for the cluster of resources used to run the processing job.
Syntax
To declare this entity in your Amazon CloudFormation template, use the following syntax:
JSON
{ "InstanceCount" :
Integer
, "InstanceType" :String
, "VolumeKmsKeyId" :String
, "VolumeSizeInGB" :Integer
}
YAML
InstanceCount:
Integer
InstanceType:String
VolumeKmsKeyId:String
VolumeSizeInGB:Integer
Properties
InstanceCount
-
The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
Required: Yes
Type: Integer
Minimum:
1
Maximum:
100
Update requires: Replacement
InstanceType
-
The ML compute instance type for the processing job.
Required: Yes
Type: String
Update requires: Replacement
VolumeKmsKeyId
-
The Amazon Key Management Service (Amazon KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
Required: No
Type: String
Minimum:
1
Maximum:
2048
Update requires: Replacement
VolumeSizeInGB
-
The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
Required: Yes
Type: Integer
Minimum:
1
Maximum:
16384
Update requires: Replacement