Configuration for the cluster used to run model monitoring jobs.
Syntax
To declare this entity in your AWS 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:
1Maximum:
100Update requires: No interruption
InstanceType-
The ML compute instance type for the processing job.
Required: Yes
Type: String
Update requires: No interruption
VolumeKmsKeyId-
The AWS Key Management Service (AWS 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:
1Maximum:
2048Update requires: No interruption
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:
1Maximum:
16384Update requires: No interruption
