DataQualityJobDefinitionJobResourcesClusterConfig constructor

const DataQualityJobDefinitionJobResourcesClusterConfig({
  1. required Input<int> instanceCount,
  2. required Input<String> instanceType,
  3. Input<String?>? volumeKmsKeyId,
  4. required Input<int> volumeSizeInGb,
})

Creates a new DataQualityJobDefinitionJobResourcesClusterConfig. instanceCount The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. instanceType The ML compute instance type for the processing job. volumeKmsKeyId KMS key that Amazon SageMaker AI uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job. volumeSizeInGb The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

Implementation

const DataQualityJobDefinitionJobResourcesClusterConfig({
  required this.instanceCount,
  required this.instanceType,
  this.volumeKmsKeyId,
  required this.volumeSizeInGb,
});