class Aws::SageMaker::Types::MonitoringClusterConfig
Configuration for the cluster used to run model monitoring jobs.
@note When making an API call, you may pass MonitoringClusterConfig
data as a hash: { instance_count: 1, # required instance_type: "ml.t3.medium", # required, accepts ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.c4.xlarge, ml.c4.2xlarge, ml.c4.4xlarge, ml.c4.8xlarge, ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge volume_size_in_gb: 1, # required volume_kms_key_id: "KmsKeyId", }
@!attribute [rw] instance_count
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. @return [Integer]
@!attribute [rw] instance_type
The ML compute instance type for the processing job. @return [String]
@!attribute [rw] volume_size_in_gb
The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario. @return [Integer]
@!attribute [rw] volume_kms_key_id
The Amazon Web Services Key Management Service (Amazon Web Services 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. @return [String]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/MonitoringClusterConfig AWS API Documentation
Constants
- SENSITIVE