DataQualityJobDefinitionJobResourcesClusterConfig class

Constructors

DataQualityJobDefinitionJobResourcesClusterConfig({required Input<int> instanceCount, required Input<String> instanceType, Input<String?>? volumeKmsKeyId, 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.
const
DataQualityJobDefinitionJobResourcesClusterConfig.fromMap(Map<String, dynamic> map)
factory

Properties

hashCode → int
The hash code for this object.
no setterinherited
instanceCount → Input<int>
The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1.
final
instanceType → Input<String>
The ML compute instance type for the processing job.
final
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
volumeKmsKeyId → Input<String?>?
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.
final
volumeSizeInGb → Input<int>
The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toMap() → Map<String, dynamic>
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited