Struct aws_sdk_sagemaker::model::MonitoringClusterConfig

#[non_exhaustive]
pub struct MonitoringClusterConfig {
    pub instance_count: Option<i32>,
    pub instance_type: Option<ProcessingInstanceType>,
    pub volume_size_in_gb: Option<i32>,
    pub volume_kms_key_id: Option<String>,
}

Configuration for the cluster used to run model monitoring jobs.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

instance_count: Option<i32>

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.

instance_type: Option<ProcessingInstanceType>

The ML compute instance type for the processing job.

volume_size_in_gb: Option<i32>

The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

volume_kms_key_id: Option<String>

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.

Implementations

impl MonitoringClusterConfig

pub fn instance_count(&self) -> Option<i32>

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.

pub fn instance_type(&self) -> Option<&ProcessingInstanceType>

The ML compute instance type for the processing job.

pub fn volume_size_in_gb(&self) -> Option<i32>

The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

pub fn volume_kms_key_id(&self) -> Option<&str>

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.

impl MonitoringClusterConfig

pub fn builder() -> Builder

Creates a new builder-style object to manufacture MonitoringClusterConfig

Trait Implementations

impl Clone for MonitoringClusterConfig

fn clone(&self) -> MonitoringClusterConfig

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MonitoringClusterConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<MonitoringClusterConfig> for MonitoringClusterConfig

fn eq(&self, other: &MonitoringClusterConfig) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &MonitoringClusterConfig) -> bool

This method tests for !=.

impl StructuralPartialEq for MonitoringClusterConfig