Struct MonitoringJobDefinition

#[non_exhaustive]
pub struct MonitoringJobDefinition {
    pub baseline_config: Option<MonitoringBaselineConfig>,
    pub monitoring_inputs: Option<Vec<MonitoringInput>>,
    pub monitoring_output_config: Option<MonitoringOutputConfig>,
    pub monitoring_resources: Option<MonitoringResources>,
    pub monitoring_app_specification: Option<MonitoringAppSpecification>,
    pub stopping_condition: Option<MonitoringStoppingCondition>,
    pub environment: Option<HashMap<String, String>>,
    pub network_config: Option<NetworkConfig>,
    pub role_arn: Option<String>,
}

Defines the monitoring job.

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.

baseline_config: Option<MonitoringBaselineConfig>

Baseline configuration used to validate that the data conforms to the specified constraints and statistics

monitoring_inputs: Option<Vec<MonitoringInput>>

The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.

monitoring_output_config: Option<MonitoringOutputConfig>

The array of outputs from the monitoring job to be uploaded to Amazon S3.

monitoring_resources: Option<MonitoringResources>

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.

monitoring_app_specification: Option<MonitoringAppSpecification>

Configures the monitoring job to run a specified Docker container image.

stopping_condition: Option<MonitoringStoppingCondition>

Specifies a time limit for how long the monitoring job is allowed to run.

environment: Option<HashMap<String, String>>

Sets the environment variables in the Docker container.

network_config: Option<NetworkConfig>

Specifies networking options for an monitoring job.

role_arn: Option<String>

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.

Implementations

impl MonitoringJobDefinition

pub fn baseline_config(&self) -> Option<&MonitoringBaselineConfig>

Baseline configuration used to validate that the data conforms to the specified constraints and statistics

pub fn monitoring_inputs(&self) -> &[MonitoringInput]

The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .monitoring_inputs.is_none().

pub fn monitoring_output_config(&self) -> Option<&MonitoringOutputConfig>

The array of outputs from the monitoring job to be uploaded to Amazon S3.

pub fn monitoring_resources(&self) -> Option<&MonitoringResources>

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.

pub fn monitoring_app_specification( &self, ) -> Option<&MonitoringAppSpecification>

Configures the monitoring job to run a specified Docker container image.

pub fn stopping_condition(&self) -> Option<&MonitoringStoppingCondition>

Specifies a time limit for how long the monitoring job is allowed to run.

pub fn environment(&self) -> Option<&HashMap<String, String>>

Sets the environment variables in the Docker container.

pub fn network_config(&self) -> Option<&NetworkConfig>

Specifies networking options for an monitoring job.

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

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.

impl MonitoringJobDefinition

pub fn builder() -> MonitoringJobDefinitionBuilder

Creates a new builder-style object to manufacture MonitoringJobDefinition.

Trait Implementations

impl Clone for MonitoringJobDefinition

fn clone(&self) -> MonitoringJobDefinition

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MonitoringJobDefinition

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

Formats the value using the given formatter.

impl PartialEq for MonitoringJobDefinition

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for MonitoringJobDefinition