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

Defines the monitoring job.

Fields

baseline_config: Option<MonitoringBaselineConfig>

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

environment: Option<HashMap<String, String>>

Sets the environment variables in the Docker container.

monitoring_app_specification: MonitoringAppSpecification

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

monitoring_inputs: Vec<MonitoringInput>

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

monitoring_output_config: MonitoringOutputConfig

The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).

monitoring_resources: 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.

network_config: Option<NetworkConfig>

Specifies networking options for an monitoring job.

role_arn: String

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

stopping_condition: Option<MonitoringStoppingCondition>

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

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