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MonitoringJobDefinition

import type { MonitoringJobDefinition } from "https://aws-api.deno.dev/v0.4/services/sagemaker.ts?docs=full";

Defines the monitoring job.

interface MonitoringJobDefinition {
BaselineConfig?: MonitoringBaselineConfig | null;
Environment?: {
[key: string]: string | null | undefined;
}
| null;
MonitoringAppSpecification: MonitoringAppSpecification;
MonitoringInputs: MonitoringInput[];
MonitoringOutputConfig: MonitoringOutputConfig;
MonitoringResources: MonitoringResources;
NetworkConfig?: NetworkConfig | null;
RoleArn: string;
StoppingCondition?: MonitoringStoppingCondition | null;
}

§Properties

§
BaselineConfig?: MonitoringBaselineConfig | null
[src]

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

§
Environment?: {
[key: string]: string | null | undefined;
}
| null
[src]

Sets the environment variables in the Docker container.

§
MonitoringAppSpecification: MonitoringAppSpecification
[src]

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

§
MonitoringInputs: MonitoringInput[]
[src]

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

§
MonitoringOutputConfig: MonitoringOutputConfig
[src]

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

§
MonitoringResources: MonitoringResources
[src]

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.

§
NetworkConfig?: NetworkConfig | null
[src]

Specifies networking options for an monitoring job.

§
RoleArn: string
[src]

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

§
StoppingCondition?: MonitoringStoppingCondition | null
[src]

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