# Generated by default/object.tt package Paws::SageMaker::MonitoringJobDefinition; use Moose; has BaselineConfig => (is => 'ro', isa => 'Paws::SageMaker::MonitoringBaselineConfig'); has Environment => (is => 'ro', isa => 'Paws::SageMaker::MonitoringEnvironmentMap'); has MonitoringAppSpecification => (is => 'ro', isa => 'Paws::SageMaker::MonitoringAppSpecification', required => 1); has MonitoringInputs => (is => 'ro', isa => 'ArrayRef[Paws::SageMaker::MonitoringInput]', required => 1); has MonitoringOutputConfig => (is => 'ro', isa => 'Paws::SageMaker::MonitoringOutputConfig', required => 1); has MonitoringResources => (is => 'ro', isa => 'Paws::SageMaker::MonitoringResources', required => 1); has NetworkConfig => (is => 'ro', isa => 'Paws::SageMaker::NetworkConfig'); has RoleArn => (is => 'ro', isa => 'Str', required => 1); has StoppingCondition => (is => 'ro', isa => 'Paws::SageMaker::MonitoringStoppingCondition'); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::MonitoringJobDefinition =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::SageMaker::MonitoringJobDefinition object: $service_obj->Method(Att1 => { BaselineConfig => $value, ..., StoppingCondition => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::MonitoringJobDefinition object: $result = $service_obj->Method(...); $result->Att1->BaselineConfig =head1 DESCRIPTION Defines the monitoring job. =head1 ATTRIBUTES =head2 BaselineConfig => L Baseline configuration used to validate that the data conforms to the specified constraints and statistics =head2 Environment => L Sets the environment variables in the Docker container. =head2 B MonitoringAppSpecification => L Configures the monitoring job to run a specified Docker container image. =head2 B MonitoringInputs => ArrayRef[L] The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint. =head2 B MonitoringOutputConfig => L The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3). =head2 B MonitoringResources => L 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. =head2 NetworkConfig => L Specifies networking options for an monitoring job. =head2 B RoleArn => Str The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf. =head2 StoppingCondition => L Specifies a time limit for how long the monitoring job is allowed to run. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut