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NAMEPaws::SageMaker::CreateModelQualityJobDefinition - Arguments for method CreateModelQualityJobDefinition on Paws::SageMaker DESCRIPTIONThis class represents the parameters used for calling the method CreateModelQualityJobDefinition on the Amazon SageMaker Service service. Use the attributes of this class as arguments to method CreateModelQualityJobDefinition. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateModelQualityJobDefinition. SYNOPSISmy $api.sagemaker = Paws->service('SageMaker'); my $CreateModelQualityJobDefinitionResponse = $api . sagemaker->CreateModelQualityJobDefinition( JobDefinitionName => 'MyMonitoringJobDefinitionName', JobResources => { ClusterConfig => { InstanceCount => 1, # min: 1, max: 100 InstanceType => 'ml.t3.medium' , # values: ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.c4.xlarge, ml.c4.2xlarge, ml.c4.4xlarge, ml.c4.8xlarge, ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge VolumeSizeInGB => 1, # min: 1, max: 16384 VolumeKmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL }, }, ModelQualityAppSpecification => { ImageUri => 'MyImageUri', # max: 255 ContainerArguments => [ 'MyContainerArgument', ... # max: 256 ], # min: 1, max: 50; OPTIONAL ContainerEntrypoint => [ 'MyContainerEntrypointString', ... # max: 256 ], # min: 1, max: 100; OPTIONAL Environment => { 'MyProcessingEnvironmentKey' => 'MyProcessingEnvironmentValue', # key: max: 256, value: max: 256 }, # max: 50; OPTIONAL PostAnalyticsProcessorSourceUri => 'MyS3Uri', # max: 1024; OPTIONAL ProblemType => 'BinaryClassification' , # values: BinaryClassification, MulticlassClassification, Regression; OPTIONAL RecordPreprocessorSourceUri => 'MyS3Uri', # max: 1024; OPTIONAL }, ModelQualityJobInput => { EndpointInput => { EndpointName => 'MyEndpointName', # max: 63 LocalPath => 'MyProcessingLocalPath', # max: 256 EndTimeOffset => 'MyMonitoringTimeOffsetString', # min: 1, max: 15; OPTIONAL FeaturesAttribute => 'MyString', # OPTIONAL InferenceAttribute => 'MyString', # OPTIONAL ProbabilityAttribute => 'MyString', # OPTIONAL ProbabilityThresholdAttribute => 1, # OPTIONAL S3DataDistributionType => 'FullyReplicated' , # values: FullyReplicated, ShardedByS3Key; OPTIONAL S3InputMode => 'Pipe', # values: Pipe, File; OPTIONAL StartTimeOffset => 'MyMonitoringTimeOffsetString', # min: 1, max: 15; OPTIONAL }, GroundTruthS3Input => { S3Uri => 'MyMonitoringS3Uri', # max: 512; OPTIONAL }, }, ModelQualityJobOutputConfig => { MonitoringOutputs => [ { S3Output => { LocalPath => 'MyProcessingLocalPath', # max: 256 S3Uri => 'MyMonitoringS3Uri', # max: 512; OPTIONAL S3UploadMode => 'Continuous', # values: Continuous, EndOfJob; OPTIONAL }, }, ... ], # min: 1, max: 1 KmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL }, RoleArn => 'MyRoleArn', ModelQualityBaselineConfig => { BaseliningJobName => 'MyProcessingJobName', # min: 1, max: 63; OPTIONAL ConstraintsResource => { S3Uri => 'MyS3Uri', # max: 1024; OPTIONAL }, # OPTIONAL }, # OPTIONAL NetworkConfig => { EnableInterContainerTrafficEncryption => 1, # OPTIONAL EnableNetworkIsolation => 1, # OPTIONAL VpcConfig => { SecurityGroupIds => [ 'MySecurityGroupId', ... # max: 32 ], # min: 1, max: 5 Subnets => [ 'MySubnetId', ... # max: 32 ], # min: 1, max: 16 }, # OPTIONAL }, # OPTIONAL StoppingCondition => { MaxRuntimeInSeconds => 1, # min: 1, max: 86400 }, # OPTIONAL Tags => [ { Key => 'MyTagKey', # min: 1, max: 128 Value => 'MyTagValue', # max: 256 }, ... ], # OPTIONAL ); # Results: my $JobDefinitionArn = $CreateModelQualityJobDefinitionResponse->JobDefinitionArn; # Returns a L<Paws::SageMaker::CreateModelQualityJobDefinitionResponse> object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see <https://docs.aws.amazon.com/goto/WebAPI/api.sagemaker/CreateModelQualityJobDefinition> ATTRIBUTESREQUIRED JobDefinitionName => StrThe name of the monitoring job definition. REQUIRED JobResources => Paws::SageMaker::MonitoringResourcesREQUIRED ModelQualityAppSpecification => Paws::SageMaker::ModelQualityAppSpecificationThe container that runs the monitoring job. ModelQualityBaselineConfig => Paws::SageMaker::ModelQualityBaselineConfigSpecifies the constraints and baselines for the monitoring job. REQUIRED ModelQualityJobInput => Paws::SageMaker::ModelQualityJobInputA list of the inputs that are monitored. Currently endpoints are supported. REQUIRED ModelQualityJobOutputConfig => Paws::SageMaker::MonitoringOutputConfigNetworkConfig => Paws::SageMaker::MonitoringNetworkConfigSpecifies the network configuration for the monitoring job. REQUIRED RoleArn => StrThe Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf. StoppingCondition => Paws::SageMaker::MonitoringStoppingConditionTags => ArrayRef[Paws::SageMaker::Tag](Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL) in the Amazon Web Services Billing and Cost Management User Guide. SEE ALSOThis class forms part of Paws, documenting arguments for method CreateModelQualityJobDefinition in Paws::SageMaker BUGS and CONTRIBUTIONSThe source code is located here: <https://github.com/pplu/aws-sdk-perl> Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>
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