PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` package Paws::SageMaker::CreateModelPackage; use Moose; has CertifyForMarketplace => (is => 'ro', isa => 'Bool'); has ClientToken => (is => 'ro', isa => 'Str'); has InferenceSpecification => (is => 'ro', isa => 'Paws::SageMaker::InferenceSpecification'); has MetadataProperties => (is => 'ro', isa => 'Paws::SageMaker::MetadataProperties'); has ModelApprovalStatus => (is => 'ro', isa => 'Str'); has ModelMetrics => (is => 'ro', isa => 'Paws::SageMaker::ModelMetrics'); has ModelPackageDescription => (is => 'ro', isa => 'Str'); has ModelPackageGroupName => (is => 'ro', isa => 'Str'); has ModelPackageName => (is => 'ro', isa => 'Str'); has SourceAlgorithmSpecification => (is => 'ro', isa => 'Paws::SageMaker::SourceAlgorithmSpecification'); has Tags => (is => 'ro', isa => 'ArrayRef[Paws::SageMaker::Tag]'); has ValidationSpecification => (is => 'ro', isa => 'Paws::SageMaker::ModelPackageValidationSpecification'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateModelPackage'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::SageMaker::CreateModelPackageOutput'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::CreateModelPackage - Arguments for method CreateModelPackage on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateModelPackage on the L service. Use the attributes of this class as arguments to method CreateModelPackage. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateModelPackage. =head1 SYNOPSIS my $api.sagemaker = Paws->service('SageMaker'); my $CreateModelPackageOutput = $api . sagemaker->CreateModelPackage( CertifyForMarketplace => 1, # OPTIONAL ClientToken => 'MyClientToken', # OPTIONAL InferenceSpecification => { Containers => [ { Image => 'MyContainerImage', # max: 255 ContainerHostname => 'MyContainerHostname', # max: 63; OPTIONAL Environment => { 'MyEnvironmentKey' => 'MyEnvironmentValue', # key: max: 1024, value: max: 1024 }, # max: 16; OPTIONAL ImageDigest => 'MyImageDigest', # max: 72; OPTIONAL ModelDataUrl => 'MyUrl', # max: 1024; OPTIONAL ProductId => 'MyProductId', # max: 256; OPTIONAL }, ... ], # min: 1, max: 5 SupportedContentTypes => [ 'MyContentType', ... # max: 256 ], SupportedResponseMIMETypes => [ 'MyResponseMIMEType', ... # max: 1024 ], SupportedRealtimeInferenceInstanceTypes => [ 'ml.t2.medium', ... # values: ml.t2.medium, ml.t2.large, ml.t2.xlarge, ml.t2.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5d.large, ml.m5d.xlarge, ml.m5d.2xlarge, ml.m5d.4xlarge, ml.m5d.12xlarge, ml.m5d.24xlarge, ml.c4.large, 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.large, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.c5d.large, ml.c5d.xlarge, ml.c5d.2xlarge, ml.c5d.4xlarge, ml.c5d.9xlarge, ml.c5d.18xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.12xlarge, ml.r5.24xlarge, ml.r5d.large, ml.r5d.xlarge, ml.r5d.2xlarge, ml.r5d.4xlarge, ml.r5d.12xlarge, ml.r5d.24xlarge, ml.inf1.xlarge, ml.inf1.2xlarge, ml.inf1.6xlarge, ml.inf1.24xlarge ], # OPTIONAL SupportedTransformInstanceTypes => [ 'ml.m4.xlarge', ... # values: 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.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge ], # min: 1; OPTIONAL }, # OPTIONAL MetadataProperties => { CommitId => 'MyMetadataPropertyValue', # max: 1024; OPTIONAL GeneratedBy => 'MyMetadataPropertyValue', # max: 1024; OPTIONAL ProjectId => 'MyMetadataPropertyValue', # max: 1024; OPTIONAL Repository => 'MyMetadataPropertyValue', # max: 1024; OPTIONAL }, # OPTIONAL ModelApprovalStatus => 'Approved', # OPTIONAL ModelMetrics => { Bias => { Report => { ContentType => 'MyContentType', # max: 256 S3Uri => 'MyS3Uri', # max: 1024 ContentDigest => 'MyContentDigest', # max: 72; OPTIONAL }, # OPTIONAL }, # OPTIONAL Explainability => { Report => { ContentType => 'MyContentType', # max: 256 S3Uri => 'MyS3Uri', # max: 1024 ContentDigest => 'MyContentDigest', # max: 72; OPTIONAL }, # OPTIONAL }, # OPTIONAL ModelDataQuality => { Constraints => { ContentType => 'MyContentType', # max: 256 S3Uri => 'MyS3Uri', # max: 1024 ContentDigest => 'MyContentDigest', # max: 72; OPTIONAL }, # OPTIONAL Statistics => { ContentType => 'MyContentType', # max: 256 S3Uri => 'MyS3Uri', # max: 1024 ContentDigest => 'MyContentDigest', # max: 72; OPTIONAL }, # OPTIONAL }, # OPTIONAL ModelQuality => { Constraints => { ContentType => 'MyContentType', # max: 256 S3Uri => 'MyS3Uri', # max: 1024 ContentDigest => 'MyContentDigest', # max: 72; OPTIONAL }, # OPTIONAL Statistics => { ContentType => 'MyContentType', # max: 256 S3Uri => 'MyS3Uri', # max: 1024 ContentDigest => 'MyContentDigest', # max: 72; OPTIONAL }, # OPTIONAL }, # OPTIONAL }, # OPTIONAL ModelPackageDescription => 'MyEntityDescription', # OPTIONAL ModelPackageGroupName => 'MyEntityName', # OPTIONAL ModelPackageName => 'MyEntityName', # OPTIONAL SourceAlgorithmSpecification => { SourceAlgorithms => [ { AlgorithmName => 'MyArnOrName', # min: 1, max: 170 ModelDataUrl => 'MyUrl', # max: 1024; OPTIONAL }, ... ], # min: 1, max: 1 }, # OPTIONAL Tags => [ { Key => 'MyTagKey', # min: 1, max: 128 Value => 'MyTagValue', # max: 256 }, ... ], # OPTIONAL ValidationSpecification => { ValidationProfiles => [ { ProfileName => 'MyEntityName', # min: 1, max: 63 TransformJobDefinition => { TransformInput => { DataSource => { S3DataSource => { S3DataType => 'ManifestFile' , # values: ManifestFile, S3Prefix, AugmentedManifestFile S3Uri => 'MyS3Uri', # max: 1024 }, }, CompressionType => 'None', # values: None, Gzip; OPTIONAL ContentType => 'MyContentType', # max: 256 SplitType => 'None', # values: None, Line, RecordIO, TFRecord; OPTIONAL }, TransformOutput => { S3OutputPath => 'MyS3Uri', # max: 1024 Accept => 'MyAccept', # max: 256; OPTIONAL AssembleWith => 'None', # values: None, Line; OPTIONAL KmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL }, TransformResources => { InstanceCount => 1, # min: 1 InstanceType => 'ml.m4.xlarge' , # values: 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.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge VolumeKmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL }, BatchStrategy => 'MultiRecord', # values: MultiRecord, SingleRecord; OPTIONAL Environment => { 'MyTransformEnvironmentKey' => 'MyTransformEnvironmentValue' , # key: max: 1024, value: max: 10240 }, # max: 16; OPTIONAL MaxConcurrentTransforms => 1, # OPTIONAL MaxPayloadInMB => 1, # OPTIONAL }, }, ... ], # min: 1, max: 1 ValidationRole => 'MyRoleArn', # min: 20, max: 2048 }, # OPTIONAL ); # Results: my $ModelPackageArn = $CreateModelPackageOutput->ModelPackageArn; # Returns a L 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 L =head1 ATTRIBUTES =head2 CertifyForMarketplace => Bool Whether to certify the model package for listing on Amazon Web Services Marketplace. This parameter is optional for unversioned models, and does not apply to versioned models. =head2 ClientToken => Str A unique token that guarantees that the call to this API is idempotent. =head2 InferenceSpecification => L Specifies details about inference jobs that can be run with models based on this model package, including the following: =over =item * The Amazon ECR paths of containers that contain the inference code and model artifacts. =item * The instance types that the model package supports for transform jobs and real-time endpoints used for inference. =item * The input and output content formats that the model package supports for inference. =back =head2 MetadataProperties => L =head2 ModelApprovalStatus => Str Whether the model is approved for deployment. This parameter is optional for versioned models, and does not apply to unversioned models. For versioned models, the value of this parameter must be set to C to deploy the model. Valid values are: C<"Approved">, C<"Rejected">, C<"PendingManualApproval"> =head2 ModelMetrics => L A structure that contains model metrics reports. =head2 ModelPackageDescription => Str A description of the model package. =head2 ModelPackageGroupName => Str The name of the model group that this model version belongs to. This parameter is required for versioned models, and does not apply to unversioned models. =head2 ModelPackageName => Str The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen). This parameter is required for unversioned models. It is not applicable to versioned models. =head2 SourceAlgorithmSpecification => L Details about the algorithm that was used to create the model package. =head2 Tags => ArrayRef[L] A list of key value pairs associated with the model. For more information, see Tagging Amazon Web Services resources (https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html) in the I. =head2 ValidationSpecification => L Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package. =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateModelPackage in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut