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Paws-0.43
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/ Paws::SageMaker::CreateModelPackage

NAME

Paws::SageMaker::CreateModelPackage - Arguments for method CreateModelPackage on Paws::SageMaker

DESCRIPTION

This class represents the parameters used for calling the method CreateModelPackage on the Amazon SageMaker Service 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.

SYNOPSIS

my $api.sagemaker = Paws->service('SageMaker');
my $CreateModelPackageOutput = $api . sagemaker->CreateModelPackage(
  ModelPackageName       => 'MyEntityName',
  CertifyForMarketplace  => 1,                # OPTIONAL
  InferenceSpecification => {
    Containers => [
      {
        Image             => 'MyImage',                # max: 255
        ContainerHostname => 'MyContainerHostname',    # max: 63; OPTIONAL
        ImageDigest       => 'MyImageDigest',          # max: 72; OPTIONAL
        ModelDataUrl      => 'MyUrl',                  # max: 1024; OPTIONAL
        ProductId         => 'MyProductId',            # max: 256; OPTIONAL
      },
      ...
    ],    # min: 1, max: 1
    SupportedContentTypes => [
      'MyContentType', ...    # max: 256
    ],
    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
    ],
    SupportedResponseMIMETypes => [
      'MyResponseMIMEType', ...    # max: 1024
    ],
    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
    ],    # min: 1

  },    # OPTIONAL
  ModelPackageDescription      => 'MyEntityDescription',    # OPTIONAL
  SourceAlgorithmSpecification => {
    SourceAlgorithms => [
      {
        AlgorithmName => 'MyArnOrName',    # min: 1, max: 170
        ModelDataUrl  => 'MyUrl',          # max: 1024; OPTIONAL
      },
      ...
    ],    # min: 1, max: 1

  },    # 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
            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<Paws::SageMaker::CreateModelPackageOutput> 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/CreateModelPackage

ATTRIBUTES

CertifyForMarketplace => Bool

Whether to certify the model package for listing on AWS Marketplace.

InferenceSpecification => Paws::SageMaker::InferenceSpecification

Specifies details about inference jobs that can be run with models based on this model package, including the following:

  • The Amazon ECR paths of containers that contain the inference code and model artifacts.

  • The instance types that the model package supports for transform jobs and real-time endpoints used for inference.

  • The input and output content formats that the model package supports for inference.

ModelPackageDescription => Str

A description of the model package.

REQUIRED 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).

SourceAlgorithmSpecification => Paws::SageMaker::SourceAlgorithmSpecification

Details about the algorithm that was used to create the model package.

ValidationSpecification => Paws::SageMaker::ModelPackageValidationSpecification

Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.

SEE ALSO

This class forms part of Paws, documenting arguments for method CreateModelPackage in Paws::SageMaker

BUGS and CONTRIBUTIONS

The source code is located here: https://github.com/pplu/aws-sdk-perl

Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues