NAME

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

DESCRIPTION

This class represents the parameters used for calling the method CreateModel on the Amazon SageMaker Service service. Use the attributes of this class as arguments to method CreateModel.

You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateModel.

SYNOPSIS

my $api.sagemaker = Paws->service('SageMaker');
my $CreateModelOutput = $api . sagemaker->CreateModel(
  ExecutionRoleArn => 'MyRoleArn',
  ModelName        => 'MyModelName',
  Containers       => [
    {
      ContainerHostname => 'MyContainerHostname',    # max: 63; OPTIONAL
      Environment       => {
        'MyEnvironmentKey' =>
          'MyEnvironmentValue',    # key: max: 1024, value: max: 1024
      },    # max: 16; OPTIONAL
      Image       => 'MyContainerImage',    # max: 255; OPTIONAL
      ImageConfig => {
        RepositoryAccessMode => 'Platform',    # values: Platform, Vpc
        RepositoryAuthConfig => {
          RepositoryCredentialsProviderArn =>
            'MyRepositoryCredentialsProviderArn',    # min: 1, max: 2048

        },    # OPTIONAL
      },    # OPTIONAL
      Mode => 'SingleModel',    # values: SingleModel, MultiModel; OPTIONAL
      ModelDataUrl     => 'MyUrl',    # max: 1024; OPTIONAL
      ModelPackageName =>
        'MyVersionedArnOrName',       # min: 1, max: 176; OPTIONAL
      MultiModelConfig => {
        ModelCacheSetting =>
          'Enabled',                  # values: Enabled, Disabled; OPTIONAL
      },    # OPTIONAL
    },
    ...
  ],    # OPTIONAL
  EnableNetworkIsolation   => 1,    # OPTIONAL
  InferenceExecutionConfig => {
    Mode => 'Serial',               # values: Serial, Direct

  },    # OPTIONAL
  PrimaryContainer => {
    ContainerHostname => 'MyContainerHostname',    # max: 63; OPTIONAL
    Environment       => {
      'MyEnvironmentKey' =>
        'MyEnvironmentValue',    # key: max: 1024, value: max: 1024
    },    # max: 16; OPTIONAL
    Image       => 'MyContainerImage',    # max: 255; OPTIONAL
    ImageConfig => {
      RepositoryAccessMode => 'Platform',    # values: Platform, Vpc
      RepositoryAuthConfig => {
        RepositoryCredentialsProviderArn =>
          'MyRepositoryCredentialsProviderArn',    # min: 1, max: 2048

      },    # OPTIONAL
    },    # OPTIONAL
    Mode => 'SingleModel',    # values: SingleModel, MultiModel; OPTIONAL
    ModelDataUrl     => 'MyUrl',                # max: 1024; OPTIONAL
    ModelPackageName => 'MyVersionedArnOrName', # min: 1, max: 176; OPTIONAL
    MultiModelConfig => {
      ModelCacheSetting => 'Enabled',  # values: Enabled, Disabled; OPTIONAL
    },    # OPTIONAL
  },    # OPTIONAL
  Tags => [
    {
      Key   => 'MyTagKey',      # min: 1, max: 128
      Value => 'MyTagValue',    # max: 256

    },
    ...
  ],    # OPTIONAL
  VpcConfig => {
    SecurityGroupIds => [
      'MySecurityGroupId', ...    # max: 32
    ],    # min: 1, max: 5
    Subnets => [
      'MySubnetId', ...    # max: 32
    ],    # min: 1, max: 16

  },    # OPTIONAL
);

# Results:
my $ModelArn = $CreateModelOutput->ModelArn;

# Returns a L<Paws::SageMaker::CreateModelOutput> 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/CreateModel

ATTRIBUTES

Containers => ArrayRef[Paws::SageMaker::ContainerDefinition]

Specifies the containers in the inference pipeline.

EnableNetworkIsolation => Bool

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

REQUIRED ExecutionRoleArn => Str

The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html).

To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.

InferenceExecutionConfig => Paws::SageMaker::InferenceExecutionConfig

Specifies details of how containers in a multi-container endpoint are called.

REQUIRED ModelName => Str

The name of the new model.

PrimaryContainer => Paws::SageMaker::ContainerDefinition

The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.

Tags => ArrayRef[Paws::SageMaker::Tag]

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources (https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html).

VpcConfig => Paws::SageMaker::VpcConfig

A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/host-vpc.html) and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-vpc.html).

SEE ALSO

This class forms part of Paws, documenting arguments for method CreateModel 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

cpanm Paws

perl -MCPAN -e shell
install Paws