|
Unix VPS
Support
FAQ
Network
Miscellaneous
|
| Paws::SageMaker::CreateModelPackage(3) | User Contributed Perl Documentation | Paws::SageMaker::CreateModelPackage(3) |
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(
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<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 Amazon Web Services Marketplace.
This parameter is optional for unversioned models, and does not apply to versioned models.
ClientToken => Str
A unique token that guarantees that the call to this API is idempotent.
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.
MetadataProperties => Paws::SageMaker::MetadataProperties
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 "Approved" to deploy the model.
Valid values are: "Approved", "Rejected", "PendingManualApproval"
ModelMetrics => Paws::SageMaker::ModelMetrics
A structure that contains model metrics reports.
ModelPackageDescription => Str
A description of the model package.
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.
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.
SourceAlgorithmSpecification => Paws::SageMaker::SourceAlgorithmSpecification
Details about the algorithm that was used to create the model package.
Tags => ArrayRef[Paws::SageMaker::Tag]
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 Amazon Web Services General Reference Guide.
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>
| 2022-06-01 | perl v5.40.2 |
Visit the GSP FreeBSD Man Page Interface.
Output converted with ManDoc.