package Paws::Glue::CreateMLTransform; use Moose; has Description => (is => 'ro', isa => 'Str'); has GlueVersion => (is => 'ro', isa => 'Str'); has InputRecordTables => (is => 'ro', isa => 'ArrayRef[Paws::Glue::GlueTable]', required => 1); has MaxCapacity => (is => 'ro', isa => 'Num'); has MaxRetries => (is => 'ro', isa => 'Int'); has Name => (is => 'ro', isa => 'Str', required => 1); has NumberOfWorkers => (is => 'ro', isa => 'Int'); has Parameters => (is => 'ro', isa => 'Paws::Glue::TransformParameters', required => 1); has Role => (is => 'ro', isa => 'Str', required => 1); has Tags => (is => 'ro', isa => 'Paws::Glue::TagsMap'); has Timeout => (is => 'ro', isa => 'Int'); has TransformEncryption => (is => 'ro', isa => 'Paws::Glue::TransformEncryption'); has WorkerType => (is => 'ro', isa => 'Str'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateMLTransform'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Glue::CreateMLTransformResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Glue::CreateMLTransform - Arguments for method CreateMLTransform on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateMLTransform on the L service. Use the attributes of this class as arguments to method CreateMLTransform. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateMLTransform. =head1 SYNOPSIS my $glue = Paws->service('Glue'); my $CreateMLTransformResponse = $glue->CreateMLTransform( InputRecordTables => [ { DatabaseName => 'MyNameString', # min: 1, max: 255 TableName => 'MyNameString', # min: 1, max: 255 CatalogId => 'MyNameString', # min: 1, max: 255 ConnectionName => 'MyNameString', # min: 1, max: 255 }, ... ], Name => 'MyNameString', Parameters => { TransformType => 'FIND_MATCHES', # values: FIND_MATCHES FindMatchesParameters => { AccuracyCostTradeoff => 1, # max: 1; OPTIONAL EnforceProvidedLabels => 1, # OPTIONAL PrecisionRecallTradeoff => 1, # max: 1; OPTIONAL PrimaryKeyColumnName => 'MyColumnNameString', # min: 1, max: 1024; OPTIONAL }, # OPTIONAL }, Role => 'MyRoleString', Description => 'MyDescriptionString', # OPTIONAL GlueVersion => 'MyGlueVersionString', # OPTIONAL MaxCapacity => 1, # OPTIONAL MaxRetries => 1, # OPTIONAL NumberOfWorkers => 1, # OPTIONAL Tags => { 'MyTagKey' => 'MyTagValue', # key: min: 1, max: 128, value: max: 256 }, # OPTIONAL Timeout => 1, # OPTIONAL TransformEncryption => { MlUserDataEncryption => { MlUserDataEncryptionMode => 'DISABLED', # values: DISABLED, SSE-KMS KmsKeyId => 'MyNameString', # min: 1, max: 255 }, # OPTIONAL TaskRunSecurityConfigurationName => 'MyNameString', # min: 1, max: 255 }, # OPTIONAL WorkerType => 'Standard', # OPTIONAL ); # Results: my $TransformId = $CreateMLTransformResponse->TransformId; # 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 Description => Str A description of the machine learning transform that is being defined. The default is an empty string. =head2 GlueVersion => Str This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions (https://docs.aws.amazon.com/glue/latest/dg/release-notes.html#release-notes-versions) in the developer guide. =head2 B InputRecordTables => ArrayRef[L] A list of Glue table definitions used by the transform. =head2 MaxCapacity => Num The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page (https://aws.amazon.com/glue/pricing/). C is a mutually exclusive option with C and C. =over =item * If either C or C is set, then C cannot be set. =item * If C is set then neither C or C can be set. =item * If C is set, then C is required (and vice versa). =item * C and C must both be at least 1. =back When the C field is set to a value other than C, the C field is set automatically and becomes read-only. When the C field is set to a value other than C, the C field is set automatically and becomes read-only. =head2 MaxRetries => Int The maximum number of times to retry a task for this transform after a task run fails. =head2 B Name => Str The unique name that you give the transform when you create it. =head2 NumberOfWorkers => Int The number of workers of a defined C that are allocated when this task runs. If C is set, then C is required (and vice versa). =head2 B Parameters => L The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type. =head2 B Role => Str The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both Glue service role permissions to Glue resources, and Amazon S3 permissions required by the transform. =over =item * This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue (https://docs.aws.amazon.com/glue/latest/dg/attach-policy-iam-user.html). =item * This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform. =back =head2 Tags => L The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in Glue, see Amazon Web Services Tags in Glue (https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html) in the developer guide. =head2 Timeout => Int The timeout of the task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters C status. The default is 2,880 minutes (48 hours). =head2 TransformEncryption => L The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS. =head2 WorkerType => Str The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X. =over =item * For the C worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. =item * For the C worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker. =item * For the C worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker. =back C is a mutually exclusive option with C and C. =over =item * If either C or C is set, then C cannot be set. =item * If C is set then neither C or C can be set. =item * If C is set, then C is required (and vice versa). =item * C and C must both be at least 1. =back Valid values are: C<"Standard">, C<"G.1X">, C<"G.2X"> =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateMLTransform in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut