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::CreateProcessingJob; use Moose; has AppSpecification => (is => 'ro', isa => 'Paws::SageMaker::AppSpecification', required => 1); has Environment => (is => 'ro', isa => 'Paws::SageMaker::ProcessingEnvironmentMap'); has ExperimentConfig => (is => 'ro', isa => 'Paws::SageMaker::ExperimentConfig'); has NetworkConfig => (is => 'ro', isa => 'Paws::SageMaker::NetworkConfig'); has ProcessingInputs => (is => 'ro', isa => 'ArrayRef[Paws::SageMaker::ProcessingInput]'); has ProcessingJobName => (is => 'ro', isa => 'Str', required => 1); has ProcessingOutputConfig => (is => 'ro', isa => 'Paws::SageMaker::ProcessingOutputConfig'); has ProcessingResources => (is => 'ro', isa => 'Paws::SageMaker::ProcessingResources', required => 1); has RoleArn => (is => 'ro', isa => 'Str', required => 1); has StoppingCondition => (is => 'ro', isa => 'Paws::SageMaker::ProcessingStoppingCondition'); has Tags => (is => 'ro', isa => 'ArrayRef[Paws::SageMaker::Tag]'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateProcessingJob'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::SageMaker::CreateProcessingJobResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::CreateProcessingJob - Arguments for method CreateProcessingJob on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateProcessingJob on the L service. Use the attributes of this class as arguments to method CreateProcessingJob. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateProcessingJob. =head1 SYNOPSIS my $api.sagemaker = Paws->service('SageMaker'); my $CreateProcessingJobResponse = $api . sagemaker->CreateProcessingJob( AppSpecification => { ImageUri => 'MyImageUri', # max: 255 ContainerArguments => [ 'MyContainerArgument', ... # max: 256 ], # min: 1, max: 100; OPTIONAL ContainerEntrypoint => [ 'MyContainerEntrypointString', ... # max: 256 ], # min: 1, max: 100; OPTIONAL }, ProcessingJobName => 'MyProcessingJobName', ProcessingResources => { ClusterConfig => { InstanceCount => 1, # min: 1, max: 100 InstanceType => 'ml.t3.medium' , # values: ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, 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.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge VolumeSizeInGB => 1, # min: 1, max: 16384 VolumeKmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL }, }, RoleArn => 'MyRoleArn', Environment => { 'MyProcessingEnvironmentKey' => 'MyProcessingEnvironmentValue', # key: max: 256, value: max: 256 }, # OPTIONAL ExperimentConfig => { ExperimentName => 'MyExperimentEntityName', # min: 1, max: 120; OPTIONAL TrialComponentDisplayName => 'MyExperimentEntityName', # min: 1, max: 120; OPTIONAL TrialName => 'MyExperimentEntityName', # min: 1, max: 120; OPTIONAL }, # OPTIONAL NetworkConfig => { EnableInterContainerTrafficEncryption => 1, # OPTIONAL EnableNetworkIsolation => 1, # OPTIONAL VpcConfig => { SecurityGroupIds => [ 'MySecurityGroupId', ... # max: 32 ], # min: 1, max: 5 Subnets => [ 'MySubnetId', ... # max: 32 ], # min: 1, max: 16 }, # OPTIONAL }, # OPTIONAL ProcessingInputs => [ { InputName => 'MyString', AppManaged => 1, # OPTIONAL DatasetDefinition => { AthenaDatasetDefinition => { Catalog => 'MyAthenaCatalog', # min: 1, max: 256 Database => 'MyAthenaDatabase', # min: 1, max: 255 OutputFormat => 'PARQUET', # values: PARQUET, ORC, AVRO, JSON, TEXTFILE OutputS3Uri => 'MyS3Uri', # max: 1024 QueryString => 'MyAthenaQueryString', # min: 1, max: 4096 KmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL OutputCompression => 'GZIP', # values: GZIP, SNAPPY, ZLIB; OPTIONAL WorkGroup => 'MyAthenaWorkGroup', # min: 1, max: 128; OPTIONAL }, # OPTIONAL DataDistributionType => 'FullyReplicated' , # values: FullyReplicated, ShardedByS3Key; OPTIONAL InputMode => 'Pipe', # values: Pipe, File; OPTIONAL LocalPath => 'MyProcessingLocalPath', # max: 256; OPTIONAL RedshiftDatasetDefinition => { ClusterId => 'MyRedshiftClusterId', # min: 1, max: 63 ClusterRoleArn => 'MyRoleArn', # min: 20, max: 2048 Database => 'MyRedshiftDatabase', # min: 1, max: 64 DbUser => 'MyRedshiftUserName', # min: 1, max: 128 OutputFormat => 'PARQUET', # values: PARQUET, CSV OutputS3Uri => 'MyS3Uri', # max: 1024 QueryString => 'MyRedshiftQueryString', # min: 1, max: 4096 KmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL OutputCompression => 'None', # values: None, GZIP, BZIP2, ZSTD, SNAPPY; OPTIONAL }, # OPTIONAL }, # OPTIONAL S3Input => { S3DataType => 'ManifestFile', # values: ManifestFile, S3Prefix S3Uri => 'MyS3Uri', # max: 1024 LocalPath => 'MyProcessingLocalPath', # max: 256; OPTIONAL S3CompressionType => 'None', # values: None, Gzip; OPTIONAL S3DataDistributionType => 'FullyReplicated' , # values: FullyReplicated, ShardedByS3Key; OPTIONAL S3InputMode => 'Pipe', # values: Pipe, File; OPTIONAL }, # OPTIONAL }, ... ], # OPTIONAL ProcessingOutputConfig => { Outputs => [ { OutputName => 'MyString', AppManaged => 1, # OPTIONAL FeatureStoreOutput => { FeatureGroupName => 'MyFeatureGroupName', # min: 1, max: 64 }, # OPTIONAL S3Output => { LocalPath => 'MyProcessingLocalPath', # max: 256; OPTIONAL S3UploadMode => 'Continuous', # values: Continuous, EndOfJob S3Uri => 'MyS3Uri', # max: 1024 }, # OPTIONAL }, ... ], # max: 10 KmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL }, # OPTIONAL StoppingCondition => { MaxRuntimeInSeconds => 1, # min: 1, max: 604800 }, # OPTIONAL Tags => [ { Key => 'MyTagKey', # min: 1, max: 128 Value => 'MyTagValue', # max: 256 }, ... ], # OPTIONAL ); # Results: my $ProcessingJobArn = $CreateProcessingJobResponse->ProcessingJobArn; # 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 B AppSpecification => L Configures the processing job to run a specified Docker container image. =head2 Environment => L The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported. =head2 ExperimentConfig => L =head2 NetworkConfig => L Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs. =head2 ProcessingInputs => ArrayRef[L] An array of inputs configuring the data to download into the processing container. =head2 B ProcessingJobName => Str The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account. =head2 ProcessingOutputConfig => L Output configuration for the processing job. =head2 B ProcessingResources => L Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance. =head2 B RoleArn => Str The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf. =head2 StoppingCondition => L The time limit for how long the processing job is allowed to run. =head2 Tags => ArrayRef[L] (Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags (https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/cost-alloc-tags.html#allocation-whatURL) in the I. =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateProcessingJob in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut