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::Comprehend::StartEntitiesDetectionJob; use Moose; has ClientRequestToken => (is => 'ro', isa => 'Str'); has DataAccessRoleArn => (is => 'ro', isa => 'Str', required => 1); has EntityRecognizerArn => (is => 'ro', isa => 'Str'); has InputDataConfig => (is => 'ro', isa => 'Paws::Comprehend::InputDataConfig', required => 1); has JobName => (is => 'ro', isa => 'Str'); has LanguageCode => (is => 'ro', isa => 'Str', required => 1); has OutputDataConfig => (is => 'ro', isa => 'Paws::Comprehend::OutputDataConfig', required => 1); has VolumeKmsKeyId => (is => 'ro', isa => 'Str'); has VpcConfig => (is => 'ro', isa => 'Paws::Comprehend::VpcConfig'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'StartEntitiesDetectionJob'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Comprehend::StartEntitiesDetectionJobResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Comprehend::StartEntitiesDetectionJob - Arguments for method StartEntitiesDetectionJob on L =head1 DESCRIPTION This class represents the parameters used for calling the method StartEntitiesDetectionJob on the L service. Use the attributes of this class as arguments to method StartEntitiesDetectionJob. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to StartEntitiesDetectionJob. =head1 SYNOPSIS my $comprehend = Paws->service('Comprehend'); my $StartEntitiesDetectionJobResponse = $comprehend->StartEntitiesDetectionJob( DataAccessRoleArn => 'MyIamRoleArn', InputDataConfig => { S3Uri => 'MyS3Uri', # max: 1024 InputFormat => 'ONE_DOC_PER_FILE' , # values: ONE_DOC_PER_FILE, ONE_DOC_PER_LINE; OPTIONAL }, LanguageCode => 'en', OutputDataConfig => { S3Uri => 'MyS3Uri', # max: 1024 KmsKeyId => 'MyKmsKeyId', # max: 2048; OPTIONAL }, ClientRequestToken => 'MyClientRequestTokenString', # OPTIONAL EntityRecognizerArn => 'MyEntityRecognizerArn', # OPTIONAL JobName => 'MyJobName', # OPTIONAL VolumeKmsKeyId => 'MyKmsKeyId', # OPTIONAL VpcConfig => { SecurityGroupIds => [ 'MySecurityGroupId', ... # min: 1, max: 32 ], # min: 1, max: 5 Subnets => [ 'MySubnetId', ... # min: 1, max: 32 ], # min: 1, max: 16 }, # OPTIONAL ); # Results: my $JobId = $StartEntitiesDetectionJobResponse->JobId; my $JobStatus = $StartEntitiesDetectionJobResponse->JobStatus; # 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 ClientRequestToken => Str A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one. =head2 B DataAccessRoleArn => Str The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data. For more information, see https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions (https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions). =head2 EntityRecognizerArn => Str The Amazon Resource Name (ARN) that identifies the specific entity recognizer to be used by the C. This ARN is optional and is only used for a custom entity recognition job. =head2 B InputDataConfig => L Specifies the format and location of the input data for the job. =head2 JobName => Str The identifier of the job. =head2 B LanguageCode => Str The language of the input documents. All documents must be in the same language. You can specify any of the languages supported by Amazon Comprehend. If custom entities recognition is used, this parameter is ignored and the language used for training the model is used instead. Valid values are: C<"en">, C<"es">, C<"fr">, C<"de">, C<"it">, C<"pt">, C<"ar">, C<"hi">, C<"ja">, C<"ko">, C<"zh">, C<"zh-TW"> =head2 B OutputDataConfig => L Specifies where to send the output files. =head2 VolumeKmsKeyId => Str ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats: =over =item * KMS Key ID: C<"1234abcd-12ab-34cd-56ef-1234567890ab"> =item * Amazon Resource Name (ARN) of a KMS Key: C<"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"> =back =head2 VpcConfig => L Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job. For more information, see Amazon VPC (https://docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html). =head1 SEE ALSO This class forms part of L, documenting arguments for method StartEntitiesDetectionJob in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut