package Paws::Comprehend::CreateEntityRecognizer; use Moose; has ClientRequestToken => (is => 'ro', isa => 'Str'); has DataAccessRoleArn => (is => 'ro', isa => 'Str', required => 1); has InputDataConfig => (is => 'ro', isa => 'Paws::Comprehend::EntityRecognizerInputDataConfig', required => 1); has LanguageCode => (is => 'ro', isa => 'Str', required => 1); has ModelKmsKeyId => (is => 'ro', isa => 'Str'); has RecognizerName => (is => 'ro', isa => 'Str', required => 1); has Tags => (is => 'ro', isa => 'ArrayRef[Paws::Comprehend::Tag]'); 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 => 'CreateEntityRecognizer'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Comprehend::CreateEntityRecognizerResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Comprehend::CreateEntityRecognizer - Arguments for method CreateEntityRecognizer on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateEntityRecognizer on the L service. Use the attributes of this class as arguments to method CreateEntityRecognizer. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateEntityRecognizer. =head1 SYNOPSIS my $comprehend = Paws->service('Comprehend'); my $CreateEntityRecognizerResponse = $comprehend->CreateEntityRecognizer( DataAccessRoleArn => 'MyIamRoleArn', InputDataConfig => { EntityTypes => [ { Type => 'MyEntityTypeName', # max: 64 }, ... ], Annotations => { S3Uri => 'MyS3Uri', # max: 1024 }, # OPTIONAL AugmentedManifests => [ { AttributeNames => [ 'MyAttributeNamesListItem', ... # min: 1, max: 63 ], S3Uri => 'MyS3Uri', # max: 1024 }, ... ], # OPTIONAL DataFormat => 'COMPREHEND_CSV' , # values: COMPREHEND_CSV, AUGMENTED_MANIFEST; OPTIONAL Documents => { S3Uri => 'MyS3Uri', # max: 1024 }, # OPTIONAL EntityList => { S3Uri => 'MyS3Uri', # max: 1024 }, # OPTIONAL }, LanguageCode => 'en', RecognizerName => 'MyComprehendArnName', ClientRequestToken => 'MyClientRequestTokenString', # OPTIONAL ModelKmsKeyId => 'MyKmsKeyId', # OPTIONAL Tags => [ { Key => 'MyTagKey', # min: 1, max: 128 Value => 'MyTagValue', # max: 256; OPTIONAL }, ... ], # 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 $EntityRecognizerArn = $CreateEntityRecognizerResponse->EntityRecognizerArn; # 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 Management (IAM) role that grants Amazon Comprehend read access to your input data. =head2 B InputDataConfig => L Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created. =head2 B LanguageCode => Str You can specify any of the following languages supported by Amazon Comprehend: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). All documents must be in the same language. 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 ModelKmsKeyId => Str ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId 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 B RecognizerName => Str The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region. =head2 Tags => ArrayRef[L] Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department. =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 custom entity recognizer. 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 CreateEntityRecognizer in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut