openapi: 3.0.0 info: version: '2017-11-27' x-release: v4 title: 'Amazon Comprehend #X Amz Target=Comprehend 20171127.BatchDetectDominantLanguage #X Amz Target=Comprehend 20171127.BatchDetectDominantLanguage #X Amz Target=Comprehend 20171127.CreateDocumentClassifier API' description: Amazon Comprehend is an Amazon Web Services service for gaining insight into the content of documents. Use these actions to determine the topics contained in your documents, the topics they discuss, the predominant sentiment expressed in them, the predominant language used, and more. x-logo: url: https://twitter.com/awscloud/profile_image?size=original backgroundColor: '#FFFFFF' termsOfService: https://aws.amazon.com/service-terms/ contact: name: Mike Ralphson email: mike.ralphson@gmail.com url: https://github.com/mermade/aws2openapi x-twitter: PermittedSoc license: name: Apache 2.0 License url: http://www.apache.org/licenses/ x-providerName: amazonaws.com x-serviceName: comprehend x-aws-signingName: comprehend x-origin: - contentType: application/json url: https://raw.githubusercontent.com/aws/aws-sdk-js/master/apis/comprehend-2017-11-27.normal.json converter: url: https://github.com/mermade/aws2openapi version: 1.0.0 x-apisguru-driver: external x-apiClientRegistration: url: https://portal.aws.amazon.com/gp/aws/developer/registration/index.html?nc2=h_ct x-apisguru-categories: - cloud x-preferred: true servers: - url: http://comprehend.{region}.amazonaws.com variables: region: description: The AWS region enum: - us-east-1 - us-east-2 - us-west-1 - us-west-2 - us-gov-west-1 - us-gov-east-1 - ca-central-1 - eu-north-1 - eu-west-1 - eu-west-2 - eu-west-3 - eu-central-1 - eu-south-1 - af-south-1 - ap-northeast-1 - ap-northeast-2 - ap-northeast-3 - ap-southeast-1 - ap-southeast-2 - ap-east-1 - ap-south-1 - sa-east-1 - me-south-1 default: us-east-1 description: The Amazon Comprehend multi-region endpoint - url: https://comprehend.{region}.amazonaws.com variables: region: description: The AWS region enum: - us-east-1 - us-east-2 - us-west-1 - us-west-2 - us-gov-west-1 - us-gov-east-1 - ca-central-1 - eu-north-1 - eu-west-1 - eu-west-2 - eu-west-3 - eu-central-1 - eu-south-1 - af-south-1 - ap-northeast-1 - ap-northeast-2 - ap-northeast-3 - ap-southeast-1 - ap-southeast-2 - ap-east-1 - ap-south-1 - sa-east-1 - me-south-1 default: us-east-1 description: The Amazon Comprehend multi-region endpoint - url: http://comprehend.{region}.amazonaws.com.cn variables: region: description: The AWS region enum: - cn-north-1 - cn-northwest-1 default: cn-north-1 description: The Amazon Comprehend endpoint for China (Beijing) and China (Ningxia) - url: https://comprehend.{region}.amazonaws.com.cn variables: region: description: The AWS region enum: - cn-north-1 - cn-northwest-1 default: cn-north-1 description: The Amazon Comprehend endpoint for China (Beijing) and China (Ningxia) security: - hmac: [] tags: - name: '#X Amz Target=Comprehend 20171127.CreateDocumentClassifier' paths: /#X-Amz-Target=Comprehend_20171127.CreateDocumentClassifier: parameters: - $ref: '#/components/parameters/X-Amz-Content-Sha256' - $ref: '#/components/parameters/X-Amz-Date' - $ref: '#/components/parameters/X-Amz-Algorithm' - $ref: '#/components/parameters/X-Amz-Credential' - $ref: '#/components/parameters/X-Amz-Security-Token' - $ref: '#/components/parameters/X-Amz-Signature' - $ref: '#/components/parameters/X-Amz-SignedHeaders' post: operationId: CreateDocumentClassifier description: 'Creates a new document classifier that you can use to categorize documents. To create a classifier, you provide a set of training documents that are labeled with the categories that you want to use. For more information, see Training classifier models in the Comprehend Developer Guide. ' responses: '200': description: Success content: application/json: schema: $ref: '#/components/schemas/CreateDocumentClassifierResponse' examples: CreateDocumentClassifier200Example: summary: Default CreateDocumentClassifier 200 x-microcks-default: true value: DocumentClassifierArn: example '480': description: InvalidRequestException content: application/json: schema: $ref: '#/components/schemas/InvalidRequestException' examples: CreateDocumentClassifier480Example: summary: Default CreateDocumentClassifier 480 x-microcks-default: true value: example '481': description: ResourceInUseException content: application/json: schema: $ref: '#/components/schemas/ResourceInUseException' examples: CreateDocumentClassifier481Example: summary: Default CreateDocumentClassifier 481 x-microcks-default: true value: example '482': description: TooManyTagsException content: application/json: schema: $ref: '#/components/schemas/TooManyTagsException' examples: CreateDocumentClassifier482Example: summary: Default CreateDocumentClassifier 482 x-microcks-default: true value: example '483': description: TooManyRequestsException content: application/json: schema: $ref: '#/components/schemas/TooManyRequestsException' examples: CreateDocumentClassifier483Example: summary: Default CreateDocumentClassifier 483 x-microcks-default: true value: example '484': description: ResourceLimitExceededException content: application/json: schema: $ref: '#/components/schemas/ResourceLimitExceededException' examples: CreateDocumentClassifier484Example: summary: Default CreateDocumentClassifier 484 x-microcks-default: true value: example '485': description: UnsupportedLanguageException content: application/json: schema: $ref: '#/components/schemas/UnsupportedLanguageException' examples: CreateDocumentClassifier485Example: summary: Default CreateDocumentClassifier 485 x-microcks-default: true value: example '486': description: KmsKeyValidationException content: application/json: schema: $ref: '#/components/schemas/KmsKeyValidationException' examples: CreateDocumentClassifier486Example: summary: Default CreateDocumentClassifier 486 x-microcks-default: true value: example '487': description: InternalServerException content: application/json: schema: $ref: '#/components/schemas/InternalServerException' examples: CreateDocumentClassifier487Example: summary: Default CreateDocumentClassifier 487 x-microcks-default: true value: example requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/CreateDocumentClassifierRequest' parameters: - name: X-Amz-Target in: header required: true schema: type: string enum: - Comprehend_20171127.CreateDocumentClassifier summary: Amazon Comprehend Create Document Classifier x-microcks-operation: delay: 0 dispatcher: FALLBACK tags: - '#X Amz Target=Comprehend 20171127.CreateDocumentClassifier' components: schemas: DocumentClassifierOutputDataConfig: type: object properties: S3Uri: allOf: - $ref: '#/components/schemas/S3Uri' - description:
When you use the OutputDataConfig object while creating a custom classifier, you specify the Amazon S3 location where you want to write the confusion matrix and other output files. The URI must be in the same Region as the API endpoint that you are calling. The location is used as the prefix for the actual location of this output file.
When the custom classifier job is finished, the service creates the output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz. It is a compressed archive that contains the confusion matrix.
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
KMS Key Alias: "alias/ExampleAlias"
ARN of a KMS Key Alias: "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
ID for the Amazon Web Services 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:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
The resource-based policy to attach to your custom document classifier model. You can use this policy to allow another Amazon Web Services account to import your custom model.
Provide your policy as a JSON body that you enter as a UTF-8 encoded string without line breaks. To provide valid JSON, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:
"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"
To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:
''{"attribute": "value", "attribute": ["value"]}''
The purpose of the data you've provided in the augmented manifest. You can either train or test this data. If you don't specify, the default is train.
TRAIN - all of the documents in the manifest will be used for training. If no test documents are provided, Amazon Comprehend will automatically reserve a portion of the training documents for testing.
TEST - all of the documents in the manifest will be used for testing.
AttributeNames: allOf: - $ref: '#/components/schemas/AttributeNamesList' - description:The JSON attribute that contains the annotations for your training documents. The number of attribute names that you specify depends on whether your augmented manifest file is the output of a single labeling job or a chained labeling job.
If your file is the output of a single labeling job, specify the LabelAttributeName key that was used when the job was created in Ground Truth.
If your file is the output of a chained labeling job, specify the LabelAttributeName key for one or more jobs in the chain. Each LabelAttributeName key provides the annotations from an individual job.
AnnotationDataS3Uri: allOf: - $ref: '#/components/schemas/S3Uri' - description: The S3 prefix to the annotation files that are referred in the augmented manifest file. SourceDocumentsS3Uri: allOf: - $ref: '#/components/schemas/S3Uri' - description: The S3 prefix to the source files (PDFs) that are referred to in the augmented manifest file. DocumentType: allOf: - $ref: '#/components/schemas/AugmentedManifestsDocumentTypeFormat' - description:The type of augmented manifest. PlainTextDocument or SemiStructuredDocument. If you don't specify, the default is PlainTextDocument.
PLAIN_TEXT_DOCUMENT A document type that represents any unicode text that is encoded in UTF-8.
SEMI_STRUCTURED_DOCUMENT A document type with positional and structural context, like a PDF. For training with Amazon Comprehend, only PDFs are supported. For inference, Amazon Comprehend support PDFs, DOCX and TXT.
This field defines the Amazon Textract API operation that Amazon Comprehend uses to extract text from PDF files and image files. Enter one of the following values:
TEXTRACT_DETECT_DOCUMENT_TEXT - The Amazon Comprehend service uses the DetectDocumentText API operation.
TEXTRACT_ANALYZE_DOCUMENT - The Amazon Comprehend service uses the AnalyzeDocument API operation.
Determines the text extraction actions for PDF files. Enter one of the following values:
SERVICE_DEFAULT - use the Amazon Comprehend service defaults for PDF files.
FORCE_DOCUMENT_READ_ACTION - Amazon Comprehend uses the Textract API specified by DocumentReadAction for all PDF files, including digital PDF files.
Specifies the type of Amazon Textract features to apply. If you chose TEXTRACT_ANALYZE_DOCUMENT as the read action, you must specify one or both of the following values:
TABLES - Returns information about any tables that are detected in the input document.
FORMS - Returns information and the data from any forms that are detected in the input document.
Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.
By default, Amazon Comprehend performs the following actions to extract text from files, based on the input file type:
Word files - Amazon Comprehend parser extracts the text.
Digital PDF files - Amazon Comprehend parser extracts the text.
Image files and scanned PDF files - Amazon Comprehend uses the Amazon Textract DetectDocumentText API to extract the text.
DocumentReaderConfig does not apply to plain text files or Word files.
For image files and PDF documents, you can override these default actions using the fields listed below. For more information, see Setting text extraction options in the Comprehend Developer Guide.
' Split: type: string enum: - TRAIN - TEST DocumentClassifierInputDataConfig: type: object properties: DataFormat: allOf: - $ref: '#/components/schemas/DocumentClassifierDataFormat' - description: 'The format of your training data:
COMPREHEND_CSV: A two-column CSV file, where labels are provided in the first column, and documents are provided in the second. If you use this value, you must provide the S3Uri parameter in your request.
AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon SageMaker Ground Truth. This file is in JSON lines format. Each line is a complete JSON object that contains a training document and its associated labels.
If you use this value, you must provide the AugmentedManifests parameter in your request.
If you don''t specify a value, Amazon Comprehend uses COMPREHEND_CSV as the default.
The Amazon S3 URI for the input data. The S3 bucket must be in the same Region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.
For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.
This parameter is required if you set DataFormat to COMPREHEND_CSV.
A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.
This parameter is required if you set DataFormat to AUGMENTED_MANIFEST.
The input properties for training a document classifier.
For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.
AttributeNamesListItem: type: string pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9])* minLength: 1 maxLength: 63 DocumentClassifierArn: type: string pattern: arn:aws(-[^:]+)?:comprehend:[a-zA-Z0-9-]*:[0-9]{12}:document-classifier/[a-zA-Z0-9](-*[a-zA-Z0-9])*(/version/[a-zA-Z0-9](-*[a-zA-Z0-9])*)? maxLength: 256 AttributeNamesList: type: array items: $ref: '#/components/schemas/AttributeNamesListItem' DocumentClassifierDocumentTypeFormat: type: string enum: - PLAIN_TEXT_DOCUMENT - SEMI_STRUCTURED_DOCUMENT DocumentClassifierMode: type: string enum: - MULTI_CLASS - MULTI_LABEL InvalidRequestException: {} DocumentReadFeatureTypes: type: string enum: - TABLES - FORMS description:Specifies the type of Amazon Textract features to apply. If you chose TEXTRACT_ANALYZE_DOCUMENT as the read action, you must specify one or both of the following values:
TABLES - Returns additional information about any tables that are detected in the input document.
FORMS - Returns additional information about any forms that are detected in the input document.