AWS SDK for C++  1.8.95
AWS SDK for C++
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Aws::Comprehend::Model::EntityRecognizerInputDataConfig Class Reference

#include <EntityRecognizerInputDataConfig.h>

Public Member Functions

 EntityRecognizerInputDataConfig ()
 
 EntityRecognizerInputDataConfig (Aws::Utils::Json::JsonView jsonValue)
 
EntityRecognizerInputDataConfigoperator= (Aws::Utils::Json::JsonView jsonValue)
 
Aws::Utils::Json::JsonValue Jsonize () const
 
const EntityRecognizerDataFormatGetDataFormat () const
 
bool DataFormatHasBeenSet () const
 
void SetDataFormat (const EntityRecognizerDataFormat &value)
 
void SetDataFormat (EntityRecognizerDataFormat &&value)
 
EntityRecognizerInputDataConfigWithDataFormat (const EntityRecognizerDataFormat &value)
 
EntityRecognizerInputDataConfigWithDataFormat (EntityRecognizerDataFormat &&value)
 
const Aws::Vector< EntityTypesListItem > & GetEntityTypes () const
 
bool EntityTypesHasBeenSet () const
 
void SetEntityTypes (const Aws::Vector< EntityTypesListItem > &value)
 
void SetEntityTypes (Aws::Vector< EntityTypesListItem > &&value)
 
EntityRecognizerInputDataConfigWithEntityTypes (const Aws::Vector< EntityTypesListItem > &value)
 
EntityRecognizerInputDataConfigWithEntityTypes (Aws::Vector< EntityTypesListItem > &&value)
 
EntityRecognizerInputDataConfigAddEntityTypes (const EntityTypesListItem &value)
 
EntityRecognizerInputDataConfigAddEntityTypes (EntityTypesListItem &&value)
 
const EntityRecognizerDocumentsGetDocuments () const
 
bool DocumentsHasBeenSet () const
 
void SetDocuments (const EntityRecognizerDocuments &value)
 
void SetDocuments (EntityRecognizerDocuments &&value)
 
EntityRecognizerInputDataConfigWithDocuments (const EntityRecognizerDocuments &value)
 
EntityRecognizerInputDataConfigWithDocuments (EntityRecognizerDocuments &&value)
 
const EntityRecognizerAnnotationsGetAnnotations () const
 
bool AnnotationsHasBeenSet () const
 
void SetAnnotations (const EntityRecognizerAnnotations &value)
 
void SetAnnotations (EntityRecognizerAnnotations &&value)
 
EntityRecognizerInputDataConfigWithAnnotations (const EntityRecognizerAnnotations &value)
 
EntityRecognizerInputDataConfigWithAnnotations (EntityRecognizerAnnotations &&value)
 
const EntityRecognizerEntityListGetEntityList () const
 
bool EntityListHasBeenSet () const
 
void SetEntityList (const EntityRecognizerEntityList &value)
 
void SetEntityList (EntityRecognizerEntityList &&value)
 
EntityRecognizerInputDataConfigWithEntityList (const EntityRecognizerEntityList &value)
 
EntityRecognizerInputDataConfigWithEntityList (EntityRecognizerEntityList &&value)
 
const Aws::Vector< AugmentedManifestsListItem > & GetAugmentedManifests () const
 
bool AugmentedManifestsHasBeenSet () const
 
void SetAugmentedManifests (const Aws::Vector< AugmentedManifestsListItem > &value)
 
void SetAugmentedManifests (Aws::Vector< AugmentedManifestsListItem > &&value)
 
EntityRecognizerInputDataConfigWithAugmentedManifests (const Aws::Vector< AugmentedManifestsListItem > &value)
 
EntityRecognizerInputDataConfigWithAugmentedManifests (Aws::Vector< AugmentedManifestsListItem > &&value)
 
EntityRecognizerInputDataConfigAddAugmentedManifests (const AugmentedManifestsListItem &value)
 
EntityRecognizerInputDataConfigAddAugmentedManifests (AugmentedManifestsListItem &&value)
 

Detailed Description

Specifies the format and location of the input data.

See Also:

AWS API Reference

Definition at line 38 of file EntityRecognizerInputDataConfig.h.

Constructor & Destructor Documentation

◆ EntityRecognizerInputDataConfig() [1/2]

Aws::Comprehend::Model::EntityRecognizerInputDataConfig::EntityRecognizerInputDataConfig ( )

◆ EntityRecognizerInputDataConfig() [2/2]

Aws::Comprehend::Model::EntityRecognizerInputDataConfig::EntityRecognizerInputDataConfig ( Aws::Utils::Json::JsonView  jsonValue)

Member Function Documentation

◆ AddAugmentedManifests() [1/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::AddAugmentedManifests ( const AugmentedManifestsListItem value)
inline

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.

Definition at line 416 of file EntityRecognizerInputDataConfig.h.

◆ AddAugmentedManifests() [2/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::AddAugmentedManifests ( AugmentedManifestsListItem &&  value)
inline

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.

Definition at line 424 of file EntityRecognizerInputDataConfig.h.

◆ AddEntityTypes() [1/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::AddEntityTypes ( const EntityTypesListItem value)
inline

The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.

A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters:
(line break), \n (escaped line break), (carriage return), \r (escaped carriage return), (tab), \t (escaped tab), space, and , (comma).

Definition at line 237 of file EntityRecognizerInputDataConfig.h.

◆ AddEntityTypes() [2/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::AddEntityTypes ( EntityTypesListItem &&  value)
inline

The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.

A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters:
(line break), \n (escaped line break), (carriage return), \r (escaped carriage return), (tab), \t (escaped tab), space, and , (comma).

Definition at line 248 of file EntityRecognizerInputDataConfig.h.

◆ AnnotationsHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerInputDataConfig::AnnotationsHasBeenSet ( ) const
inline

The S3 location of the CSV file that annotates your training documents.

Definition at line 302 of file EntityRecognizerInputDataConfig.h.

◆ AugmentedManifestsHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerInputDataConfig::AugmentedManifestsHasBeenSet ( ) const
inline

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.

Definition at line 376 of file EntityRecognizerInputDataConfig.h.

◆ DataFormatHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerInputDataConfig::DataFormatHasBeenSet ( ) const
inline

The format of your training data:

  • COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains information about the custom entities that your trained model will detect. The required format of the file depends on whether you are providing annotations or an entity list.

    If you use this value, you must provide your CSV file by using either the Annotations or EntityList parameters. You must provide your training documents by using the Documents parameter.

  • 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 labels. Each label annotates a named entity in the training document.

    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.

Definition at line 83 of file EntityRecognizerInputDataConfig.h.

◆ DocumentsHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerInputDataConfig::DocumentsHasBeenSet ( ) const
inline

The S3 location of the folder that contains the training documents for your custom entity recognizer.

This parameter is required if you set DataFormat to COMPREHEND_CSV.

Definition at line 263 of file EntityRecognizerInputDataConfig.h.

◆ EntityListHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerInputDataConfig::EntityListHasBeenSet ( ) const
inline

The S3 location of the CSV file that has the entity list for your custom entity recognizer.

Definition at line 335 of file EntityRecognizerInputDataConfig.h.

◆ EntityTypesHasBeenSet()

bool Aws::Comprehend::Model::EntityRecognizerInputDataConfig::EntityTypesHasBeenSet ( ) const
inline

The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.

A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters:
(line break), \n (escaped line break), (carriage return), \r (escaped carriage return), (tab), \t (escaped tab), space, and , (comma).

Definition at line 182 of file EntityRecognizerInputDataConfig.h.

◆ GetAnnotations()

const EntityRecognizerAnnotations& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::GetAnnotations ( ) const
inline

The S3 location of the CSV file that annotates your training documents.

Definition at line 297 of file EntityRecognizerInputDataConfig.h.

◆ GetAugmentedManifests()

const Aws::Vector<AugmentedManifestsListItem>& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::GetAugmentedManifests ( ) const
inline

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.

Definition at line 368 of file EntityRecognizerInputDataConfig.h.

◆ GetDataFormat()

const EntityRecognizerDataFormat& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::GetDataFormat ( ) const
inline

The format of your training data:

  • COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains information about the custom entities that your trained model will detect. The required format of the file depends on whether you are providing annotations or an entity list.

    If you use this value, you must provide your CSV file by using either the Annotations or EntityList parameters. You must provide your training documents by using the Documents parameter.

  • 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 labels. Each label annotates a named entity in the training document.

    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.

Definition at line 64 of file EntityRecognizerInputDataConfig.h.

◆ GetDocuments()

const EntityRecognizerDocuments& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::GetDocuments ( ) const
inline

The S3 location of the folder that contains the training documents for your custom entity recognizer.

This parameter is required if you set DataFormat to COMPREHEND_CSV.

Definition at line 256 of file EntityRecognizerInputDataConfig.h.

◆ GetEntityList()

const EntityRecognizerEntityList& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::GetEntityList ( ) const
inline

The S3 location of the CSV file that has the entity list for your custom entity recognizer.

Definition at line 329 of file EntityRecognizerInputDataConfig.h.

◆ GetEntityTypes()

const Aws::Vector<EntityTypesListItem>& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::GetEntityTypes ( ) const
inline

The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.

A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters:
(line break), \n (escaped line break), (carriage return), \r (escaped carriage return), (tab), \t (escaped tab), space, and , (comma).

Definition at line 171 of file EntityRecognizerInputDataConfig.h.

◆ Jsonize()

Aws::Utils::Json::JsonValue Aws::Comprehend::Model::EntityRecognizerInputDataConfig::Jsonize ( ) const

◆ operator=()

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::operator= ( Aws::Utils::Json::JsonView  jsonValue)

◆ SetAnnotations() [1/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetAnnotations ( const EntityRecognizerAnnotations value)
inline

The S3 location of the CSV file that annotates your training documents.

Definition at line 307 of file EntityRecognizerInputDataConfig.h.

◆ SetAnnotations() [2/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetAnnotations ( EntityRecognizerAnnotations &&  value)
inline

The S3 location of the CSV file that annotates your training documents.

Definition at line 312 of file EntityRecognizerInputDataConfig.h.

◆ SetAugmentedManifests() [1/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetAugmentedManifests ( const Aws::Vector< AugmentedManifestsListItem > &  value)
inline

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.

Definition at line 384 of file EntityRecognizerInputDataConfig.h.

◆ SetAugmentedManifests() [2/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetAugmentedManifests ( Aws::Vector< AugmentedManifestsListItem > &&  value)
inline

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.

Definition at line 392 of file EntityRecognizerInputDataConfig.h.

◆ SetDataFormat() [1/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetDataFormat ( const EntityRecognizerDataFormat value)
inline

The format of your training data:

  • COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains information about the custom entities that your trained model will detect. The required format of the file depends on whether you are providing annotations or an entity list.

    If you use this value, you must provide your CSV file by using either the Annotations or EntityList parameters. You must provide your training documents by using the Documents parameter.

  • 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 labels. Each label annotates a named entity in the training document.

    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.

Definition at line 102 of file EntityRecognizerInputDataConfig.h.

◆ SetDataFormat() [2/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetDataFormat ( EntityRecognizerDataFormat &&  value)
inline

The format of your training data:

  • COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains information about the custom entities that your trained model will detect. The required format of the file depends on whether you are providing annotations or an entity list.

    If you use this value, you must provide your CSV file by using either the Annotations or EntityList parameters. You must provide your training documents by using the Documents parameter.

  • 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 labels. Each label annotates a named entity in the training document.

    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.

Definition at line 121 of file EntityRecognizerInputDataConfig.h.

◆ SetDocuments() [1/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetDocuments ( const EntityRecognizerDocuments value)
inline

The S3 location of the folder that contains the training documents for your custom entity recognizer.

This parameter is required if you set DataFormat to COMPREHEND_CSV.

Definition at line 270 of file EntityRecognizerInputDataConfig.h.

◆ SetDocuments() [2/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetDocuments ( EntityRecognizerDocuments &&  value)
inline

The S3 location of the folder that contains the training documents for your custom entity recognizer.

This parameter is required if you set DataFormat to COMPREHEND_CSV.

Definition at line 277 of file EntityRecognizerInputDataConfig.h.

◆ SetEntityList() [1/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetEntityList ( const EntityRecognizerEntityList value)
inline

The S3 location of the CSV file that has the entity list for your custom entity recognizer.

Definition at line 341 of file EntityRecognizerInputDataConfig.h.

◆ SetEntityList() [2/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetEntityList ( EntityRecognizerEntityList &&  value)
inline

The S3 location of the CSV file that has the entity list for your custom entity recognizer.

Definition at line 347 of file EntityRecognizerInputDataConfig.h.

◆ SetEntityTypes() [1/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetEntityTypes ( const Aws::Vector< EntityTypesListItem > &  value)
inline

The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.

A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters:
(line break), \n (escaped line break), (carriage return), \r (escaped carriage return), (tab), \t (escaped tab), space, and , (comma).

Definition at line 193 of file EntityRecognizerInputDataConfig.h.

◆ SetEntityTypes() [2/2]

void Aws::Comprehend::Model::EntityRecognizerInputDataConfig::SetEntityTypes ( Aws::Vector< EntityTypesListItem > &&  value)
inline

The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.

A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters:
(line break), \n (escaped line break), (carriage return), \r (escaped carriage return), (tab), \t (escaped tab), space, and , (comma).

Definition at line 204 of file EntityRecognizerInputDataConfig.h.

◆ WithAnnotations() [1/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithAnnotations ( const EntityRecognizerAnnotations value)
inline

The S3 location of the CSV file that annotates your training documents.

Definition at line 317 of file EntityRecognizerInputDataConfig.h.

◆ WithAnnotations() [2/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithAnnotations ( EntityRecognizerAnnotations &&  value)
inline

The S3 location of the CSV file that annotates your training documents.

Definition at line 322 of file EntityRecognizerInputDataConfig.h.

◆ WithAugmentedManifests() [1/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithAugmentedManifests ( const Aws::Vector< AugmentedManifestsListItem > &  value)
inline

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.

Definition at line 400 of file EntityRecognizerInputDataConfig.h.

◆ WithAugmentedManifests() [2/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithAugmentedManifests ( Aws::Vector< AugmentedManifestsListItem > &&  value)
inline

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.

Definition at line 408 of file EntityRecognizerInputDataConfig.h.

◆ WithDataFormat() [1/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithDataFormat ( const EntityRecognizerDataFormat value)
inline

The format of your training data:

  • COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains information about the custom entities that your trained model will detect. The required format of the file depends on whether you are providing annotations or an entity list.

    If you use this value, you must provide your CSV file by using either the Annotations or EntityList parameters. You must provide your training documents by using the Documents parameter.

  • 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 labels. Each label annotates a named entity in the training document.

    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.

Definition at line 140 of file EntityRecognizerInputDataConfig.h.

◆ WithDataFormat() [2/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithDataFormat ( EntityRecognizerDataFormat &&  value)
inline

The format of your training data:

  • COMPREHEND_CSV: A CSV file that supplements your training documents. The CSV file contains information about the custom entities that your trained model will detect. The required format of the file depends on whether you are providing annotations or an entity list.

    If you use this value, you must provide your CSV file by using either the Annotations or EntityList parameters. You must provide your training documents by using the Documents parameter.

  • 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 labels. Each label annotates a named entity in the training document.

    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.

Definition at line 159 of file EntityRecognizerInputDataConfig.h.

◆ WithDocuments() [1/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithDocuments ( const EntityRecognizerDocuments value)
inline

The S3 location of the folder that contains the training documents for your custom entity recognizer.

This parameter is required if you set DataFormat to COMPREHEND_CSV.

Definition at line 284 of file EntityRecognizerInputDataConfig.h.

◆ WithDocuments() [2/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithDocuments ( EntityRecognizerDocuments &&  value)
inline

The S3 location of the folder that contains the training documents for your custom entity recognizer.

This parameter is required if you set DataFormat to COMPREHEND_CSV.

Definition at line 291 of file EntityRecognizerInputDataConfig.h.

◆ WithEntityList() [1/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithEntityList ( const EntityRecognizerEntityList value)
inline

The S3 location of the CSV file that has the entity list for your custom entity recognizer.

Definition at line 353 of file EntityRecognizerInputDataConfig.h.

◆ WithEntityList() [2/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithEntityList ( EntityRecognizerEntityList &&  value)
inline

The S3 location of the CSV file that has the entity list for your custom entity recognizer.

Definition at line 359 of file EntityRecognizerInputDataConfig.h.

◆ WithEntityTypes() [1/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithEntityTypes ( const Aws::Vector< EntityTypesListItem > &  value)
inline

The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.

A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters:
(line break), \n (escaped line break), (carriage return), \r (escaped carriage return), (tab), \t (escaped tab), space, and , (comma).

Definition at line 215 of file EntityRecognizerInputDataConfig.h.

◆ WithEntityTypes() [2/2]

EntityRecognizerInputDataConfig& Aws::Comprehend::Model::EntityRecognizerInputDataConfig::WithEntityTypes ( Aws::Vector< EntityTypesListItem > &&  value)
inline

The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.

A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters:
(line break), \n (escaped line break), (carriage return), \r (escaped carriage return), (tab), \t (escaped tab), space, and , (comma).

Definition at line 226 of file EntityRecognizerInputDataConfig.h.


The documentation for this class was generated from the following file: