Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.Comprehend.Types.EntityRecognizerMetadata

Description

Documentation

data EntityRecognizerMetadata Source #

Detailed information about an entity recognizer.

See: newEntityRecognizerMetadata smart constructor.

Constructors

EntityRecognizerMetadata'

Fields

entityTypes :: Maybe [EntityRecognizerMetadataEntityTypesListItem]
Entity types from the metadata of an entity recognizer.
evaluationMetrics :: Maybe EntityRecognizerEvaluationMetrics
Detailed information about the accuracy of an entity recognizer.
numberOfTrainedDocuments :: Maybe Int
The number of documents in the input data that were used to train the entity recognizer. Typically this is 80 to 90 percent of the input documents.
numberOfTestDocuments :: Maybe Int
The number of documents in the input data that were used to test the entity recognizer. Typically this is 10 to 20 percent of the input documents.

Instances

Instances details

Eq EntityRecognizerMetadata Source #
Instance details Defined in Amazonka.Comprehend.Types.EntityRecognizerMetadata Methods (==) :: EntityRecognizerMetadata -> EntityRecognizerMetadata -> Bool # (/=) :: EntityRecognizerMetadata -> EntityRecognizerMetadata -> Bool #
Show EntityRecognizerMetadata Source #
Instance details Defined in Amazonka.Comprehend.Types.EntityRecognizerMetadata Methods showsPrec :: Int -> EntityRecognizerMetadata -> ShowS # show :: EntityRecognizerMetadata -> String # showList :: [EntityRecognizerMetadata] -> ShowS #
Generic EntityRecognizerMetadata Source #
Instance details Defined in Amazonka.Comprehend.Types.EntityRecognizerMetadata Associated Types type Rep EntityRecognizerMetadata :: Type -> Type # Methods from :: EntityRecognizerMetadata -> Rep EntityRecognizerMetadata x # to :: Rep EntityRecognizerMetadata x -> EntityRecognizerMetadata #
NFData EntityRecognizerMetadata Source #
Instance details Defined in Amazonka.Comprehend.Types.EntityRecognizerMetadata Methods rnf :: EntityRecognizerMetadata -> () #
Hashable EntityRecognizerMetadata Source #
Instance details Defined in Amazonka.Comprehend.Types.EntityRecognizerMetadata Methods hashWithSalt :: Int -> EntityRecognizerMetadata -> Int # hash :: EntityRecognizerMetadata -> Int #
FromJSON EntityRecognizerMetadata Source #
Instance details Defined in Amazonka.Comprehend.Types.EntityRecognizerMetadata Methods parseJSON :: Value -> Parser EntityRecognizerMetadata # parseJSONList :: Value -> Parser [EntityRecognizerMetadata] #
type Rep EntityRecognizerMetadata Source #
Instance details Defined in Amazonka.Comprehend.Types.EntityRecognizerMetadata type Rep EntityRecognizerMetadata = D1 ('MetaData "EntityRecognizerMetadata" "Amazonka.Comprehend.Types.EntityRecognizerMetadata" "libZSservicesZSamazonka-comprehendZSamazonka-comprehend" 'False) (C1 ('MetaCons "EntityRecognizerMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "entityTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EntityRecognizerMetadataEntityTypesListItem])) :: S1 ('MetaSel ('Just "evaluationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EntityRecognizerEvaluationMetrics))) :: (S1 ('MetaSel ('Just "numberOfTrainedDocuments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "numberOfTestDocuments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))))

newEntityRecognizerMetadata :: EntityRecognizerMetadata Source #

Create a value of EntityRecognizerMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:entityTypes:EntityRecognizerMetadata', entityRecognizerMetadata_entityTypes - Entity types from the metadata of an entity recognizer.

$sel:evaluationMetrics:EntityRecognizerMetadata', entityRecognizerMetadata_evaluationMetrics - Detailed information about the accuracy of an entity recognizer.

$sel:numberOfTrainedDocuments:EntityRecognizerMetadata', entityRecognizerMetadata_numberOfTrainedDocuments - The number of documents in the input data that were used to train the entity recognizer. Typically this is 80 to 90 percent of the input documents.

$sel:numberOfTestDocuments:EntityRecognizerMetadata', entityRecognizerMetadata_numberOfTestDocuments - The number of documents in the input data that were used to test the entity recognizer. Typically this is 10 to 20 percent of the input documents.

entityRecognizerMetadata_entityTypes :: Lens' EntityRecognizerMetadata (Maybe [EntityRecognizerMetadataEntityTypesListItem]) Source #

Entity types from the metadata of an entity recognizer.

entityRecognizerMetadata_evaluationMetrics :: Lens' EntityRecognizerMetadata (Maybe EntityRecognizerEvaluationMetrics) Source #

Detailed information about the accuracy of an entity recognizer.

entityRecognizerMetadata_numberOfTrainedDocuments :: Lens' EntityRecognizerMetadata (Maybe Int) Source #

The number of documents in the input data that were used to train the entity recognizer. Typically this is 80 to 90 percent of the input documents.

entityRecognizerMetadata_numberOfTestDocuments :: Lens' EntityRecognizerMetadata (Maybe Int) Source #

The number of documents in the input data that were used to test the entity recognizer. Typically this is 10 to 20 percent of the input documents.