amazonka-comprehend-2.0: gen/Amazonka/Comprehend/Types/EntityRecognizerMetadata.hs
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}
-- Derived from AWS service descriptions, licensed under Apache 2.0.
-- |
-- Module : Amazonka.Comprehend.Types.EntityRecognizerMetadata
-- Copyright : (c) 2013-2023 Brendan Hay
-- License : Mozilla Public License, v. 2.0.
-- Maintainer : Brendan Hay
-- Stability : auto-generated
-- Portability : non-portable (GHC extensions)
module Amazonka.Comprehend.Types.EntityRecognizerMetadata where
import Amazonka.Comprehend.Types.EntityRecognizerEvaluationMetrics
import Amazonka.Comprehend.Types.EntityRecognizerMetadataEntityTypesListItem
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import qualified Amazonka.Prelude as Prelude
-- | Detailed information about an entity recognizer.
--
-- /See:/ 'newEntityRecognizerMetadata' smart constructor.
data EntityRecognizerMetadata = EntityRecognizerMetadata'
{ -- | Entity types from the metadata of an entity recognizer.
entityTypes :: Prelude.Maybe [EntityRecognizerMetadataEntityTypesListItem],
-- | Detailed information about the accuracy of an entity recognizer.
evaluationMetrics :: Prelude.Maybe EntityRecognizerEvaluationMetrics,
-- | 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.
numberOfTestDocuments :: Prelude.Maybe Prelude.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.
numberOfTrainedDocuments :: Prelude.Maybe Prelude.Int
}
deriving (Prelude.Eq, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'EntityRecognizerMetadata' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'entityTypes', 'entityRecognizerMetadata_entityTypes' - Entity types from the metadata of an entity recognizer.
--
-- 'evaluationMetrics', 'entityRecognizerMetadata_evaluationMetrics' - Detailed information about the accuracy of an entity recognizer.
--
-- 'numberOfTestDocuments', '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.
--
-- 'numberOfTrainedDocuments', '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.
newEntityRecognizerMetadata ::
EntityRecognizerMetadata
newEntityRecognizerMetadata =
EntityRecognizerMetadata'
{ entityTypes =
Prelude.Nothing,
evaluationMetrics = Prelude.Nothing,
numberOfTestDocuments = Prelude.Nothing,
numberOfTrainedDocuments = Prelude.Nothing
}
-- | Entity types from the metadata of an entity recognizer.
entityRecognizerMetadata_entityTypes :: Lens.Lens' EntityRecognizerMetadata (Prelude.Maybe [EntityRecognizerMetadataEntityTypesListItem])
entityRecognizerMetadata_entityTypes = Lens.lens (\EntityRecognizerMetadata' {entityTypes} -> entityTypes) (\s@EntityRecognizerMetadata' {} a -> s {entityTypes = a} :: EntityRecognizerMetadata) Prelude.. Lens.mapping Lens.coerced
-- | Detailed information about the accuracy of an entity recognizer.
entityRecognizerMetadata_evaluationMetrics :: Lens.Lens' EntityRecognizerMetadata (Prelude.Maybe EntityRecognizerEvaluationMetrics)
entityRecognizerMetadata_evaluationMetrics = Lens.lens (\EntityRecognizerMetadata' {evaluationMetrics} -> evaluationMetrics) (\s@EntityRecognizerMetadata' {} a -> s {evaluationMetrics = a} :: EntityRecognizerMetadata)
-- | 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_numberOfTestDocuments :: Lens.Lens' EntityRecognizerMetadata (Prelude.Maybe Prelude.Int)
entityRecognizerMetadata_numberOfTestDocuments = Lens.lens (\EntityRecognizerMetadata' {numberOfTestDocuments} -> numberOfTestDocuments) (\s@EntityRecognizerMetadata' {} a -> s {numberOfTestDocuments = a} :: EntityRecognizerMetadata)
-- | 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_numberOfTrainedDocuments :: Lens.Lens' EntityRecognizerMetadata (Prelude.Maybe Prelude.Int)
entityRecognizerMetadata_numberOfTrainedDocuments = Lens.lens (\EntityRecognizerMetadata' {numberOfTrainedDocuments} -> numberOfTrainedDocuments) (\s@EntityRecognizerMetadata' {} a -> s {numberOfTrainedDocuments = a} :: EntityRecognizerMetadata)
instance Data.FromJSON EntityRecognizerMetadata where
parseJSON =
Data.withObject
"EntityRecognizerMetadata"
( \x ->
EntityRecognizerMetadata'
Prelude.<$> (x Data..:? "EntityTypes" Data..!= Prelude.mempty)
Prelude.<*> (x Data..:? "EvaluationMetrics")
Prelude.<*> (x Data..:? "NumberOfTestDocuments")
Prelude.<*> (x Data..:? "NumberOfTrainedDocuments")
)
instance Prelude.Hashable EntityRecognizerMetadata where
hashWithSalt _salt EntityRecognizerMetadata' {..} =
_salt
`Prelude.hashWithSalt` entityTypes
`Prelude.hashWithSalt` evaluationMetrics
`Prelude.hashWithSalt` numberOfTestDocuments
`Prelude.hashWithSalt` numberOfTrainedDocuments
instance Prelude.NFData EntityRecognizerMetadata where
rnf EntityRecognizerMetadata' {..} =
Prelude.rnf entityTypes
`Prelude.seq` Prelude.rnf evaluationMetrics
`Prelude.seq` Prelude.rnf numberOfTestDocuments
`Prelude.seq` Prelude.rnf numberOfTrainedDocuments