amazonka-ml-2.0: gen/Amazonka/MachineLearning/Types/Prediction.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.MachineLearning.Types.Prediction
-- 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.MachineLearning.Types.Prediction where
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import Amazonka.MachineLearning.Types.DetailsAttributes
import qualified Amazonka.Prelude as Prelude
-- | The output from a @Predict@ operation:
--
-- - @Details@ - Contains the following attributes:
-- @DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS@
-- @DetailsAttributes.ALGORITHM - SGD@
--
-- - @PredictedLabel@ - Present for either a @BINARY@ or @MULTICLASS@
-- @MLModel@ request.
--
-- - @PredictedScores@ - Contains the raw classification score
-- corresponding to each label.
--
-- - @PredictedValue@ - Present for a @REGRESSION@ @MLModel@ request.
--
-- /See:/ 'newPrediction' smart constructor.
data Prediction = Prediction'
{ details :: Prelude.Maybe (Prelude.HashMap DetailsAttributes Prelude.Text),
-- | The prediction label for either a @BINARY@ or @MULTICLASS@ @MLModel@.
predictedLabel :: Prelude.Maybe Prelude.Text,
predictedScores :: Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Double),
-- | The prediction value for @REGRESSION@ @MLModel@.
predictedValue :: Prelude.Maybe Prelude.Double
}
deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'Prediction' 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:
--
-- 'details', 'prediction_details' - Undocumented member.
--
-- 'predictedLabel', 'prediction_predictedLabel' - The prediction label for either a @BINARY@ or @MULTICLASS@ @MLModel@.
--
-- 'predictedScores', 'prediction_predictedScores' - Undocumented member.
--
-- 'predictedValue', 'prediction_predictedValue' - The prediction value for @REGRESSION@ @MLModel@.
newPrediction ::
Prediction
newPrediction =
Prediction'
{ details = Prelude.Nothing,
predictedLabel = Prelude.Nothing,
predictedScores = Prelude.Nothing,
predictedValue = Prelude.Nothing
}
-- | Undocumented member.
prediction_details :: Lens.Lens' Prediction (Prelude.Maybe (Prelude.HashMap DetailsAttributes Prelude.Text))
prediction_details = Lens.lens (\Prediction' {details} -> details) (\s@Prediction' {} a -> s {details = a} :: Prediction) Prelude.. Lens.mapping Lens.coerced
-- | The prediction label for either a @BINARY@ or @MULTICLASS@ @MLModel@.
prediction_predictedLabel :: Lens.Lens' Prediction (Prelude.Maybe Prelude.Text)
prediction_predictedLabel = Lens.lens (\Prediction' {predictedLabel} -> predictedLabel) (\s@Prediction' {} a -> s {predictedLabel = a} :: Prediction)
-- | Undocumented member.
prediction_predictedScores :: Lens.Lens' Prediction (Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Double))
prediction_predictedScores = Lens.lens (\Prediction' {predictedScores} -> predictedScores) (\s@Prediction' {} a -> s {predictedScores = a} :: Prediction) Prelude.. Lens.mapping Lens.coerced
-- | The prediction value for @REGRESSION@ @MLModel@.
prediction_predictedValue :: Lens.Lens' Prediction (Prelude.Maybe Prelude.Double)
prediction_predictedValue = Lens.lens (\Prediction' {predictedValue} -> predictedValue) (\s@Prediction' {} a -> s {predictedValue = a} :: Prediction)
instance Data.FromJSON Prediction where
parseJSON =
Data.withObject
"Prediction"
( \x ->
Prediction'
Prelude.<$> (x Data..:? "details" Data..!= Prelude.mempty)
Prelude.<*> (x Data..:? "predictedLabel")
Prelude.<*> ( x
Data..:? "predictedScores"
Data..!= Prelude.mempty
)
Prelude.<*> (x Data..:? "predictedValue")
)
instance Prelude.Hashable Prediction where
hashWithSalt _salt Prediction' {..} =
_salt
`Prelude.hashWithSalt` details
`Prelude.hashWithSalt` predictedLabel
`Prelude.hashWithSalt` predictedScores
`Prelude.hashWithSalt` predictedValue
instance Prelude.NFData Prediction where
rnf Prediction' {..} =
Prelude.rnf details
`Prelude.seq` Prelude.rnf predictedLabel
`Prelude.seq` Prelude.rnf predictedScores
`Prelude.seq` Prelude.rnf predictedValue