{-# 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.Rekognition.Types.EvaluationResult
-- 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.Rekognition.Types.EvaluationResult where

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
import Amazonka.Rekognition.Types.Summary

-- | The evaluation results for the training of a model.
--
-- /See:/ 'newEvaluationResult' smart constructor.
data EvaluationResult = EvaluationResult'
  { -- | The F1 score for the evaluation of all labels. The F1 score metric
    -- evaluates the overall precision and recall performance of the model as a
    -- single value. A higher value indicates better precision and recall
    -- performance. A lower score indicates that precision, recall, or both are
    -- performing poorly.
    EvaluationResult -> Maybe Double
f1Score :: Prelude.Maybe Prelude.Double,
    -- | The S3 bucket that contains the training summary.
    EvaluationResult -> Maybe Summary
summary :: Prelude.Maybe Summary
  }
  deriving (EvaluationResult -> EvaluationResult -> Bool
forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a
/= :: EvaluationResult -> EvaluationResult -> Bool
$c/= :: EvaluationResult -> EvaluationResult -> Bool
== :: EvaluationResult -> EvaluationResult -> Bool
$c== :: EvaluationResult -> EvaluationResult -> Bool
Prelude.Eq, ReadPrec [EvaluationResult]
ReadPrec EvaluationResult
Int -> ReadS EvaluationResult
ReadS [EvaluationResult]
forall a.
(Int -> ReadS a)
-> ReadS [a] -> ReadPrec a -> ReadPrec [a] -> Read a
readListPrec :: ReadPrec [EvaluationResult]
$creadListPrec :: ReadPrec [EvaluationResult]
readPrec :: ReadPrec EvaluationResult
$creadPrec :: ReadPrec EvaluationResult
readList :: ReadS [EvaluationResult]
$creadList :: ReadS [EvaluationResult]
readsPrec :: Int -> ReadS EvaluationResult
$creadsPrec :: Int -> ReadS EvaluationResult
Prelude.Read, Int -> EvaluationResult -> ShowS
[EvaluationResult] -> ShowS
EvaluationResult -> String
forall a.
(Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a
showList :: [EvaluationResult] -> ShowS
$cshowList :: [EvaluationResult] -> ShowS
show :: EvaluationResult -> String
$cshow :: EvaluationResult -> String
showsPrec :: Int -> EvaluationResult -> ShowS
$cshowsPrec :: Int -> EvaluationResult -> ShowS
Prelude.Show, forall x. Rep EvaluationResult x -> EvaluationResult
forall x. EvaluationResult -> Rep EvaluationResult x
forall a.
(forall x. a -> Rep a x) -> (forall x. Rep a x -> a) -> Generic a
$cto :: forall x. Rep EvaluationResult x -> EvaluationResult
$cfrom :: forall x. EvaluationResult -> Rep EvaluationResult x
Prelude.Generic)

-- |
-- Create a value of 'EvaluationResult' 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:
--
-- 'f1Score', 'evaluationResult_f1Score' - The F1 score for the evaluation of all labels. The F1 score metric
-- evaluates the overall precision and recall performance of the model as a
-- single value. A higher value indicates better precision and recall
-- performance. A lower score indicates that precision, recall, or both are
-- performing poorly.
--
-- 'summary', 'evaluationResult_summary' - The S3 bucket that contains the training summary.
newEvaluationResult ::
  EvaluationResult
newEvaluationResult :: EvaluationResult
newEvaluationResult =
  EvaluationResult'
    { $sel:f1Score:EvaluationResult' :: Maybe Double
f1Score = forall a. Maybe a
Prelude.Nothing,
      $sel:summary:EvaluationResult' :: Maybe Summary
summary = forall a. Maybe a
Prelude.Nothing
    }

-- | The F1 score for the evaluation of all labels. The F1 score metric
-- evaluates the overall precision and recall performance of the model as a
-- single value. A higher value indicates better precision and recall
-- performance. A lower score indicates that precision, recall, or both are
-- performing poorly.
evaluationResult_f1Score :: Lens.Lens' EvaluationResult (Prelude.Maybe Prelude.Double)
evaluationResult_f1Score :: Lens' EvaluationResult (Maybe Double)
evaluationResult_f1Score = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\EvaluationResult' {Maybe Double
f1Score :: Maybe Double
$sel:f1Score:EvaluationResult' :: EvaluationResult -> Maybe Double
f1Score} -> Maybe Double
f1Score) (\s :: EvaluationResult
s@EvaluationResult' {} Maybe Double
a -> EvaluationResult
s {$sel:f1Score:EvaluationResult' :: Maybe Double
f1Score = Maybe Double
a} :: EvaluationResult)

-- | The S3 bucket that contains the training summary.
evaluationResult_summary :: Lens.Lens' EvaluationResult (Prelude.Maybe Summary)
evaluationResult_summary :: Lens' EvaluationResult (Maybe Summary)
evaluationResult_summary = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b
Lens.lens (\EvaluationResult' {Maybe Summary
summary :: Maybe Summary
$sel:summary:EvaluationResult' :: EvaluationResult -> Maybe Summary
summary} -> Maybe Summary
summary) (\s :: EvaluationResult
s@EvaluationResult' {} Maybe Summary
a -> EvaluationResult
s {$sel:summary:EvaluationResult' :: Maybe Summary
summary = Maybe Summary
a} :: EvaluationResult)

instance Data.FromJSON EvaluationResult where
  parseJSON :: Value -> Parser EvaluationResult
parseJSON =
    forall a. String -> (Object -> Parser a) -> Value -> Parser a
Data.withObject
      String
"EvaluationResult"
      ( \Object
x ->
          Maybe Double -> Maybe Summary -> EvaluationResult
EvaluationResult'
            forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b
Prelude.<$> (Object
x forall a. FromJSON a => Object -> Key -> Parser (Maybe a)
Data..:? Key
"F1Score")
            forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b
Prelude.<*> (Object
x forall a. FromJSON a => Object -> Key -> Parser (Maybe a)
Data..:? Key
"Summary")
      )

instance Prelude.Hashable EvaluationResult where
  hashWithSalt :: Int -> EvaluationResult -> Int
hashWithSalt Int
_salt EvaluationResult' {Maybe Double
Maybe Summary
summary :: Maybe Summary
f1Score :: Maybe Double
$sel:summary:EvaluationResult' :: EvaluationResult -> Maybe Summary
$sel:f1Score:EvaluationResult' :: EvaluationResult -> Maybe Double
..} =
    Int
_salt
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe Double
f1Score
      forall a. Hashable a => Int -> a -> Int
`Prelude.hashWithSalt` Maybe Summary
summary

instance Prelude.NFData EvaluationResult where
  rnf :: EvaluationResult -> ()
rnf EvaluationResult' {Maybe Double
Maybe Summary
summary :: Maybe Summary
f1Score :: Maybe Double
$sel:summary:EvaluationResult' :: EvaluationResult -> Maybe Summary
$sel:f1Score:EvaluationResult' :: EvaluationResult -> Maybe Double
..} =
    forall a. NFData a => a -> ()
Prelude.rnf Maybe Double
f1Score
      seq :: forall a b. a -> b -> b
`Prelude.seq` forall a. NFData a => a -> ()
Prelude.rnf Maybe Summary
summary