{-# 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.Personalize.Types.SolutionConfig
-- 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.Personalize.Types.SolutionConfig where

import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import Amazonka.Personalize.Types.AutoMLConfig
import Amazonka.Personalize.Types.HPOConfig
import Amazonka.Personalize.Types.OptimizationObjective
import qualified Amazonka.Prelude as Prelude

-- | Describes the configuration properties for the solution.
--
-- /See:/ 'newSolutionConfig' smart constructor.
data SolutionConfig = SolutionConfig'
  { -- | Lists the hyperparameter names and ranges.
    algorithmHyperParameters :: Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text),
    -- | The
    -- <https://docs.aws.amazon.com/personalize/latest/dg/API_AutoMLConfig.html AutoMLConfig>
    -- object containing a list of recipes to search when AutoML is performed.
    autoMLConfig :: Prelude.Maybe AutoMLConfig,
    -- | Only events with a value greater than or equal to this threshold are
    -- used for training a model.
    eventValueThreshold :: Prelude.Maybe Prelude.Text,
    -- | Lists the feature transformation parameters.
    featureTransformationParameters :: Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text),
    -- | Describes the properties for hyperparameter optimization (HPO).
    hpoConfig :: Prelude.Maybe HPOConfig,
    -- | Describes the additional objective for the solution, such as maximizing
    -- streaming minutes or increasing revenue. For more information see
    -- <https://docs.aws.amazon.com/personalize/latest/dg/optimizing-solution-for-objective.html Optimizing a solution>.
    optimizationObjective :: Prelude.Maybe OptimizationObjective
  }
  deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)

-- |
-- Create a value of 'SolutionConfig' 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:
--
-- 'algorithmHyperParameters', 'solutionConfig_algorithmHyperParameters' - Lists the hyperparameter names and ranges.
--
-- 'autoMLConfig', 'solutionConfig_autoMLConfig' - The
-- <https://docs.aws.amazon.com/personalize/latest/dg/API_AutoMLConfig.html AutoMLConfig>
-- object containing a list of recipes to search when AutoML is performed.
--
-- 'eventValueThreshold', 'solutionConfig_eventValueThreshold' - Only events with a value greater than or equal to this threshold are
-- used for training a model.
--
-- 'featureTransformationParameters', 'solutionConfig_featureTransformationParameters' - Lists the feature transformation parameters.
--
-- 'hpoConfig', 'solutionConfig_hpoConfig' - Describes the properties for hyperparameter optimization (HPO).
--
-- 'optimizationObjective', 'solutionConfig_optimizationObjective' - Describes the additional objective for the solution, such as maximizing
-- streaming minutes or increasing revenue. For more information see
-- <https://docs.aws.amazon.com/personalize/latest/dg/optimizing-solution-for-objective.html Optimizing a solution>.
newSolutionConfig ::
  SolutionConfig
newSolutionConfig =
  SolutionConfig'
    { algorithmHyperParameters =
        Prelude.Nothing,
      autoMLConfig = Prelude.Nothing,
      eventValueThreshold = Prelude.Nothing,
      featureTransformationParameters = Prelude.Nothing,
      hpoConfig = Prelude.Nothing,
      optimizationObjective = Prelude.Nothing
    }

-- | Lists the hyperparameter names and ranges.
solutionConfig_algorithmHyperParameters :: Lens.Lens' SolutionConfig (Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text))
solutionConfig_algorithmHyperParameters = Lens.lens (\SolutionConfig' {algorithmHyperParameters} -> algorithmHyperParameters) (\s@SolutionConfig' {} a -> s {algorithmHyperParameters = a} :: SolutionConfig) Prelude.. Lens.mapping Lens.coerced

-- | The
-- <https://docs.aws.amazon.com/personalize/latest/dg/API_AutoMLConfig.html AutoMLConfig>
-- object containing a list of recipes to search when AutoML is performed.
solutionConfig_autoMLConfig :: Lens.Lens' SolutionConfig (Prelude.Maybe AutoMLConfig)
solutionConfig_autoMLConfig = Lens.lens (\SolutionConfig' {autoMLConfig} -> autoMLConfig) (\s@SolutionConfig' {} a -> s {autoMLConfig = a} :: SolutionConfig)

-- | Only events with a value greater than or equal to this threshold are
-- used for training a model.
solutionConfig_eventValueThreshold :: Lens.Lens' SolutionConfig (Prelude.Maybe Prelude.Text)
solutionConfig_eventValueThreshold = Lens.lens (\SolutionConfig' {eventValueThreshold} -> eventValueThreshold) (\s@SolutionConfig' {} a -> s {eventValueThreshold = a} :: SolutionConfig)

-- | Lists the feature transformation parameters.
solutionConfig_featureTransformationParameters :: Lens.Lens' SolutionConfig (Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text))
solutionConfig_featureTransformationParameters = Lens.lens (\SolutionConfig' {featureTransformationParameters} -> featureTransformationParameters) (\s@SolutionConfig' {} a -> s {featureTransformationParameters = a} :: SolutionConfig) Prelude.. Lens.mapping Lens.coerced

-- | Describes the properties for hyperparameter optimization (HPO).
solutionConfig_hpoConfig :: Lens.Lens' SolutionConfig (Prelude.Maybe HPOConfig)
solutionConfig_hpoConfig = Lens.lens (\SolutionConfig' {hpoConfig} -> hpoConfig) (\s@SolutionConfig' {} a -> s {hpoConfig = a} :: SolutionConfig)

-- | Describes the additional objective for the solution, such as maximizing
-- streaming minutes or increasing revenue. For more information see
-- <https://docs.aws.amazon.com/personalize/latest/dg/optimizing-solution-for-objective.html Optimizing a solution>.
solutionConfig_optimizationObjective :: Lens.Lens' SolutionConfig (Prelude.Maybe OptimizationObjective)
solutionConfig_optimizationObjective = Lens.lens (\SolutionConfig' {optimizationObjective} -> optimizationObjective) (\s@SolutionConfig' {} a -> s {optimizationObjective = a} :: SolutionConfig)

instance Data.FromJSON SolutionConfig where
  parseJSON =
    Data.withObject
      "SolutionConfig"
      ( \x ->
          SolutionConfig'
            Prelude.<$> ( x
                            Data..:? "algorithmHyperParameters"
                            Data..!= Prelude.mempty
                        )
            Prelude.<*> (x Data..:? "autoMLConfig")
            Prelude.<*> (x Data..:? "eventValueThreshold")
            Prelude.<*> ( x
                            Data..:? "featureTransformationParameters"
                            Data..!= Prelude.mempty
                        )
            Prelude.<*> (x Data..:? "hpoConfig")
            Prelude.<*> (x Data..:? "optimizationObjective")
      )

instance Prelude.Hashable SolutionConfig where
  hashWithSalt _salt SolutionConfig' {..} =
    _salt
      `Prelude.hashWithSalt` algorithmHyperParameters
      `Prelude.hashWithSalt` autoMLConfig
      `Prelude.hashWithSalt` eventValueThreshold
      `Prelude.hashWithSalt` featureTransformationParameters
      `Prelude.hashWithSalt` hpoConfig
      `Prelude.hashWithSalt` optimizationObjective

instance Prelude.NFData SolutionConfig where
  rnf SolutionConfig' {..} =
    Prelude.rnf algorithmHyperParameters
      `Prelude.seq` Prelude.rnf autoMLConfig
      `Prelude.seq` Prelude.rnf eventValueThreshold
      `Prelude.seq` Prelude.rnf featureTransformationParameters
      `Prelude.seq` Prelude.rnf hpoConfig
      `Prelude.seq` Prelude.rnf optimizationObjective

instance Data.ToJSON SolutionConfig where
  toJSON SolutionConfig' {..} =
    Data.object
      ( Prelude.catMaybes
          [ ("algorithmHyperParameters" Data..=)
              Prelude.<$> algorithmHyperParameters,
            ("autoMLConfig" Data..=) Prelude.<$> autoMLConfig,
            ("eventValueThreshold" Data..=)
              Prelude.<$> eventValueThreshold,
            ("featureTransformationParameters" Data..=)
              Prelude.<$> featureTransformationParameters,
            ("hpoConfig" Data..=) Prelude.<$> hpoConfig,
            ("optimizationObjective" Data..=)
              Prelude.<$> optimizationObjective
          ]
      )