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.Personalize.Types.AutoMLConfig

Description

Synopsis

data AutoMLConfig = AutoMLConfig' {
- recipeList :: Maybe [Text]
- metricName :: Maybe Text
}
newAutoMLConfig :: AutoMLConfig
autoMLConfig_recipeList :: Lens' AutoMLConfig (Maybe [Text])
autoMLConfig_metricName :: Lens' AutoMLConfig (Maybe Text)

Documentation

data AutoMLConfig Source #

When the solution performs AutoML (performAutoML is true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric. Amazon Personalize then uses that recipe for the solution.

See: newAutoMLConfig smart constructor.

Constructors

AutoMLConfig'
Fields recipeList :: Maybe [Text] The list of candidate recipes. metricName :: Maybe Text The metric to optimize.

Instances

Instances details

Eq AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods (==) :: AutoMLConfig -> AutoMLConfig -> Bool # (/=) :: AutoMLConfig -> AutoMLConfig -> Bool #
Read AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods readsPrec :: Int -> ReadS AutoMLConfig # readList :: ReadS [AutoMLConfig] # readPrec :: ReadPrec AutoMLConfig # readListPrec :: ReadPrec [AutoMLConfig] #
Show AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods showsPrec :: Int -> AutoMLConfig -> ShowS # show :: AutoMLConfig -> String # showList :: [AutoMLConfig] -> ShowS #
Generic AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Associated Types type Rep AutoMLConfig :: Type -> Type # Methods from :: AutoMLConfig -> Rep AutoMLConfig x # to :: Rep AutoMLConfig x -> AutoMLConfig #
NFData AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods rnf :: AutoMLConfig -> () #
Hashable AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods hashWithSalt :: Int -> AutoMLConfig -> Int # hash :: AutoMLConfig -> Int #
ToJSON AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods toJSON :: AutoMLConfig -> Value # toEncoding :: AutoMLConfig -> Encoding # toJSONList :: [AutoMLConfig] -> Value # toEncodingList :: [AutoMLConfig] -> Encoding #
FromJSON AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig Methods parseJSON :: Value -> Parser AutoMLConfig # parseJSONList :: Value -> Parser [AutoMLConfig] #
type Rep AutoMLConfig Source #
Instance details Defined in Amazonka.Personalize.Types.AutoMLConfig type Rep AutoMLConfig = D1 ('MetaData "AutoMLConfig" "Amazonka.Personalize.Types.AutoMLConfig" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "AutoMLConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "recipeList") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLConfig :: AutoMLConfig Source #

Create a value of AutoMLConfig 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:recipeList:AutoMLConfig', autoMLConfig_recipeList - The list of candidate recipes.

$sel:metricName:AutoMLConfig', autoMLConfig_metricName - The metric to optimize.

autoMLConfig_recipeList :: Lens' AutoMLConfig (Maybe [Text]) Source #

The list of candidate recipes.

autoMLConfig_metricName :: Lens' AutoMLConfig (Maybe Text) Source #

The metric to optimize.