Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.PersonalizeRuntime.Types.PredictedItem

Description

Synopsis

data PredictedItem = PredictedItem' {
- itemId :: Maybe Text
- promotionName :: Maybe Text
- score :: Maybe Double
}
newPredictedItem :: PredictedItem
predictedItem_itemId :: Lens' PredictedItem (Maybe Text)
predictedItem_promotionName :: Lens' PredictedItem (Maybe Text)
predictedItem_score :: Lens' PredictedItem (Maybe Double)

Documentation

data PredictedItem Source #

An object that identifies an item.

The and APIs return a list of PredictedItems.

See: newPredictedItem smart constructor.

Constructors

PredictedItem'
Fields itemId :: Maybe Text The recommended item ID. promotionName :: Maybe Text The name of the promotion that included the predicted item. score :: Maybe Double A numeric representation of the model's certainty that the item will be the next user selection. For more information on scoring logic, see how-scores-work.

Instances

Instances details

FromJSON PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods parseJSON :: Value -> Parser PredictedItem # parseJSONList :: Value -> Parser [PredictedItem] #
Generic PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Associated Types type Rep PredictedItem :: Type -> Type # Methods from :: PredictedItem -> Rep PredictedItem x # to :: Rep PredictedItem x -> PredictedItem #
Read PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods readsPrec :: Int -> ReadS PredictedItem # readList :: ReadS [PredictedItem] # readPrec :: ReadPrec PredictedItem # readListPrec :: ReadPrec [PredictedItem] #
Show PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods showsPrec :: Int -> PredictedItem -> ShowS # show :: PredictedItem -> String # showList :: [PredictedItem] -> ShowS #
NFData PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods rnf :: PredictedItem -> () #
Eq PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods (==) :: PredictedItem -> PredictedItem -> Bool # (/=) :: PredictedItem -> PredictedItem -> Bool #
Hashable PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods hashWithSalt :: Int -> PredictedItem -> Int # hash :: PredictedItem -> Int #
type Rep PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem type Rep PredictedItem = D1 ('MetaData "PredictedItem" "Amazonka.PersonalizeRuntime.Types.PredictedItem" "amazonka-personalize-runtime-2.0-F3C1CsdiQVG5CxrVfC5dKS" 'False) (C1 ('MetaCons "PredictedItem'" 'PrefixI 'True) (S1 ('MetaSel ('Just "itemId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "promotionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "score") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newPredictedItem :: PredictedItem Source #

Create a value of PredictedItem 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:itemId:PredictedItem', predictedItem_itemId - The recommended item ID.

$sel:promotionName:PredictedItem', predictedItem_promotionName - The name of the promotion that included the predicted item.

$sel:score:PredictedItem', predictedItem_score - A numeric representation of the model's certainty that the item will be the next user selection. For more information on scoring logic, see how-scores-work.

predictedItem_itemId :: Lens' PredictedItem (Maybe Text) Source #

The recommended item ID.

predictedItem_promotionName :: Lens' PredictedItem (Maybe Text) Source #

The name of the promotion that included the predicted item.

predictedItem_score :: Lens' PredictedItem (Maybe Double) Source #

A numeric representation of the model's certainty that the item will be the next user selection. For more information on scoring logic, see how-scores-work.