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.PersonalizeRuntime.Types.PredictedItem

Description

Synopsis

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

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 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. itemId :: Maybe Text The recommended item ID.

Instances

Instances details

Eq PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods (==) :: PredictedItem -> PredictedItem -> Bool # (/=) :: PredictedItem -> PredictedItem -> Bool #
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 #
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 #
NFData PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods rnf :: PredictedItem -> () #
Hashable PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods hashWithSalt :: Int -> PredictedItem -> Int # hash :: PredictedItem -> Int #
FromJSON PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem Methods parseJSON :: Value -> Parser PredictedItem # parseJSONList :: Value -> Parser [PredictedItem] #
type Rep PredictedItem Source #
Instance details Defined in Amazonka.PersonalizeRuntime.Types.PredictedItem type Rep PredictedItem = D1 ('MetaData "PredictedItem" "Amazonka.PersonalizeRuntime.Types.PredictedItem" "libZSservicesZSamazonka-personalize-runtimeZSamazonka-personalize-runtime" 'False) (C1 ('MetaCons "PredictedItem'" 'PrefixI 'True) (S1 ('MetaSel ('Just "score") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "itemId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

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: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.

$sel:itemId:PredictedItem', predictedItem_itemId - The recommended item ID.

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.

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

The recommended item ID.