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.MachineLearning.Types.Prediction

Description

Synopsis

Documentation

data Prediction Source #

The output from a Predict operation:

Details - Contains the following attributes: DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS DetailsAttributes.ALGORITHM - SGD
PredictedLabel - Present for either a BINARY or MULTICLASS MLModel request.
PredictedScores - Contains the raw classification score corresponding to each label.
PredictedValue - Present for a REGRESSION MLModel request.

See: newPrediction smart constructor.

Constructors

Prediction'
Fields details :: Maybe (HashMap DetailsAttributes Text) predictedLabel :: Maybe Text The prediction label for either a `BINARY` or `MULTICLASS` `MLModel`. predictedScores :: Maybe (HashMap Text Double) predictedValue :: Maybe Double The prediction value for `REGRESSION` `MLModel`.

Instances

Instances details

FromJSON Prediction Source #
Instance details Defined in Amazonka.MachineLearning.Types.Prediction Methods parseJSON :: Value -> Parser Prediction # parseJSONList :: Value -> Parser [Prediction] #
Generic Prediction Source #
Instance details Defined in Amazonka.MachineLearning.Types.Prediction Associated Types type Rep Prediction :: Type -> Type # Methods from :: Prediction -> Rep Prediction x # to :: Rep Prediction x -> Prediction #
Read Prediction Source #
Instance details Defined in Amazonka.MachineLearning.Types.Prediction Methods readsPrec :: Int -> ReadS Prediction # readList :: ReadS [Prediction] # readPrec :: ReadPrec Prediction # readListPrec :: ReadPrec [Prediction] #
Show Prediction Source #
Instance details Defined in Amazonka.MachineLearning.Types.Prediction Methods showsPrec :: Int -> Prediction -> ShowS # show :: Prediction -> String # showList :: [Prediction] -> ShowS #
NFData Prediction Source #
Instance details Defined in Amazonka.MachineLearning.Types.Prediction Methods rnf :: Prediction -> () #
Eq Prediction Source #
Instance details Defined in Amazonka.MachineLearning.Types.Prediction Methods (==) :: Prediction -> Prediction -> Bool # (/=) :: Prediction -> Prediction -> Bool #
Hashable Prediction Source #
Instance details Defined in Amazonka.MachineLearning.Types.Prediction Methods hashWithSalt :: Int -> Prediction -> Int # hash :: Prediction -> Int #
type Rep Prediction Source #
Instance details Defined in Amazonka.MachineLearning.Types.Prediction type Rep Prediction = D1 ('MetaData "Prediction" "Amazonka.MachineLearning.Types.Prediction" "amazonka-ml-2.0-A3JLJ63WvmfHxGBBIqhdRA" 'False) (C1 ('MetaCons "Prediction'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "details") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap DetailsAttributes Text))) :: S1 ('MetaSel ('Just "predictedLabel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "predictedScores") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Double))) :*: S1 ('MetaSel ('Just "predictedValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newPrediction :: Prediction Source #

Create a value of Prediction 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:details:Prediction', prediction_details - Undocumented member.

$sel:predictedLabel:Prediction', prediction_predictedLabel - The prediction label for either a BINARY or MULTICLASS MLModel.

$sel:predictedScores:Prediction', prediction_predictedScores - Undocumented member.

$sel:predictedValue:Prediction', prediction_predictedValue - The prediction value for REGRESSION MLModel.

prediction_details :: Lens' Prediction (Maybe (HashMap DetailsAttributes Text)) Source #

Undocumented member.

prediction_predictedLabel :: Lens' Prediction (Maybe Text) Source #

The prediction label for either a BINARY or MULTICLASS MLModel.

prediction_predictedScores :: Lens' Prediction (Maybe (HashMap Text Double)) Source #

Undocumented member.

prediction_predictedValue :: Lens' Prediction (Maybe Double) Source #

The prediction value for REGRESSION MLModel.