Amazonka.MachineLearning.Types.Prediction

Documentation

data Prediction

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

FromJSON Prediction

Defined in Amazonka.MachineLearning.Types.Prediction

Methods

parseJSON :: Value -> Parser Prediction

parseJSONList :: Value -> Parser [Prediction]

Generic Prediction

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

Defined in Amazonka.MachineLearning.Types.Prediction

Methods

readsPrec :: Int -> ReadS Prediction

readList :: ReadS [Prediction]

readPrec :: ReadPrec Prediction

readListPrec :: ReadPrec [Prediction]

Show Prediction

Defined in Amazonka.MachineLearning.Types.Prediction

Methods

showsPrec :: Int -> Prediction -> ShowS

show :: Prediction -> String

showList :: [Prediction] -> ShowS

NFData Prediction

Defined in Amazonka.MachineLearning.Types.Prediction

Methods

rnf :: Prediction -> ()

Eq Prediction

Defined in Amazonka.MachineLearning.Types.Prediction

Methods

(==) :: Prediction -> Prediction -> Bool

(/=) :: Prediction -> Prediction -> Bool

Hashable Prediction

Defined in Amazonka.MachineLearning.Types.Prediction

Methods

hashWithSalt :: Int -> Prediction -> Int

hash :: Prediction -> Int

type Rep Prediction

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

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))

Undocumented member.

prediction_predictedLabel :: Lens' Prediction (Maybe Text)

The prediction label for either a BINARY or MULTICLASS MLModel.

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

Undocumented member.

prediction_predictedValue :: Lens' Prediction (Maybe Double)

The prediction value for REGRESSION MLModel.