Amazonka.LookoutVision.Types.ModelPerformance

Documentation

data ModelPerformance

Information about the evaluation performance of a trained model.

See: newModelPerformance smart constructor.

Constructors

ModelPerformance'

Fields

• f1Score :: Maybe Double

  The overall F1 score metric for the trained model.

• precision :: Maybe Double

  The overall precision metric value for the trained model.

• recall :: Maybe Double

  The overall recall metric value for the trained model.

Instances

FromJSON ModelPerformance

Defined in Amazonka.LookoutVision.Types.ModelPerformance

Methods

parseJSON :: Value -> Parser ModelPerformance

parseJSONList :: Value -> Parser [ModelPerformance]

Generic ModelPerformance

Defined in Amazonka.LookoutVision.Types.ModelPerformance

Associated Types

type Rep ModelPerformance :: Type -> Type

Methods

from :: ModelPerformance -> Rep ModelPerformance x

to :: Rep ModelPerformance x -> ModelPerformance

Read ModelPerformance

Defined in Amazonka.LookoutVision.Types.ModelPerformance

Methods

readsPrec :: Int -> ReadS ModelPerformance

readList :: ReadS [ModelPerformance]

readPrec :: ReadPrec ModelPerformance

readListPrec :: ReadPrec [ModelPerformance]

Show ModelPerformance

Defined in Amazonka.LookoutVision.Types.ModelPerformance

Methods

showsPrec :: Int -> ModelPerformance -> ShowS

show :: ModelPerformance -> String

showList :: [ModelPerformance] -> ShowS

NFData ModelPerformance

Defined in Amazonka.LookoutVision.Types.ModelPerformance

Methods

rnf :: ModelPerformance -> ()

Eq ModelPerformance

Defined in Amazonka.LookoutVision.Types.ModelPerformance

Methods

(==) :: ModelPerformance -> ModelPerformance -> Bool

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

Hashable ModelPerformance

Defined in Amazonka.LookoutVision.Types.ModelPerformance

Methods

hashWithSalt :: Int -> ModelPerformance -> Int

hash :: ModelPerformance -> Int

type Rep ModelPerformance

Defined in Amazonka.LookoutVision.Types.ModelPerformance

type Rep ModelPerformance = D1 ('MetaData "ModelPerformance" "Amazonka.LookoutVision.Types.ModelPerformance" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ModelPerformance'" 'PrefixI 'True) (S1 ('MetaSel ('Just "f1Score") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: (S1 ('MetaSel ('Just "precision") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "recall") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newModelPerformance :: ModelPerformance

Create a value of ModelPerformance 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:f1Score:ModelPerformance', modelPerformance_f1Score - The overall F1 score metric for the trained model.

$sel:precision:ModelPerformance', modelPerformance_precision - The overall precision metric value for the trained model.

$sel:recall:ModelPerformance', modelPerformance_recall - The overall recall metric value for the trained model.

modelPerformance_f1Score :: Lens' ModelPerformance (Maybe Double)

The overall F1 score metric for the trained model.

modelPerformance_precision :: Lens' ModelPerformance (Maybe Double)

The overall precision metric value for the trained model.

modelPerformance_recall :: Lens' ModelPerformance (Maybe Double)

The overall recall metric value for the trained model.