Amazonka.FraudDetector.Types.TrainingResult

Documentation

data TrainingResult

The training result details.

See: newTrainingResult smart constructor.

Constructors

TrainingResult'

Fields

• dataValidationMetrics :: Maybe DataValidationMetrics

  The validation metrics.

• trainingMetrics :: Maybe TrainingMetrics

  The training metric details.

• variableImportanceMetrics :: Maybe VariableImportanceMetrics

  The variable importance metrics.

Instances

FromJSON TrainingResult

Defined in Amazonka.FraudDetector.Types.TrainingResult

Methods

parseJSON :: Value -> Parser TrainingResult

parseJSONList :: Value -> Parser [TrainingResult]

Generic TrainingResult

Defined in Amazonka.FraudDetector.Types.TrainingResult

Associated Types

type Rep TrainingResult :: Type -> Type

Methods

from :: TrainingResult -> Rep TrainingResult x

to :: Rep TrainingResult x -> TrainingResult

Read TrainingResult

Defined in Amazonka.FraudDetector.Types.TrainingResult

Methods

readsPrec :: Int -> ReadS TrainingResult

readList :: ReadS [TrainingResult]

readPrec :: ReadPrec TrainingResult

readListPrec :: ReadPrec [TrainingResult]

Show TrainingResult

Defined in Amazonka.FraudDetector.Types.TrainingResult

Methods

showsPrec :: Int -> TrainingResult -> ShowS

show :: TrainingResult -> String

showList :: [TrainingResult] -> ShowS

NFData TrainingResult

Defined in Amazonka.FraudDetector.Types.TrainingResult

Methods

rnf :: TrainingResult -> ()

Eq TrainingResult

Defined in Amazonka.FraudDetector.Types.TrainingResult

Methods

(==) :: TrainingResult -> TrainingResult -> Bool

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

Hashable TrainingResult

Defined in Amazonka.FraudDetector.Types.TrainingResult

Methods

hashWithSalt :: Int -> TrainingResult -> Int

hash :: TrainingResult -> Int

type Rep TrainingResult

Defined in Amazonka.FraudDetector.Types.TrainingResult

type Rep TrainingResult = D1 ('MetaData "TrainingResult" "Amazonka.FraudDetector.Types.TrainingResult" "amazonka-frauddetector-2.0-CdXFXtLV8DgKo4Kta7Jw61" 'False) (C1 ('MetaCons "TrainingResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataValidationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataValidationMetrics)) :*: (S1 ('MetaSel ('Just "trainingMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingMetrics)) :*: S1 ('MetaSel ('Just "variableImportanceMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VariableImportanceMetrics)))))

newTrainingResult :: TrainingResult

Create a value of TrainingResult 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:dataValidationMetrics:TrainingResult', trainingResult_dataValidationMetrics - The validation metrics.

$sel:trainingMetrics:TrainingResult', trainingResult_trainingMetrics - The training metric details.

$sel:variableImportanceMetrics:TrainingResult', trainingResult_variableImportanceMetrics - The variable importance metrics.

trainingResult_dataValidationMetrics :: Lens' TrainingResult (Maybe DataValidationMetrics)

The validation metrics.

trainingResult_trainingMetrics :: Lens' TrainingResult (Maybe TrainingMetrics)

The training metric details.

trainingResult_variableImportanceMetrics :: Lens' TrainingResult (Maybe VariableImportanceMetrics)

The variable importance metrics.