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.SageMaker.Types.ModelMetrics

Description

Documentation

data ModelMetrics Source #

Contains metrics captured from a model.

See: newModelMetrics smart constructor.

Constructors

ModelMetrics'
Fields bias :: Maybe Bias Metrics that measure bais in a model. explainability :: Maybe Explainability Metrics that help explain a model. modelDataQuality :: Maybe ModelDataQuality Metrics that measure the quality of the input data for a model. modelQuality :: Maybe ModelQuality Metrics that measure the quality of a model.

Instances

Instances details

FromJSON ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods parseJSON :: Value -> Parser ModelMetrics # parseJSONList :: Value -> Parser [ModelMetrics] #
ToJSON ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods toJSON :: ModelMetrics -> Value # toEncoding :: ModelMetrics -> Encoding # toJSONList :: [ModelMetrics] -> Value # toEncodingList :: [ModelMetrics] -> Encoding #
Generic ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Associated Types type Rep ModelMetrics :: Type -> Type # Methods from :: ModelMetrics -> Rep ModelMetrics x # to :: Rep ModelMetrics x -> ModelMetrics #
Read ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods readsPrec :: Int -> ReadS ModelMetrics # readList :: ReadS [ModelMetrics] # readPrec :: ReadPrec ModelMetrics # readListPrec :: ReadPrec [ModelMetrics] #
Show ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods showsPrec :: Int -> ModelMetrics -> ShowS # show :: ModelMetrics -> String # showList :: [ModelMetrics] -> ShowS #
NFData ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods rnf :: ModelMetrics -> () #
Eq ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods (==) :: ModelMetrics -> ModelMetrics -> Bool # (/=) :: ModelMetrics -> ModelMetrics -> Bool #
Hashable ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods hashWithSalt :: Int -> ModelMetrics -> Int # hash :: ModelMetrics -> Int #
type Rep ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics type Rep ModelMetrics = D1 ('MetaData "ModelMetrics" "Amazonka.SageMaker.Types.ModelMetrics" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelMetrics'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "bias") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bias)) :: S1 ('MetaSel ('Just "explainability") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Explainability))) :: (S1 ('MetaSel ('Just "modelDataQuality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelDataQuality)) :*: S1 ('MetaSel ('Just "modelQuality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelQuality)))))

newModelMetrics :: ModelMetrics Source #

Create a value of ModelMetrics 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:bias:ModelMetrics', modelMetrics_bias - Metrics that measure bais in a model.

$sel:explainability:ModelMetrics', modelMetrics_explainability - Metrics that help explain a model.

$sel:modelDataQuality:ModelMetrics', modelMetrics_modelDataQuality - Metrics that measure the quality of the input data for a model.

$sel:modelQuality:ModelMetrics', modelMetrics_modelQuality - Metrics that measure the quality of a model.

modelMetrics_bias :: Lens' ModelMetrics (Maybe Bias) Source #

Metrics that measure bais in a model.

modelMetrics_explainability :: Lens' ModelMetrics (Maybe Explainability) Source #

Metrics that help explain a model.

modelMetrics_modelDataQuality :: Lens' ModelMetrics (Maybe ModelDataQuality) Source #

Metrics that measure the quality of the input data for a model.

modelMetrics_modelQuality :: Lens' ModelMetrics (Maybe ModelQuality) Source #

Metrics that measure the quality of a model.