Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.Glue.Types.EvaluationMetrics

Description

Synopsis

Documentation

data EvaluationMetrics Source #

Evaluation metrics provide an estimate of the quality of your machine learning transform.

See: newEvaluationMetrics smart constructor.

Constructors

EvaluationMetrics'
Fields findMatchesMetrics :: Maybe FindMatchesMetrics The evaluation metrics for the find matches algorithm. transformType :: TransformType The type of machine learning transform.

Instances

Instances details

Eq EvaluationMetrics Source #
Instance details Defined in Amazonka.Glue.Types.EvaluationMetrics Methods (==) :: EvaluationMetrics -> EvaluationMetrics -> Bool # (/=) :: EvaluationMetrics -> EvaluationMetrics -> Bool #
Read EvaluationMetrics Source #
Instance details Defined in Amazonka.Glue.Types.EvaluationMetrics Methods readsPrec :: Int -> ReadS EvaluationMetrics # readList :: ReadS [EvaluationMetrics] # readPrec :: ReadPrec EvaluationMetrics # readListPrec :: ReadPrec [EvaluationMetrics] #
Show EvaluationMetrics Source #
Instance details Defined in Amazonka.Glue.Types.EvaluationMetrics Methods showsPrec :: Int -> EvaluationMetrics -> ShowS # show :: EvaluationMetrics -> String # showList :: [EvaluationMetrics] -> ShowS #
Generic EvaluationMetrics Source #
Instance details Defined in Amazonka.Glue.Types.EvaluationMetrics Associated Types type Rep EvaluationMetrics :: Type -> Type # Methods from :: EvaluationMetrics -> Rep EvaluationMetrics x # to :: Rep EvaluationMetrics x -> EvaluationMetrics #
NFData EvaluationMetrics Source #
Instance details Defined in Amazonka.Glue.Types.EvaluationMetrics Methods rnf :: EvaluationMetrics -> () #
Hashable EvaluationMetrics Source #
Instance details Defined in Amazonka.Glue.Types.EvaluationMetrics Methods hashWithSalt :: Int -> EvaluationMetrics -> Int # hash :: EvaluationMetrics -> Int #
FromJSON EvaluationMetrics Source #
Instance details Defined in Amazonka.Glue.Types.EvaluationMetrics Methods parseJSON :: Value -> Parser EvaluationMetrics # parseJSONList :: Value -> Parser [EvaluationMetrics] #
type Rep EvaluationMetrics Source #
Instance details Defined in Amazonka.Glue.Types.EvaluationMetrics type Rep EvaluationMetrics = D1 ('MetaData "EvaluationMetrics" "Amazonka.Glue.Types.EvaluationMetrics" "libZSservicesZSamazonka-glueZSamazonka-glue" 'False) (C1 ('MetaCons "EvaluationMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "findMatchesMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FindMatchesMetrics)) :*: S1 ('MetaSel ('Just "transformType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformType)))

newEvaluationMetrics Source #

Arguments

:: TransformType	`$sel:transformType:EvaluationMetrics'`
-> EvaluationMetrics

Create a value of EvaluationMetrics 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:findMatchesMetrics:EvaluationMetrics', evaluationMetrics_findMatchesMetrics - The evaluation metrics for the find matches algorithm.

$sel:transformType:EvaluationMetrics', evaluationMetrics_transformType - The type of machine learning transform.

evaluationMetrics_findMatchesMetrics :: Lens' EvaluationMetrics (Maybe FindMatchesMetrics) Source #

The evaluation metrics for the find matches algorithm.

evaluationMetrics_transformType :: Lens' EvaluationMetrics TransformType Source #

The type of machine learning transform.