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.ConfusionMatrix

Description

Documentation

data ConfusionMatrix Source #

The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.

For more information, see Confusion matrix in Wikipedia.

See: newConfusionMatrix smart constructor.

Constructors

ConfusionMatrix'

Fields

numTrueNegatives :: Maybe Integer
The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your transform.
numFalseNegatives :: Maybe Integer
The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.
numTruePositives :: Maybe Integer
The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.
numFalsePositives :: Maybe Integer
The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion matrix for your transform.

Instances

Instances details

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

newConfusionMatrix :: ConfusionMatrix Source #

Create a value of ConfusionMatrix 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:numTrueNegatives:ConfusionMatrix', confusionMatrix_numTrueNegatives - The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your transform.

$sel:numFalseNegatives:ConfusionMatrix', confusionMatrix_numFalseNegatives - The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.

$sel:numTruePositives:ConfusionMatrix', confusionMatrix_numTruePositives - The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.

$sel:numFalsePositives:ConfusionMatrix', confusionMatrix_numFalsePositives - The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion matrix for your transform.

confusionMatrix_numTrueNegatives :: Lens' ConfusionMatrix (Maybe Integer) Source #

The number of nonmatches in the data that the transform correctly rejected, in the confusion matrix for your transform.

confusionMatrix_numFalseNegatives :: Lens' ConfusionMatrix (Maybe Integer) Source #

The number of matches in the data that the transform didn't find, in the confusion matrix for your transform.

confusionMatrix_numTruePositives :: Lens' ConfusionMatrix (Maybe Integer) Source #

The number of matches in the data that the transform correctly found, in the confusion matrix for your transform.

confusionMatrix_numFalsePositives :: Lens' ConfusionMatrix (Maybe Integer) Source #

The number of nonmatches in the data that the transform incorrectly classified as a match, in the confusion matrix for your transform.