Amazonka.Glue.Types.ConfusionMatrix

Documentation

data ConfusionMatrix

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

• numFalseNegatives :: Maybe Integer

  The number of matches in the data that the transform didn't find, 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.

• numTrueNegatives :: Maybe Integer

  The number of nonmatches in the data that the transform correctly rejected, 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.

Instances

FromJSON ConfusionMatrix

Defined in Amazonka.Glue.Types.ConfusionMatrix

Methods

parseJSON :: Value -> Parser ConfusionMatrix

parseJSONList :: Value -> Parser [ConfusionMatrix]

Generic ConfusionMatrix

Defined in Amazonka.Glue.Types.ConfusionMatrix

Associated Types

type Rep ConfusionMatrix :: Type -> Type

Methods

from :: ConfusionMatrix -> Rep ConfusionMatrix x

to :: Rep ConfusionMatrix x -> ConfusionMatrix

Read ConfusionMatrix

Defined in Amazonka.Glue.Types.ConfusionMatrix

Methods

readsPrec :: Int -> ReadS ConfusionMatrix

readList :: ReadS [ConfusionMatrix]

readPrec :: ReadPrec ConfusionMatrix

readListPrec :: ReadPrec [ConfusionMatrix]

Show ConfusionMatrix

Defined in Amazonka.Glue.Types.ConfusionMatrix

Methods

showsPrec :: Int -> ConfusionMatrix -> ShowS

show :: ConfusionMatrix -> String

showList :: [ConfusionMatrix] -> ShowS

NFData ConfusionMatrix

Defined in Amazonka.Glue.Types.ConfusionMatrix

Methods

rnf :: ConfusionMatrix -> ()

Eq ConfusionMatrix

Defined in Amazonka.Glue.Types.ConfusionMatrix

Methods

(==) :: ConfusionMatrix -> ConfusionMatrix -> Bool

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

Hashable ConfusionMatrix

Defined in Amazonka.Glue.Types.ConfusionMatrix

Methods

hashWithSalt :: Int -> ConfusionMatrix -> Int

hash :: ConfusionMatrix -> Int

type Rep ConfusionMatrix

Defined in Amazonka.Glue.Types.ConfusionMatrix

type Rep ConfusionMatrix = D1 ('MetaData "ConfusionMatrix" "Amazonka.Glue.Types.ConfusionMatrix" "amazonka-glue-2.0-7miPWwBHdfn8N8SvbpLgE0" 'False) (C1 ('MetaCons "ConfusionMatrix'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "numFalseNegatives") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "numFalsePositives") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))) :*: (S1 ('MetaSel ('Just "numTrueNegatives") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "numTruePositives") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))))

newConfusionMatrix :: ConfusionMatrix

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: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: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.

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

confusionMatrix_numFalseNegatives :: Lens' ConfusionMatrix (Maybe Integer)

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

confusionMatrix_numFalsePositives :: Lens' ConfusionMatrix (Maybe Integer)

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)

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

confusionMatrix_numTruePositives :: Lens' ConfusionMatrix (Maybe Integer)

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