MulticlassMetrics

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

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2. final def !=(arg0: Any): Boolean

   Definition Classes

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3. final def ##(): Int

   Definition Classes

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4. final def ==(arg0: AnyRef): Boolean

   Definition Classes

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5. final def ==(arg0: Any): Boolean

   Definition Classes

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6. final def asInstanceOf[T0]: T0

   Definition Classes

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7. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

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   Annotations

   @throws( ... )

8. def confusionMatrix: Matrix

   Returns confusion matrix: predicted classes are in columns, they are ordered by class label ascending, as in "labels"

   Returns confusion matrix: predicted classes are in columns, they are ordered by class label ascending, as in "labels"

   Annotations

   @Since( "1.1.0" )

9. final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

10. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

11. def fMeasure(label: Double): Double

    Returns f1-measure for a given label (category)

    Returns f1-measure for a given label (category)

    label

    the label.

    Annotations

    @Since( "1.1.0" )

12. def fMeasure(label: Double, beta: Double): Double

    Returns f-measure for a given label (category)

    Returns f-measure for a given label (category)

    label

    the label.

    beta

    the beta parameter.

    Annotations

    @Since( "1.1.0" )

13. lazy val fMeasure: Double

    Returns f-measure (equals to precision and recall because precision equals recall)

    Returns f-measure (equals to precision and recall because precision equals recall)

    Annotations

    @Since( "1.1.0" )

14. def falsePositiveRate(label: Double): Double

    Returns false positive rate for a given label (category)

    Returns false positive rate for a given label (category)

    label

    the label.

    Annotations

    @Since( "1.1.0" )

15. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

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    @throws( classOf[java.lang.Throwable] )

16. final def getClass(): Class[_]

    Definition Classes

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17. def hashCode(): Int

    Definition Classes

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18. final def isInstanceOf[T0]: Boolean

    Definition Classes

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19. lazy val labels: Array[Double]

    Returns the sequence of labels in ascending order

    Returns the sequence of labels in ascending order

    Annotations

    @Since( "1.1.0" )

20. final def ne(arg0: AnyRef): Boolean

    Definition Classes

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21. final def notify(): Unit

    Definition Classes

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22. final def notifyAll(): Unit

    Definition Classes

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23. def precision(label: Double): Double

    Returns precision for a given label (category)

    Returns precision for a given label (category)

    label

    the label.

    Annotations

    @Since( "1.1.0" )

24. lazy val precision: Double

    Returns precision

    Returns precision

    Annotations

    @Since( "1.1.0" )

25. def recall(label: Double): Double

    Returns recall for a given label (category)

    Returns recall for a given label (category)

    label

    the label.

    Annotations

    @Since( "1.1.0" )

26. lazy val recall: Double

    Returns recall (equals to precision for multiclass classifier because sum of all false positives is equal to sum of all false negatives)

    Returns recall (equals to precision for multiclass classifier because sum of all false positives is equal to sum of all false negatives)

    Annotations

    @Since( "1.1.0" )

27. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

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28. def toString(): String

    Definition Classes

    AnyRef → Any

29. def truePositiveRate(label: Double): Double

    Returns true positive rate for a given label (category)

    Returns true positive rate for a given label (category)

    label

    the label.

    Annotations

    @Since( "1.1.0" )

30. final def wait(): Unit

    Definition Classes

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    @throws( ... )

31. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

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    @throws( ... )

32. final def wait(arg0: Long): Unit

    Definition Classes

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    @throws( ... )

33. def weightedFMeasure(beta: Double): Double

    Returns weighted averaged f-measure

    Returns weighted averaged f-measure

    beta

    the beta parameter.

    Annotations

    @Since( "1.1.0" )

34. lazy val weightedFMeasure: Double

    Returns weighted averaged f1-measure

    Returns weighted averaged f1-measure

    Annotations

    @Since( "1.1.0" )

35. lazy val weightedFalsePositiveRate: Double

    Returns weighted false positive rate

    Returns weighted false positive rate

    Annotations

    @Since( "1.1.0" )

36. lazy val weightedPrecision: Double

    Returns weighted averaged precision

    Returns weighted averaged precision

    Annotations

    @Since( "1.1.0" )

37. lazy val weightedRecall: Double

    Returns weighted averaged recall (equals to precision, recall and f-measure)

    Returns weighted averaged recall (equals to precision, recall and f-measure)

    Annotations

    @Since( "1.1.0" )

38. lazy val weightedTruePositiveRate: Double

    Returns weighted true positive rate (equals to precision, recall and f-measure)

    Returns weighted true positive rate (equals to precision, recall and f-measure)

    Annotations

    @Since( "1.1.0" )