Class/Object

io.github.mandar2812.dynaml.evaluation

RegressionMetricsSpark

Related Docs: object RegressionMetricsSpark | package evaluation

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class RegressionMetricsSpark extends Metrics[Double]

Class implementing the calculation of regression performance evaluation metrics

Linear Supertypes
Metrics[Double], AnyRef, Any
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  1. RegressionMetricsSpark
  2. Metrics
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Instance Constructors

  1. new RegressionMetricsSpark(scores: RDD[(Double, Double)], len: Long)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  9. def generatePlots(): Unit

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    Definition Classes
    RegressionMetricsSpark → Metrics

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

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    AnyRef → Any

  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  13. def kpi(): DenseVector[Double]

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    Definition Classes
    RegressionMetricsSpark → Metrics

  14. val len: Long

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  15. val length: Long

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  16. val mae: Double

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  17. var name: String

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    Attributes
    protected
    Definition Classes
    Metrics

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

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    Definition Classes
    AnyRef

  19. final def notify(): Unit

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    Definition Classes
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  20. final def notifyAll(): Unit

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    Definition Classes
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  21. def print(): Unit

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    Definition Classes
    RegressionMetricsSpark → Metrics

  22. def residuals(): RDD[(Double, Double)]

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  23. val rmse: Double

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  24. val rmsle: Double

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  25. val rsq: Double

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  26. val scores: RDD[(Double, Double)]

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    Attributes
    protected

  27. val scoresAndLabels: List[Nothing]

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    Attributes
    protected
    Definition Classes
    RegressionMetricsSpark → Metrics

  28. def scores_and_labels(): List[Nothing]

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  29. def setName(n: String): RegressionMetricsSpark.this.type

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    Definition Classes
    Metrics

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

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    Definition Classes
    AnyRef

  31. def toString(): String

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    Definition Classes
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  32. final def wait(): Unit

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    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    Definition Classes
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Inherited from Metrics[Double]

Inherited from AnyRef

Inherited from Any

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