Class/Object

io.github.mandar2812.dynaml.evaluation

RegressionMetrics

Related Docs: object RegressionMetrics | package evaluation

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class RegressionMetrics extends Metrics[Double]

Class implementing the calculation of regression performance evaluation metrics

Linear Supertypes
Metrics[Double], AnyRef, Any
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Instance Constructors

  1. new RegressionMetrics(scoresAndLabels: List[(Double, Double)], len: Int)

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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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    Definition Classes
    AnyRef → Any

  3. def ++(otherMetrics: RegressionMetrics): RegressionMetrics

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

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    Definition Classes
    AnyRef → Any

  5. val Rsq: Double

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  6. final def asInstanceOf[T0]: T0

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    Any

  7. def clone(): AnyRef

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

  8. val corr: Double

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

  12. def generateFitPlot(): Unit

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  13. def generatePlots(): Unit

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    Definition Classes
    RegressionMetrics → Metrics

  14. def generateResidualPlot(): Unit

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

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    Definition Classes
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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. def kpi(): DenseVector[Double]

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    Definition Classes
    RegressionMetrics → Metrics

  19. val len: Int

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  20. val length: Int

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  21. val mae: Double

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  22. val modelYield: Double

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  23. var name: String

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    Attributes
    protected
    Definition Classes
    Metrics

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

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    Definition Classes
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  25. final def notify(): Unit

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  26. final def notifyAll(): Unit

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  27. val predictionEfficiency: Double

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  28. def print(): Unit

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    Definition Classes
    RegressionMetrics → Metrics

  29. def residuals(): List[(Double, Double)]

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  30. val rmse: Double

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  31. val rmsle: Double

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  32. val scoresAndLabels: List[(Double, Double)]

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    Attributes
    protected
    Definition Classes
    RegressionMetrics → Metrics

  33. def scores_and_labels(): List[(Double, Double)]

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  34. def setName(n: String): RegressionMetrics.this.type

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    Definition Classes
    Metrics

  35. val sigma: Double

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  36. val sp_corr: Double

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

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    Definition Classes
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  38. def toString(): String

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  39. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Metrics[Double]

Inherited from AnyRef

Inherited from Any

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