Class/Object

io.github.mandar2812.dynaml.evaluation

MultiRegressionMetrics

Related Docs: object MultiRegressionMetrics | package evaluation

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class MultiRegressionMetrics extends Metrics[DenseVector[Double]]

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

  1. new MultiRegressionMetrics(scoresAndLabels: List[(DenseVector[Double], DenseVector[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: MultiRegressionMetrics): MultiRegressionMetrics

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

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    Definition Classes
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  5. val Rsq: DenseVector[Double]

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

  8. val corr: DenseVector[Double]

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

  12. def generatePlots(): Unit

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    Definition Classes
    MultiRegressionMetrics → Metrics

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

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    Definition Classes
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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
    MultiRegressionMetrics → Metrics

  17. val len: Int

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  18. val length: DenseVector[Double]

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  19. val mae: DenseVector[Double]

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  20. val modelYield: DenseVector[Double]

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  21. var name: String

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    Attributes
    protected
    Definition Classes
    Metrics

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

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    Definition Classes
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  23. final def notify(): Unit

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    Definition Classes
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  24. final def notifyAll(): Unit

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  25. val num_outputs: Int

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  26. val onesVec: DenseVector[Double]

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  27. val predictionEfficiency: DenseVector[Double]

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  28. def print(): Unit

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    Definition Classes
    MultiRegressionMetrics → Metrics

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

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  30. val rmse: DenseVector[Double]

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  31. val rmsle: DenseVector[Double]

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

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    Attributes
    protected
    Definition Classes
    MultiRegressionMetrics → Metrics

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

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

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    Definition Classes
    Metrics

  35. val sigma: DenseVector[Double]

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

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    Definition Classes
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  37. def toString(): String

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  38. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Metrics[DenseVector[Double]]

Inherited from AnyRef

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