Class/Object

au.id.cxd.math.model.evaluation

MSE

Related Docs: object MSE | package evaluation

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class MSE extends AnyRef

traditional Mean Square Error measure

MSE = 1/N \sum_{i=1} (O_i - P_i)^2

Linear Supertypes
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Instance Constructors

  1. new MSE(obs: Seq[Double], pred: Seq[Double])

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Value Members

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

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  2. final def ##(): Int

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. val obs: Seq[Double]

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  16. def op(): Double

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  17. val pred: Seq[Double]

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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