ml.combust.mleap.core.regression.GeneralizedLinearRegressionModel

Link

abstract class Link extends Serializable

A description of the link function to be used in the model. The link function provides the relationship between the linear predictor and the mean of the distribution function.

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Instance Constructors

  1. new Link(name: String)

    name

    the name of link function.

Abstract Value Members

  1. abstract def deriv(mu: Double): Double

    Derivative of the link function.

  2. abstract def link(mu: Double): Double

    The link function.

  3. abstract def unlink(eta: Double): Double

    The inverse link function.

Concrete Value Members

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

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

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  3. final def ##(): Int

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

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. val name: String

    the name of link function.

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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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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