ml.combust.mleap.core.regression.GeneralizedLinearRegressionModel

Binomial

object Binomial extends Family

Binomial exponential family distribution. The default link for the Binomial family is the logit link.

Linear Supertypes
Family, Serializable, Serializable, AnyRef, Any
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  1. Binomial
  2. Family
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Value Members

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

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

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. val defaultLink: Link

    The default link instance of this family.

    The default link instance of this family.

    Definition Classes
    BinomialFamily
  9. def deviance(y: Double, mu: Double, weight: Double): Double

    Deviance of (y, mu) pair.

    Deviance of (y, mu) pair.

    Definition Classes
    BinomialFamily
  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  14. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  15. def initialize(y: Double, weight: Double): Double

    Initialize the starting value for mu.

    Initialize the starting value for mu.

    Definition Classes
    BinomialFamily
  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  17. val name: String

    Definition Classes
    Family
  18. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  19. final def notify(): Unit

    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  21. def project(mu: Double): Double

    Trim the fitted value so that it will be in valid range.

    Trim the fitted value so that it will be in valid range.

    Definition Classes
    BinomialFamily
  22. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  23. def toString(): String

    Definition Classes
    AnyRef → Any
  24. def variance(mu: Double): Double

    The variance of the endogenous variable's mean, given the value mu.

    The variance of the endogenous variable's mean, given the value mu.

    Definition Classes
    BinomialFamily
  25. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Family

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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