Object

ml.combust.mleap.core.regression.GeneralizedLinearRegressionModel

Gaussian

Related Doc: package GeneralizedLinearRegressionModel

Permalink

object Gaussian extends Family

Gaussian exponential family distribution. The default link for the Gaussian family is the identity link.

Linear Supertypes
Family, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. Gaussian
  2. Family
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  5. def clone(): AnyRef

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

  6. val defaultLink: Link

    Permalink

    The default link instance of this family.

    The default link instance of this family.

    Definition Classes
    Gaussian → Family

  7. def deviance(y: Double, mu: Double, weight: Double): Double

    Permalink

    Deviance of (y, mu) pair.

    Deviance of (y, mu) pair.

    Definition Classes
    Gaussian → Family

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

    Permalink
    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  13. def initialize(y: Double, weight: Double): Double

    Permalink

    Initialize the starting value for mu.

    Initialize the starting value for mu.

    Definition Classes
    Gaussian → Family

  14. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  15. val name: String

    Permalink

    the name of the family.

    the name of the family.

    Definition Classes
    Family

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

    Permalink
    Definition Classes
    AnyRef

  17. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  19. def project(mu: Double): Double

    Permalink

    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
    Gaussian → Family

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

    Permalink
    Definition Classes
    AnyRef

  21. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any

  22. def variance(mu: Double): Double

    Permalink

    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
    Gaussian → Family

  23. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Family

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped