edu.stanford.nlp.tmt.model.lda

GibbsModelMath

object GibbsModelMath extends AnyRef

LDA Model utilities.

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. Hide All
  2. Show all
  1. GibbsModelMath
  2. AnyRef
  3. Any
Visibility
  1. Public
  2. All

Value Members

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

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

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

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

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

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

    Attributes
    final
    Definition Classes
    Any
  7. def clone (): AnyRef

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()
  8. def eq (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef
  9. def equals (arg0: Any): Boolean

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

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

    Attributes
    final
    Definition Classes
    AnyRef → Any
  12. def hashCode (): Int

    Definition Classes
    AnyRef → Any
  13. def isInstanceOf [T0] : Boolean

    Attributes
    final
    Definition Classes
    Any
  14. def ne (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef
  15. def notify (): Unit

    Attributes
    final
    Definition Classes
    AnyRef
  16. def notifyAll (): Unit

    Attributes
    final
    Definition Classes
    AnyRef
  17. def sampleFromIllDistribution (values: Array[Double], sum: Double, end: Int, random: MersenneTwisterFast): Int

    Returns a sample from the given ill-conditioned probability distribution (doesn't sum to 1) whose sum has been precomputed.

    Returns a sample from the given ill-conditioned probability distribution (doesn't sum to 1) whose sum has been precomputed. Returns a value from between 0 (inclusive) to end (exclusive)

    Attributes
    final
    Annotations
    @inline()
  18. def synchronized [T0] (arg0: ⇒ T0): T0

    Attributes
    final
    Definition Classes
    AnyRef
  19. def toString (): String

    Definition Classes
    AnyRef → Any
  20. def wait (): Unit

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

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

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

Inherited from AnyRef

Inherited from Any