DenseCanonicalGaussian

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def *(that: DenseCanonicalGaussian)(implicit multOp: multOp[DenseCanonicalGaussian]): DenseCanonicalGaussian

   

   Definition Classes

   NumericOps

4. def /(that: DenseCanonicalGaussian)(implicit divideOp: divideOp[DenseCanonicalGaussian]): DenseCanonicalGaussian

   

   Definition Classes

   NumericOps

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

   

   Definition Classes

   AnyRef → Any

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   

   Definition Classes

   AnyRef

9. def extend(size: Int, startIndex: Int): DenseCanonicalGaussian

   

   Extends the scope of Gaussian.

   Extends the scope of Gaussian. It is useful for * and / operations on Gaussians with different variables.

   size

   The size of extended Gaussian

   startIndex

   The position of this Gaussian in the new extended Gaussian

10. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

11. val g: Double

    

    See Canonical Gaussian definition

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

    

    Definition Classes

    AnyRef → Any

13. def getLogP(): Double

    

    Returns logarithm of normalisation constant.

14. val h: DenseVector[Double]

    

    See Canonical Gaussian definition

15. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

16. val k: DenseMatrix[Double]

    

    See Canonical Gaussian definition

17. def marginal(varIndexes: Int*): DenseCanonicalGaussian

    

    Marginalise out all variables except of the variables at given indexes

18. def marginal(varIndex1: Int, varIndex2: Int): DenseCanonicalGaussian

    

    Marginalise out all variables except of the variables at a given indexes

19. def marginal(varIndex: Int): DenseCanonicalGaussian

    

    Marginalise out all variables except of the variable at a given index

20. def marginalise(varIndex: Int): DenseCanonicalGaussian

    

    Returns gaussian integral marginalising out the variable at a given index

21. lazy val mean: DenseVector[Double]

    

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

    

    Definition Classes

    AnyRef

23. final def notify(): Unit

    

    Definition Classes

    AnyRef

24. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

25. def pdf(x: DenseVector[Double]): Double

    

    Returns the value of probability density function for a given value of vector x.

26. def pdf(x: Double): Double

    

    Returns the value of probability density function for a given value of x.

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

    

    Definition Classes

    AnyRef

28. def toGaussian(): Gaussian

    

29. lazy val variance: DenseMatrix[Double]

    

30. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

33. def withEvidence(varIndex: Int, varValue: Double): DenseCanonicalGaussian

    

    Returns canonical gaussian given evidence.