MultinomialRV

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def :*[Domain1](other: DiscreteDistrRV[Domain1]): DiscreteDistrRV[(Int, Domain1)]

   

   Cartesian product with another discrete valued random variable.

   Cartesian product with another discrete valued random variable.

   Definition Classes

   DiscreteDistrRV

4. def :*[Domain1, Dist1 <: Density[Domain1] with Rand[Domain1]](other: RandomVarWithDistr[Domain1, Dist1]): RandomVarWithDistr[(Int, Domain1), GenericDistribution[(Int, Domain1)]]

   

   Cartesian product with another random variables which has a defined probability distribution.

   Cartesian product with another random variables which has a defined probability distribution.

   Definition Classes

   RandomVarWithDistr

5. def :*[Domain1](other: RandomVariable[Domain1]): RandomVariable[(Int, Domain1)]

   

   Outputs the cartesian product between two random variables.

   Outputs the cartesian product between two random variables.

   Domain1

   The domain of the other random variable

   other

   The random variable which forms the second component of the cartesian product.

   Definition Classes

   RandomVariable

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

   

   Definition Classes

   AnyRef → Any

7. def >[OtherDomain](transformation: DataPipe[Int, OtherDomain]): MeasurableFunction[Int, OtherDomain, RandomVariable[Int]]

   

   Transform the current random variable on Domain to a morphed random variable on OtherDomain

   Transform the current random variable on Domain to a morphed random variable on OtherDomain

   Definition Classes

   RandomVariable

8. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

9. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

10. def draw: Int

    

    Alias for sample.run()

    Alias for sample.run()

    Definition Classes

    RandomVariable

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

    

    Definition Classes

    AnyRef

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 iid(n: Int): RandomVariable[Stream[Int]] with IIDRandomVariable[Int, RandomVarWithDistr[Int, DiscreteDistr[Int]]]

    

    Create an iid random variable from the current (this)

    Create an iid random variable from the current (this)

    n

    The number of iid samples of the base random variable.

    Definition Classes

    RandomVarWithDistr → RandomVariable

15. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    AnyRef

17. final def notify(): Unit

    

    Definition Classes

    AnyRef

18. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

19. val sample: DataPipe[Unit, Int]

    

    Generate a sample from the random variable

    Generate a sample from the random variable

    Definition Classes

    DiscreteDistrRV → RandomVariable

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

    

    Definition Classes

    AnyRef

21. val underlyingDist: Multinomial[DenseVector[Double], Int]

    

    The actual probability density function is represented as a breeze Density object.

    The actual probability density function is represented as a breeze Density object.

    Definition Classes

    MultinomialRV → DiscreteDistrRV → RandomVarWithDistr → HasDistribution

22. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

25. val weights: DenseVector[Double]