Trait/Object

io.github.mandar2812.dynaml.probability

MixtureRV

Related Docs: object MixtureRV | package probability

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trait MixtureRV[Domain, BaseRV <: RandomVariable[Domain]] extends RandomVariable[Domain]

Top level class for representing random variable mixtures.

Domain

Domain over which each mixture component is defined

BaseRV

The type of each mixture component, must be a sub type of RandomVariable

Linear Supertypes
RandomVariable[Domain], Serializable, Serializable, AnyRef, Any
Known Subclasses
ContinuousDistrMixture, ContinuousMixtureRV
Ordering
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Inherited
  1. MixtureRV
  2. RandomVariable
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract val components: Seq[BaseRV]

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  2. abstract val mixture_selector: MultinomialRV

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  3. abstract val sample: DataPipe[Unit, Domain]

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    Generate a sample from the random variable

    Generate a sample from the random variable

    Definition Classes
    RandomVariable

Concrete Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. def :*[Domain1](other: RandomVariable[Domain1]): RandomVariable[(Domain, Domain1)]

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    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

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

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    Definition Classes
    AnyRef → Any

  5. def >[OtherDomain](transformation: DataPipe[Domain, OtherDomain]): MeasurableFunction[Domain, OtherDomain, RandomVariable[Domain]]

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    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

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def clone(): AnyRef

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

  8. def draw: Domain

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    Alias for sample.run()

    Alias for sample.run()

    Definition Classes
    RandomVariable

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  13. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  14. def iid(n: Int): IIDRandomVariable[Domain, RandomVariable[Domain]]

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    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
    RandomVariable

  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef

  20. def toString(): String

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    Definition Classes
    AnyRef → Any

  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RandomVariable[Domain]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped