breeze.stats.mcmc

ThreadedBufferedRand

case class ThreadedBufferedRand[T](wrapped: Rand[T], bufferSize: Int = 1024.*(8))(implicit m: ClassTag[T]) extends Rand[T] with Product with Serializable

Linear Supertypes
Product, Equals, Rand[T], Serializable, Serializable, AnyRef, Any
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Inherited
  1. ThreadedBufferedRand
  2. Product
  3. Equals
  4. Rand
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Instance Constructors

  1. new ThreadedBufferedRand(wrapped: Rand[T], bufferSize: Int = 1024.*(8))(implicit m: ClassTag[T])

Value Members

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

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

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

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

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

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

    Definition Classes
    Any
  7. val bufferSize: Int

  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def condition(p: (T) ⇒ Boolean): Rand[T]

    Definition Classes
    Rand
  10. def draw(): T

    Gets one sample from the distribution.

    Gets one sample from the distribution. Equivalent to sample()

    Definition Classes
    ThreadedBufferedRandRand
  11. def drawOpt(): Option[T]

    Overridden by filter/map/flatmap for monadic invocations.

    Overridden by filter/map/flatmap for monadic invocations. Basically, rejeciton samplers will return None here

    Definition Classes
    Rand
  12. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  13. def filter(p: (T) ⇒ Boolean): Rand[T]

    Definition Classes
    Rand
  14. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. def flatMap[E](f: (T) ⇒ Rand[E]): Rand[E]

    Converts a random sampler of one type to a random sampler of another type.

    Converts a random sampler of one type to a random sampler of another type. Examples: randInt(10).flatMap(x => randInt(3 * x.asInstanceOf[Int]) gives a Rand[Int] in the range [0,30] Equivalently, for(x <- randInt(10); y <- randInt(30 *x)) yield y

    f

    the transform to apply to the sampled value.

    Definition Classes
    Rand
  16. def foreach(f: (T) ⇒ Unit): Unit

    Samples one element and qpplies the provided function to it.

    Samples one element and qpplies the provided function to it. Despite the name, the function is applied once. Sample usage:

     for(x <- Rand.uniform) { println(x) } 
    

    f

    the function to be applied

    Definition Classes
    Rand
  17. def get(): T

    Definition Classes
    Rand
  18. final def getClass(): Class[_]

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

    Definition Classes
    Any
  20. def map[E](f: (T) ⇒ E): Rand[E]

    Converts a random sampler of one type to a random sampler of another type.

    Converts a random sampler of one type to a random sampler of another type. Examples: uniform.map(_*2) gives a Rand[Double] in the range [0,2] Equivalently, for(x <- uniform) yield 2*x

    f

    the transform to apply to the sampled value.

    Definition Classes
    Rand
  21. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  22. final def notify(): Unit

    Definition Classes
    AnyRef
  23. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  24. def sample(n: Int): IndexedSeq[T]

    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes
    Rand
  25. def sample(): T

    Gets one sample from the distribution.

    Gets one sample from the distribution. Equivalent to get()

    Definition Classes
    Rand
  26. def samples: Iterator[T]

    An infinitely long iterator that samples repeatedly from the Rand

    An infinitely long iterator that samples repeatedly from the Rand

    returns

    an iterator that repeatedly samples

    Definition Classes
    Rand
  27. def samplesVector[U >: T](size: Int)(implicit m: ClassTag[U]): DenseVector[U]

    Return a vector of samples.

    Return a vector of samples.

    Definition Classes
    Rand
  28. def stop(): Unit

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

    Definition Classes
    AnyRef
  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 withFilter(p: (T) ⇒ Boolean): Rand[T]

    Definition Classes
    Rand
  34. val wrapped: Rand[T]

Inherited from Product

Inherited from Equals

Inherited from Rand[T]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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