Trait/Object

breeze.stats.distributions

Rand

Related Docs: object Rand | package distributions

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trait Rand[+T] extends Serializable

A trait for monadic distributions. Provides support for use in for-comprehensions

Self Type
Rand[T]
Linear Supertypes
Serializable, Serializable, AnyRef, Any
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Abstract Value Members

  1. abstract def draw(): T

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    Gets one sample from the distribution.

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

Concrete Value Members

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

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    Definition Classes
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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def drawOpt(): Option[T]

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    Overridden by filter/map/flatmap for monadic invocations.

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

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

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

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  10. def filter(p: (T) ⇒ Boolean): Rand[T]

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  11. def finalize(): Unit

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

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    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.

  13. def foreach(f: (T) ⇒ Unit): Unit

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    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

  14. def get(): T

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

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. def map[E](f: (T) ⇒ E): Rand[E]

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    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.

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

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    Definition Classes
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  20. final def notify(): Unit

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    Definition Classes
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  21. final def notifyAll(): Unit

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

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    Gets n samples from the distribution.

  23. def sample(): T

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    Gets one sample from the distribution.

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

  24. def samples: Iterator[T]

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    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

  25. def samplesVector[U >: T](size: Int)(implicit m: ClassTag[U]): DenseVector[U]

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    Return a vector of samples.

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

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  27. def toString(): String

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  28. final def wait(): Unit

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    @throws( ... )
  29. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  30. final def wait(arg0: Long): Unit

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    @throws( ... )
  31. def withFilter(p: (T) ⇒ Boolean): Rand[T]

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Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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