breeze.stats.distributions

Rand

trait Rand[+T] extends AnyRef

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

Self Type
Rand[T]
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Abstract Value Members

  1. abstract def draw(): T

    Gets one sample from the distribution.

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

Concrete Value Members

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

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

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

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

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

  9. 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

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

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

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

  13. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
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    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. 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.

  15. 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

  16. def get(): T

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

    Definition Classes
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  18. def hashCode(): Int

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

    Definition Classes
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  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.

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

    Definition Classes
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  22. final def notify(): Unit

    Definition Classes
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  23. final def notifyAll(): Unit

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

    Gets n samples from the distribution.

  25. def sample(): T

    Gets one sample from the distribution.

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

  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

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

    Definition Classes
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  28. def toString(): String

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  29. final def wait(): Unit

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

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

    Definition Classes
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    @throws( ... )
  32. def withFilter(p: (T) ⇒ Boolean): Rand[T]

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