Class

breeze.stats.distributions

Rayleigh

Related Doc: package distributions

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case class Rayleigh(scale: Double)(implicit rand: RandBasis = Rand) extends ContinuousDistr[Double] with Moments[Double, Double] with HasCdf with Product with Serializable

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  1. Rayleigh
  2. Product
  3. Equals
  4. HasCdf
  5. Moments
  6. ContinuousDistr
  7. Rand
  8. Serializable
  9. Serializable
  10. Density
  11. AnyRef
  12. Any
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Instance Constructors

  1. new Rayleigh(scale: Double)(implicit rand: RandBasis = Rand)

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

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    Definition Classes
    AnyRef → Any
  4. def apply(x: Double): Double

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    Returns the unnormalized value of the measure

    Returns the unnormalized value of the measure

    Definition Classes
    ContinuousDistrDensity
  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. def cdf(x: Double): Double

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    Definition Classes
    RayleighHasCdf
  7. def clone(): AnyRef

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

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    Definition Classes
    Rand
  9. def draw(): Double

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    Gets one sample from the distribution.

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

    Definition Classes
    RayleighRand
  10. def drawOpt(): Option[Double]

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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

    Definition Classes
    Rand
  11. def entropy: Double

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

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

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    Definition Classes
    Rand
  14. def flatMap[E](f: (Double) ⇒ 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.

    Definition Classes
    Rand
  15. def foreach(f: (Double) ⇒ 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

    Definition Classes
    Rand
  16. def get(): Double

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

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    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate()
  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  19. def logApply(x: Double): Double

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    Returns the log unnormalized value of the measure

    Returns the log unnormalized value of the measure

    Definition Classes
    ContinuousDistrDensity
  20. def logNormalizer: Double

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    Definition Classes
    RayleighContinuousDistr
  21. def logPdf(x: Double): Double

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    Definition Classes
    ContinuousDistr
  22. def map[E](f: (Double) ⇒ 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.

    Definition Classes
    Rand
  23. def mean: Double

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    Definition Classes
    RayleighMoments
  24. def mode: Double

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    Definition Classes
    RayleighMoments
  25. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  26. lazy val normalizer: Double

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    Definition Classes
    ContinuousDistr
  27. final def notify(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()
  28. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate()
  29. def pdf(x: Double): Double

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    Returns the probability density function at that point.

    Returns the probability density function at that point.

    Definition Classes
    ContinuousDistr
  30. def probability(x: Double, y: Double): Double

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    Definition Classes
    RayleighHasCdf
  31. def sample(n: Int): IndexedSeq[Double]

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    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes
    Rand
  32. def sample(): Double

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    Gets one sample from the distribution.

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

    Definition Classes
    Rand
  33. def samples: Iterator[Double]

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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

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

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    Return a vector of samples.

    Return a vector of samples.

    Definition Classes
    Rand
  35. val scale: Double

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

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    Definition Classes
    AnyRef
  37. def unnormalizedLogPdf(x: Double): Double

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    Definition Classes
    RayleighContinuousDistr
  38. def unnormalizedPdf(x: Double): Double

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    Returns the probability density function up to a constant at that point.

    Returns the probability density function up to a constant at that point.

    Definition Classes
    ContinuousDistr
  39. def variance: Double

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    Definition Classes
    RayleighMoments
  40. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  43. def withFilter(p: (Double) ⇒ Boolean): Rand[Double]

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    Definition Classes
    Rand

Deprecated Value Members

  1. def finalize(): Unit

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

    (Since version ) see corresponding Javadoc for more information.

Inherited from Product

Inherited from Equals

Inherited from HasCdf

Inherited from Moments[Double, Double]

Inherited from ContinuousDistr[Double]

Inherited from Rand[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Density[Double]

Inherited from AnyRef

Inherited from Any

Ungrouped