breeze.stats.distributions

VonMises

case class VonMises(mu: Double, k: Double)(implicit rand: RandBasis = Rand) extends ContinuousDistr[Double] with Moments[Double, Double] with Product with Serializable

Represents a Von Mises distribution, which is a distribution over angles.

mu

is the mean of the distribution, ~ gaussian mean

k

is the concentration, which is like 1/gaussian variance

Linear Supertypes
Serializable, Serializable, Product, Equals, Moments[Double, Double], ContinuousDistr[Double], Rand[Double], Density[Double], AnyRef, Any
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  1. VonMises
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Moments
  7. ContinuousDistr
  8. Rand
  9. Density
  10. AnyRef
  11. Any
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Instance Constructors

  1. new VonMises(mu: Double, k: Double)(implicit rand: RandBasis = Rand)

    mu

    is the mean of the distribution, ~ gaussian mean

    k

    is the concentration, which is like 1/gaussian variance

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. def apply(x: Double): Double

    Returns the unnormalized value of the measure

    Returns the unnormalized value of the measure

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

    Definition Classes
    Any
  8. def clone(): AnyRef

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

    Definition Classes
    Rand
  10. def draw(): Double

    Gets one sample from the distribution.

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

    Definition Classes
    VonMisesRand
  11. def drawOpt(): Option[Double]

    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. def entropy: Double

    Definition Classes
    VonMisesMoments
  13. final def eq(arg0: AnyRef): Boolean

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

    Definition Classes
    Rand
  15. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  16. def flatMap[E](f: (Double) ⇒ 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
  17. def foreach(f: (Double) ⇒ 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
  18. def get(): Double

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

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

    Definition Classes
    Any
  21. val k: Double

    is the concentration, which is like 1/gaussian variance

  22. def logApply(x: Double): Double

    Returns the log unnormalized value of the measure

    Returns the log unnormalized value of the measure

    Definition Classes
    ContinuousDistrDensity
  23. val logNormalizer: Double

    Definition Classes
    VonMisesContinuousDistr
  24. def logPdf(x: Double): Double

    Definition Classes
    ContinuousDistr
  25. def map[E](f: (Double) ⇒ 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
  26. def mean: Double

    Definition Classes
    VonMisesMoments
  27. def mode: Double

    Definition Classes
    VonMisesMoments
  28. val mu: Double

    is the mean of the distribution, ~ gaussian mean

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

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

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

    Definition Classes
    AnyRef
  32. def pdf(x: Double): Double

    Returns the probability density function at that point.

    Returns the probability density function at that point.

    Definition Classes
    ContinuousDistr
  33. def sample(n: Int): IndexedSeq[Double]

    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes
    Rand
  34. def sample(): Double

    Gets one sample from the distribution.

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

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

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

    Definition Classes
    AnyRef
  37. lazy val toString: String

    Definition Classes
    VonMises → AnyRef → Any
  38. def unnormalizedLogPdf(theta: Double): Double

    Definition Classes
    VonMisesContinuousDistr
  39. def unnormalizedPdf(x: Double): Double

    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
  40. def variance: Double

    Definition Classes
    VonMisesMoments
  41. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. final def wait(arg0: Long, arg1: Int): Unit

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

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

    Definition Classes
    Rand

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Moments[Double, Double]

Inherited from ContinuousDistr[Double]

Inherited from Rand[Double]

Inherited from Density[Double]

Inherited from AnyRef

Inherited from Any

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