breeze.stats.distributions

Exponential

case class Exponential(rate: Double)(implicit basis: RandBasis = Rand) extends ContinuousDistr[Double] with Product with Serializable

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

  1. new Exponential(rate: Double)(implicit basis: RandBasis = Rand)

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
    ContinuousDistrMeasure
  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
    ExponentialRand
  11. def drawOpt(): Option[Double]

    Overridden by filter/map/flatmap for monadic invocations

    Overridden by filter/map/flatmap for monadic invocations

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

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

    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: (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
  16. 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
  17. def get(): Double

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

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

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

    Returns the log unnormalized value of the measure

    Returns the log unnormalized value of the measure

    Definition Classes
    ContinuousDistrMeasure
  21. val logNormalizer: Double

    Definition Classes
    ExponentialContinuousDistr
  22. def logPdf(x: Double): Double

    Definition Classes
    ContinuousDistr
  23. 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
  24. final def ne(arg0: AnyRef): Boolean

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

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

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

    Returns the probability density function at that point.

    Returns the probability density function at that point.

    Definition Classes
    ContinuousDistr
  28. val rate: Double

  29. def sample(n: Int): IndexedSeq[Double]

    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes
    Rand
  30. def sample(): Double

    Gets one sample from the distribution.

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

    Definition Classes
    Rand
  31. 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
  32. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  33. def toString(): String

    Definition Classes
    Exponential → AnyRef → Any
  34. def unnormalizedLogPdf(x: Double): Double

    Definition Classes
    ExponentialContinuousDistr
  35. 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
  36. final def wait(): Unit

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

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

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

    Definition Classes
    Rand

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from ContinuousDistr[Double]

Inherited from Rand[Double]

Inherited from Measure[Double]

Inherited from AnyRef

Inherited from Any

Ungrouped