trait Rand[+T] extends Serializable
A trait for monadic distributions. Provides support for use in for-comprehensions
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- Rand[T]
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- abstract def draw(): T
Gets one sample from the distribution.
Gets one sample from the distribution. Equivalent to sample()
Concrete Value Members
- final def !=(arg0: Any): Boolean
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- final def ##(): Int
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- final def ==(arg0: Any): Boolean
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def condition(p: (T) => Boolean): Rand[T]
- 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
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- def filter(p: (T) => Boolean): Rand[T]
- 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.
- 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
- def get(): T
- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- final def isInstanceOf[T0]: Boolean
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- 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.
- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- final def notifyAll(): Unit
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- def sample(n: Int): IndexedSeq[T]
Gets n samples from the distribution.
- def sample(): T
Gets one sample from the distribution.
Gets one sample from the distribution. Equivalent to get()
- 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
- def samplesVector[U >: T](size: Int)(implicit m: ClassTag[U]): DenseVector[U]
Return a vector of samples.
- final def synchronized[T0](arg0: => T0): T0
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- def toString(): String
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- final def wait(arg0: Long, arg1: Int): Unit
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- final def wait(arg0: Long): Unit
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- final def wait(): Unit
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- def withFilter(p: (T) => Boolean): Rand[T]