HaltonSequence

class HaltonSequence(dim: Int) extends Rand[DenseVector[Double]]

Generates a quasi-random sequence of dim-dimensional vectors

trait Rand[DenseVector[Double]]
trait Serializable
class Object
trait Matchable
class Any

Value members

Concrete methods

def draw(): DenseVector[Double]

Inherited methods

def condition(p: DenseVector[Double] => Boolean): Rand[DenseVector[Double]]
Inherited from
Rand
def drawOpt(): Option[DenseVector[Double]]

Overridden by filter/map/flatmap for monadic invocations. Basically, rejeciton samplers will return None here

Overridden by filter/map/flatmap for monadic invocations. Basically, rejeciton samplers will return None here

Inherited from
Rand
def filter(p: DenseVector[Double] => Boolean): Rand[DenseVector[Double]]
Inherited from
Rand
def flatMap[E](f: DenseVector[Double] => Rand[E]): Rand[E]

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

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

Value Params
f

the transform to apply to the sampled value.

Inherited from
Rand
def foreach(f: DenseVector[Double] => Unit): Unit

Samples one element and qpplies the provided function to it. Despite the name, the function is applied once. Sample usage:

Samples one element and qpplies the provided function to it. Despite the name, the function is applied once. Sample usage:

<pre> for(x &lt;- Rand.uniform) { println(x) } </pre>

Value Params
f

the function to be applied

Inherited from
Rand
def get(): DenseVector[Double]
Inherited from
Rand
def map[E](f: DenseVector[Double] => E): Rand[E]

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 2x

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 2x

Value Params
f

the transform to apply to the sampled value.

Inherited from
Rand
def sample(n: Int): IndexedSeq[DenseVector[Double]]

Gets n samples from the distribution.

Gets n samples from the distribution.

Inherited from
Rand
def sample(): DenseVector[Double]

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

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

Inherited from
Rand
def samples: Iterator[DenseVector[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

Inherited from
Rand
def samplesVector[U >: DenseVector[Double]](size: Int)(implicit m: ClassTag[U]): DenseVector[U]

Return a vector of samples.

Return a vector of samples.

Inherited from
Rand
def withFilter(p: DenseVector[Double] => Boolean): Rand[DenseVector[Double]]
Inherited from
Rand

Concrete fields

val primes: Array[Long]