trait Process[T] extends Rand[T]
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- final def !=(arg0: Any): Boolean
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @IntrinsicCandidate()
- def condition(p: (T) => Boolean): Rand[T]
- Definition Classes
- Rand
- 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
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- Rand
- 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]
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- Rand
- 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.
- Definition Classes
- Rand
- 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
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- Rand
- def get(): T
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- Rand
- 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.
- Definition Classes
- Rand
- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- @native() @IntrinsicCandidate()
- final def notifyAll(): Unit
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- def sample(n: Int): IndexedSeq[T]
Gets n samples from the distribution.
Gets n samples from the distribution.
- Definition Classes
- Rand
- def sample(): T
Gets one sample from the distribution.
Gets one sample from the distribution. Equivalent to get()
- Definition Classes
- Rand
- 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
- Definition Classes
- Rand
- def samplesVector[U >: T](size: Int)(implicit m: ClassTag[U]): DenseVector[U]
Return a vector of samples.
Return a vector of samples.
- Definition Classes
- Rand
- def step(): (T, Process[T])
Draw a sample and the next step of the process along with it.
- def steps: Iterator[T]
Returns an Iterator that automatically moves the Process along as next is called
- 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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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- final def wait(): Unit
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- @throws(classOf[java.lang.InterruptedException])
- def withFilter(p: (T) => Boolean): Rand[T]
- Definition Classes
- Rand