Packages

c

org.apache.spark.util.random

BernoulliSampler

class BernoulliSampler[T] extends RandomSampler[T, T]

Developer API

A sampler based on Bernoulli trials.

T

item type

Annotations
@DeveloperApi()
Source
RandomSampler.scala
Linear Supertypes
RandomSampler[T, T], Serializable, Serializable, Cloneable, Cloneable, Pseudorandom, AnyRef, Any
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Inherited
  1. BernoulliSampler
  2. RandomSampler
  3. Serializable
  4. Serializable
  5. Cloneable
  6. Cloneable
  7. Pseudorandom
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BernoulliSampler(fraction: Double)(implicit arg0: ClassTag[T])

    fraction

    the sampling fraction, aka Bernoulli sampling probability

Value Members

  1. def clone(): BernoulliSampler[T]

    return a copy of the RandomSampler object

    return a copy of the RandomSampler object

    Definition Classes
    BernoulliSampler → RandomSampler → AnyRef
  2. def sample(): Int

    Whether to sample the next item or not.

    Whether to sample the next item or not. Return how many times the next item will be sampled. Return 0 if it is not sampled.

    Definition Classes
    BernoulliSampler → RandomSampler
  3. def sample(items: Iterator[T]): Iterator[T]

    take a random sample

    take a random sample

    Definition Classes
    RandomSampler
  4. def setSeed(seed: Long): Unit

    Set random seed.

    Set random seed.

    Definition Classes
    BernoulliSampler → Pseudorandom