Class

org.apache.spark.util.random

BernoulliSampler

Related Doc: package random

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

:: DeveloperApi :: 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])

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    fraction

    the sampling fraction, aka Bernoulli sampling probability

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): BernoulliSampler[T]

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    return a copy of the RandomSampler object

    return a copy of the RandomSampler object

    Definition Classes
    BernoulliSampler → RandomSampler → AnyRef

  6. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  9. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  10. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  12. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  13. final def notify(): Unit

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    Definition Classes
    AnyRef

  14. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  15. def sample(): Int

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    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

  16. def sample(items: Iterator[T]): Iterator[T]

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    take a random sample

    take a random sample

    Definition Classes
    RandomSampler

  17. def setSeed(seed: Long): Unit

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    Set random seed.

    Set random seed.

    Definition Classes
    BernoulliSampler → Pseudorandom

  18. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  19. def toString(): String

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    Definition Classes
    AnyRef → Any

  20. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  21. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  22. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RandomSampler[T, T]

Inherited from Serializable

Inherited from Serializable

Inherited from Cloneable

Inherited from Cloneable

Inherited from Pseudorandom

Inherited from AnyRef

Inherited from Any

Ungrouped