Class

org.apache.spark.mllib.random

WeibullGenerator

Related Doc: package random

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class WeibullGenerator extends RandomDataGenerator[Double]

:: DeveloperApi :: Generates i.i.d. samples from the Weibull distribution with the given shape and scale parameter.

Annotations
@DeveloperApi()
Source
RandomDataGenerator.scala
Linear Supertypes
RandomDataGenerator[Double], Serializable, Serializable, Pseudorandom, AnyRef, Any
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Inherited
  1. WeibullGenerator
  2. RandomDataGenerator
  3. Serializable
  4. Serializable
  5. Pseudorandom
  6. AnyRef
  7. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new WeibullGenerator(alpha: Double, beta: Double)

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    alpha

    shape parameter for the Weibull distribution.

    beta

    scale parameter for the Weibull distribution.

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. val alpha: Double

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    shape parameter for the Weibull distribution.

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val beta: Double

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    scale parameter for the Weibull distribution.

  7. def clone(): AnyRef

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

  8. def copy(): WeibullGenerator

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    Returns a copy of the RandomDataGenerator with a new instance of the rng object used in the class when applicable for non-locking concurrent usage.

    Returns a copy of the RandomDataGenerator with a new instance of the rng object used in the class when applicable for non-locking concurrent usage.

    Definition Classes
    WeibullGenerator → RandomDataGenerator

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  13. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  16. def nextValue(): Double

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    Returns an i.i.d.

    Returns an i.i.d. sample as a generic type from an underlying distribution.

    Definition Classes
    WeibullGenerator → RandomDataGenerator

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  19. def setSeed(seed: Long): Unit

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    Set random seed.

    Set random seed.

    Definition Classes
    WeibullGenerator → Pseudorandom

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

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    Definition Classes
    AnyRef

  21. def toString(): String

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    Definition Classes
    AnyRef → Any

  22. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RandomDataGenerator[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Pseudorandom

Inherited from AnyRef

Inherited from Any

Ungrouped