org.apache.spark.mllib.random

WeibullGenerator

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
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Instance Constructors

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

    alpha

    shape parameter for the Weibull distribution.

    beta

    scale parameter for the Weibull distribution.

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. val alpha: Double

    shape parameter for the Weibull distribution.

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  8. val beta: Double

    scale parameter for the Weibull distribution.

  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. def copy(): WeibullGenerator

    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
    WeibullGeneratorRandomDataGenerator
  11. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  13. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  17. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  18. def nextValue(): Double

    Returns an i.

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

    Definition Classes
    WeibullGeneratorRandomDataGenerator
  19. final def notify(): Unit

    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  21. def setSeed(seed: Long): Unit

    Set random seed.

    Set random seed.

    Definition Classes
    WeibullGeneratorPseudorandom
  22. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  23. def toString(): String

    Definition Classes
    AnyRef → Any
  24. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RandomDataGenerator[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Pseudorandom

Inherited from AnyRef

Inherited from Any

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