Packages

c

org.apache.spark.mllib.random

WeibullGenerator

class WeibullGenerator extends RandomDataGenerator[Double]

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

Linear Supertypes
RandomDataGenerator[Double], Serializable, Pseudorandom, AnyRef, Any
Ordering
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Inherited
  1. WeibullGenerator
  2. RandomDataGenerator
  3. Serializable
  4. Pseudorandom
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. Protected

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: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. val alpha: Double
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. val beta: Double
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  8. 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
    WeibullGenerator → RandomDataGenerator
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  12. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def nextValue(): Double

    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
    Definition Classes
    AnyRef
    Annotations
    @native()
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. def setSeed(seed: Long): Unit
    Definition Classes
    WeibullGenerator → Pseudorandom
  20. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  21. def toString(): String
    Definition Classes
    AnyRef → Any
  22. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  24. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from RandomDataGenerator[Double]

Inherited from Serializable

Inherited from Pseudorandom

Inherited from AnyRef

Inherited from Any

Ungrouped