Package org.apache.spark.mllib.random

Class WeibullGenerator

Object
org.apache.spark.mllib.random.WeibullGenerator
All Implemented Interfaces:
Serializable, RandomDataGenerator<Object>, Pseudorandom
public class WeibullGenerator extends Object implements RandomDataGenerator<Object>
Generates i.i.d. samples from the Weibull distribution with the given shape and scale parameter.

param: alpha shape parameter for the Weibull distribution. param: beta scale parameter for the Weibull distribution.

See Also:

  • Constructor Details

    • WeibullGenerator

      public WeibullGenerator(double alpha, double beta)

  • Method Details

    • alpha

      public double alpha()

    • beta

      public double beta()

    • copy

      public WeibullGenerator copy()
      Description copied from interface: RandomDataGenerator
      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.
      Specified by:
      copy in interface RandomDataGenerator<Object>
      Returns:
      (undocumented)

    • nextValue

      public double nextValue()
      Description copied from interface: RandomDataGenerator
      Returns an i.i.d. sample as a generic type from an underlying distribution.
      Specified by:
      nextValue in interface RandomDataGenerator<Object>
      Returns:
      (undocumented)

    • setSeed

      public void setSeed(long seed)
      Description copied from interface: Pseudorandom
      Set random seed.
      Specified by:
      setSeed in interface Pseudorandom