org.apache.spark.mllib.random

Class WeibullGenerator

Object

org.apache.spark.mllib.random.WeibullGenerator

All Implemented Interfaces:

java.io.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:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeibullGenerator(double alpha, double beta)

Method Summary

Modifier and Type	Method and Description
double	alpha()
double	beta()
WeibullGenerator	copy() 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.
double	nextValue() Returns an i.i.d.
void	setSeed(long seed) Set random seed.

Methods inherited from class Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

WeibullGenerator

public WeibullGenerator(double alpha,
                        double beta)

Method Detail

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