org.apache.spark.mllib.random

Class GammaGenerator

Object

org.apache.spark.mllib.random.GammaGenerator

All Implemented Interfaces:

java.io.Serializable, RandomDataGenerator<Object>, Pseudorandom

public class GammaGenerator
extends Object
implements RandomDataGenerator<Object>

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

param: shape shape for the gamma distribution. param: scale scale for the gamma distribution

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
GammaGenerator(double shape, double scale)

Method Summary

Methods

Modifier and Type	Method and Description
GammaGenerator	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.
double	scale()
void	setSeed(long seed) Set random seed.
double	shape()

Methods inherited from class Object

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

Constructor Detail

GammaGenerator

public GammaGenerator(double shape,
              double scale)

Method Detail

shape

public double shape()

scale

public double scale()

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

copy

public GammaGenerator 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)