Package org.apache.spark.mllib.random

Class PoissonGenerator

Object

org.apache.spark.mllib.random.PoissonGenerator

All Implemented Interfaces:

Serializable, RandomDataGenerator<Object>, Pseudorandom

public class PoissonGenerator
extends Object
implements RandomDataGenerator<Object>

Generates i.i.d. samples from the Poisson distribution with the given mean.

param: mean mean for the Poisson distribution.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
PoissonGenerator(double mean)

Method Summary

Modifier and Type	Method	Description
PoissonGenerator	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	mean()
double	nextValue()	Returns an i.i.d.
void	setSeed(long seed)	Set random seed.

Methods inherited from class java.lang.Object

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

Constructor Details

PoissonGenerator

public PoissonGenerator(double mean)

Method Details

copy

public PoissonGenerator 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)

mean

public double mean()

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