Package org.apache.spark.mllib.random

Class ExponentialGenerator

Object

org.apache.spark.mllib.random.ExponentialGenerator

All Implemented Interfaces:

Serializable, RandomDataGenerator<Object>, Pseudorandom

public class ExponentialGenerator
extends Object
implements RandomDataGenerator<Object>

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

param: mean mean for the exponential distribution.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
ExponentialGenerator(double mean)

Method Summary

Modifier and Type	Method	Description
ExponentialGenerator	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

ExponentialGenerator

public ExponentialGenerator(double mean)

Method Details

copy

public ExponentialGenerator 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