org.apache.spark.mllib.random

Class LogNormalGenerator

Object

org.apache.spark.mllib.random.LogNormalGenerator

All Implemented Interfaces:

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

public class LogNormalGenerator
extends Object
implements RandomDataGenerator<Object>

Generates i.i.d. samples from the log normal distribution with the given mean and standard deviation.

param: mean mean for the log normal distribution. param: std standard deviation for the log normal distribution

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LogNormalGenerator(double mean, double std)

Method Summary

Modifier and Type	Method and Description
LogNormalGenerator	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.
double	std()

Methods inherited from class Object

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

Constructor Detail

LogNormalGenerator

public LogNormalGenerator(double mean,
                          double std)

Method Detail

copy

public LogNormalGenerator 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

std

public double std()