Package org.apache.spark.mllib.random

Class StandardNormalGenerator

Object

org.apache.spark.mllib.random.StandardNormalGenerator

All Implemented Interfaces:

Serializable, RandomDataGenerator<Object>, Pseudorandom

public class StandardNormalGenerator
extends Object
implements RandomDataGenerator<Object>

Generates i.i.d. samples from the standard normal distribution.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
StandardNormalGenerator()

Method Summary

Modifier and Type	Method	Description
StandardNormalGenerator	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 java.lang.Object

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

Constructor Details

StandardNormalGenerator

public StandardNormalGenerator()

Method Details

copy

public StandardNormalGenerator 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