org.apache.spark.mllib.random

Interface RandomDataGenerator<T>

All Superinterfaces:

Pseudorandom, java.io.Serializable

All Known Implementing Classes:

ExponentialGenerator, GammaGenerator, LogNormalGenerator, PoissonGenerator, StandardNormalGenerator, UniformGenerator, WeibullGenerator

public interface RandomDataGenerator<T>
extends Pseudorandom, scala.Serializable

Trait for random data generators that generate i.i.d. data.

Method Summary

Modifier and Type	Method and Description
RandomDataGenerator<T>	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.
T	nextValue() Returns an i.i.d.

Methods inherited from interface org.apache.spark.util.random.Pseudorandom

setSeed

Method Detail

copy

RandomDataGenerator<T> 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.

Returns:

(undocumented)

nextValue

T nextValue()

Returns an i.i.d. sample as a generic type from an underlying distribution.

Returns:

(undocumented)