org.apache.mahout.math.random

Class AbstractSamplerFunction

java.lang.Object

org.apache.mahout.math.function.DoubleFunction

org.apache.mahout.math.random.AbstractSamplerFunction

All Implemented Interfaces:

Sampler<Double>

Direct Known Subclasses:

Empirical, Normal, PoissonSampler

public abstract class AbstractSamplerFunction
extends DoubleFunction
implements Sampler<Double>

This shim allows samplers to be used to initialize vectors.

Constructor Summary

Constructors

Constructor and Description
AbstractSamplerFunction()

Method Summary

Methods

Modifier and Type	Method and Description
double	apply(double ignored) Apply the function to the argument and return the result
abstract Double	sample()

Methods inherited from class org.apache.mahout.math.function.DoubleFunction

isDensifying

Methods inherited from class java.lang.Object

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

Constructor Detail

AbstractSamplerFunction

public AbstractSamplerFunction()

Method Detail

apply

public double apply(double ignored)

Apply the function to the argument and return the result

Specified by:

apply in class DoubleFunction

Parameters:

ignored - Ignored argument

Returns:

A sample from this distribution.

sample

public abstract Double sample()

Specified by:

sample in interface Sampler<Double>