org.encog.mathutil.randomize

Class RandomChoice

java.lang.Object

org.encog.mathutil.randomize.RandomChoice

All Implemented Interfaces:

java.io.Serializable

public class RandomChoice
extends java.lang.Object
implements java.io.Serializable

Generate random choices unevenly. This class is used to select random choices from a list, with a probability weight places on each item in the list. This is often called a Roulette Wheel in Machine Learning texts. How it differs from a Roulette Wheel that you might find in Las Vegas or Monte Carlo is that the areas that can be selected are not of uniform size. However, you can be sure that one will be picked. http://en.wikipedia.org/wiki/Fitness_proportionate_selection

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RandomChoice(double[] theProbabilities) Construct a list of probabilities.

Method Summary

Modifier and Type	Method and Description
int	generate(java.util.Random theGenerator) Generate a random choice, based on the probabilities provided to the constructor.
int	generate(java.util.Random theGenerator, int skip) Generate a random choice, but skip one of the choices.

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomChoice

public RandomChoice(double[] theProbabilities)

Construct a list of probabilities.

Parameters:

theProbabilities - The probability of each item in the list.

Method Detail

generate

public int generate(java.util.Random theGenerator)

Generate a random choice, based on the probabilities provided to the constructor.

Parameters:

theGenerator - The random number generator.

Returns:

The random choice.

generate

public int generate(java.util.Random theGenerator,
                    int skip)

Generate a random choice, but skip one of the choices.

Parameters:

theGenerator - The random number generator.

skip - The choice to skip.

Returns:

The random choice.