trueskill/PHPSkills/TrueSkill/Factors/GaussianLikelihoodFactor.php

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<?php
namespace Moserware\Skills\TrueSkill\Factors;
require_once(dirname(__FILE__) . "/GaussianFactor.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Message.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../../Numerics/GaussianDistribution.php");
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\FactorGraphs\Message;
use Moserware\Skills\FactorGraphs\Variable;
/// <summary>
/// Connects two variables and adds uncertainty.
/// </summary>
/// <remarks>See the accompanying math paper for more details.</remarks>
class GaussianLikelihoodFactor extends GaussianFactor
{
private $_precision;
public function __construct($betaSquared, Variable &$variable1, Variable &$variable2)
{
parent::__construct(sprintf("Likelihood of %s going to %s", $variable2, $variable1));
$this->_precision = 1.0/$betaSquared;
$this->createVariableToMessageBinding($variable1);
$this->createVariableToMessageBinding($variable2);
}
public function getLogNormalization()
{
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$vars = &$this->getVariables();
$messages = &$this->getMessages();
return GaussianDistribution::logRatioNormalization(
$vars[0]->getValue(),
$messages[0]->getValue());
}
private function updateHelper(Message &$message1, Message &$message2,
Variable &$variable1, Variable &$variable2)
{
$message1Value = clone $message1->getValue();
$message2Value = clone $message2->getValue();
$marginal1 = clone $variable1->getValue();
$marginal2 = clone $variable2->getValue();
$a = $this->_precision/($this->_precision + $marginal2->getPrecision() - $message2Value->getPrecision());
$newMessage = GaussianDistribution::fromPrecisionMean(
$a*($marginal2->getPrecisionMean() - $message2Value->getPrecisionMean()),
$a*($marginal2->getPrecision() - $message2Value->getPrecision()));
$oldMarginalWithoutMessage = GaussianDistribution::divide($marginal1, $message1Value);
$newMarginal = GaussianDistribution::multiply($oldMarginalWithoutMessage, $newMessage);
/// Update the message and marginal
$message1->setValue($newMessage);
$variable1->setValue($newMarginal);
/// Return the difference in the new marginal
return GaussianDistribution::subtract($newMarginal, $marginal1);
}
public function updateMessageIndex($messageIndex)
{
$messages = &$this->getMessages();
$vars = &$this->getVariables();
switch ($messageIndex)
{
case 0:
return $this->updateHelper($messages[0], $messages[1],
$vars[0], $vars[1]);
case 1:
return $this->updateHelper($messages[1], $messages[0],
$vars[1], $vars[0]);
default:
throw new Exception();
}
}
}
?>