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https://github.com/furyfire/trueskill.git
synced 2025-01-15 17:37:39 +00:00
Some reference updates and adding the needed array(...) scope to existing data for single team values
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@ -22,8 +22,8 @@ abstract class GaussianFactor extends Factor
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/// Sends the factor-graph message with and returns the log-normalization constant
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protected function sendMessageVariable(Message &$message, Variable &$variable)
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{
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$marginal = $variable->getValue();
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$messageValue = $message->getValue();
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$marginal = &$variable->getValue();
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$messageValue = &$message->getValue();
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$logZ = GaussianDistribution::logProductNormalization($marginal, $messageValue);
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$variable->setValue($marginal*$messageValue);
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return $logZ;
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@ -22,17 +22,17 @@ class GaussianGreaterThanFactor extends GaussianFactor
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public function __construct($epsilon, Variable &$variable)
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{
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parent::_construct("{0} > {1:0.000}");
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parent::__construct("{0} > {1:0.000}");
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$this->_epsilon = $epsilon;
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$this->createVariableToMessageBinding($variable);
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}
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public function getLogNormalization()
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{
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$vars = $this->getVariables();
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$marginal = $vars[0]->getValue();
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$messages = $this->getMessages();
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$message = $messages[0]->getValue();
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$vars = &$this->getVariables();
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$marginal = &$vars[0]->getValue();
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$messages = &$this->getMessages();
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$message = &$messages[0]->getValue();
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$messageFromVariable = GaussianDistribution::divide($marginal, $message);
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return -GaussianDistribution::logProductNormalization($messageFromVariable, $message)
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+
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@ -2,14 +2,16 @@
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namespace Moserware\Skills\TrueSkill\Factors;
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require_once(dirname(__FILE__) . "/GaussianFactor.php");
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require_once(dirname(__FILE__) . "/../../Guard.php");
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require_once(dirname(__FILE__) . "/../../FactorGraphs/Message.php");
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require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
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require_once(dirname(__FILE__) . "/../../Numerics/GaussianDistribution.php");
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require_once(dirname(__FILE__) . "/../../Numerics/BasicMath.php");
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use Moserware\Numerics\GaussianDistribution;
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use Moserware\Skills\Guard;
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use Moserware\Skills\FactorGraphs\Message;
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use Moserware\Skills\FactorGraphs\Variable;
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@ -40,9 +42,9 @@ class GaussianWeightedSumFactor extends GaussianFactor
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for($i = 0; $i < $variableWeightsLength; $i++)
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{
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$weight = $variableWeights[$i];
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$weight = &$variableWeights[$i];
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$this->_weights[0][$i] = $weight;
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$this->_weightsSquared[0][$i] = $weight * $weight;
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$this->_weightsSquared[0][$i] = square($weight);
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}
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$variablesToSumLength = count($variablesToSum);
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@ -123,8 +125,8 @@ class GaussianWeightedSumFactor extends GaussianFactor
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public function getLogNormalization()
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{
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$vars = $this->getVariables();
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$messages = $this->getMessages();
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$vars = &$this->getVariables();
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$messages = &$this->getMessages();
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$result = 0.0;
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@ -132,7 +134,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
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$varCount = count($vars);
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for ($i = 1; $i < $varCount; $i++)
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{
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$result += GaussianDistribution::logRatioNormalization($vars[i]->getValue(), $messages[i]->getValue());
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$result += GaussianDistribution::logRatioNormalization($vars[$i]->getValue(), $messages[$i]->getValue());
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}
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return $result;
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@ -145,7 +147,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
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// Potentially look at http://mathworld.wolfram.com/NormalSumDistribution.html for clues as
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// to what it's doing
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$messages = $this->getMessages();
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$messages = &$this->getMessages();
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$message0 = clone $messages[0]->getValue();
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$marginal0 = clone $variables[0]->getValue();
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@ -161,13 +163,13 @@ class GaussianWeightedSumFactor extends GaussianFactor
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{
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// These flow directly from the paper
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$inverseOfNewPrecisionSum += $weightsSquared[i]/
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$inverseOfNewPrecisionSum += $weightsSquared[$i]/
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($variables[$i + 1]->getValue()->getPrecision() - $messages[$i + 1]->getValue()->getPrecision());
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$diff = GaussianDistribution::divide($variables[$i + 1]->getValue(), $messages[$i + 1]->getValue());
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$anotherInverseOfNewPrecisionSum += $weightsSquared[i]/$diff->getPrecision();
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$anotherInverseOfNewPrecisionSum += $weightsSquared[$i]/$diff->getPrecision();
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$weightedMeanSum += $weights[i]
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$weightedMeanSum += $weights[$i]
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*
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($variables[$i + 1]->getValue()->getPrecisionMean() - $messages[$i + 1]->getValue()->getPrecisionMean())
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/
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@ -199,21 +201,21 @@ class GaussianWeightedSumFactor extends GaussianFactor
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public function updateMessageIndex($messageIndex)
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{
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$allMessages = $this->getMessages();
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$allVariables = $this->getVariables();
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$allMessages = &$this->getMessages();
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$allVariables = &$this->getVariables();
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Guard::argumentIsValidIndex($messageIndex, count($allMessages),"messageIndex");
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Guard::argumentIsValidIndex($messageIndex, count($allMessages), "messageIndex");
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$updatedMessages = array();
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$updatedVariables = array();
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$indicesToUse = $this->_variableIndexOrdersForWeights[$messageIndex];
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$indicesToUse = &$this->_variableIndexOrdersForWeights[$messageIndex];
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// The tricky part here is that we have to put the messages and variables in the same
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// order as the weights. Thankfully, the weights and messages share the same index numbers,
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// so we just need to make sure they're consistent
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$allMessagesCount = count($allMessages);
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for ($i = 0; i < $allMessagesCount; $i++)
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for ($i = 0; $i < $allMessagesCount; $i++)
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{
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$updatedMessages[] =$allMessages[$indicesToUse[$i]];
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$updatedVariables[] = $allVariables[$indicesToUse[$i]];
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@ -28,11 +28,11 @@ class GaussianWithinFactor extends GaussianFactor
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public function getLogNormalization()
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{
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$variables = $this->getVariables();
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$marginal = $variables[0]->getValue();
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$variables = &$this->getVariables();
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$marginal = &$variables[0]->getValue();
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$messages = $this->getMessages();
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$message = $messages[0]->getValue();
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$messages = &$this->getMessages();
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$message = &$messages[0]->getValue();
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$messageFromVariable = GaussianDistribution::divide($marginal, $message);
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$mean = $messageFromVariable->getMean();
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$std = $messageFromVariable->getStandardDeviation();
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@ -29,7 +29,7 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
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public function buildLayer()
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{
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$inputVariablesGroups = $this->getInputVariablesGroups();
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$inputVariablesGroups = &$this->getInputVariablesGroups();
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$this->_TeamPerformancesToTeamPerformanceDifferencesLayer->setInputVariablesGroups($inputVariablesGroups);
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$this->_TeamPerformancesToTeamPerformanceDifferencesLayer->buildLayer();
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@ -58,7 +58,7 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
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$totalTeamDifferences = count($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors());
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$totalTeams = $totalTeamDifferences + 1;
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$localFactors = $this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
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$localFactors = &$this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
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$innerSchedule = new ScheduleSequence(
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"inner schedule",
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array(
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@ -72,16 +72,15 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
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)
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);
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return innerSchedule;
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return $innerSchedule;
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}
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private function createTwoTeamInnerPriorLoopSchedule()
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{
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
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$teamDifferencesComparisonLayerLocalFactors = $this->_TeamDifferencesComparisonLayer->getLocalFactors();
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = &$this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
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$teamDifferencesComparisonLayerLocalFactors = &$this->_TeamDifferencesComparisonLayer->getLocalFactors();
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return $this->scheduleSequence(
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array(
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$itemsToSequence = array(
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new ScheduleStep(
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"send team perf to perf differences",
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors[0],
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@ -90,7 +89,10 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
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"send to greater than or within factor",
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$teamDifferencesComparisonLayerLocalFactors[0],
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0)
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),
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);
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return $this->scheduleSequence(
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$itemsToSequence,
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"loop of just two teams inner sequence");
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}
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@ -102,8 +104,8 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
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for ($i = 0; $i < $totalTeamDifferences - 1; $i++)
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{
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
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$teamDifferencesComparisonLayerLocalFactors = $this->_TeamDifferencesComparisonLayer->getLocalFactors();
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = &$this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
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$teamDifferencesComparisonLayerLocalFactors = &$this->_TeamDifferencesComparisonLayer->getLocalFactors();
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$currentForwardSchedulePiece =
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$this->scheduleSequence(
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@ -119,7 +121,7 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors[$i], 2)
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), sprintf("current forward schedule piece %d", $i));
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$forwardScheduleList[] = $currentForwardSchedulePiece;
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$forwardScheduleList[] = &$currentForwardSchedulePiece;
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}
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$forwardSchedule = new ScheduleSequence("forward schedule", $forwardScheduleList);
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@ -128,8 +130,8 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
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for ($i = 0; $i < $totalTeamDifferences - 1; $i++)
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{
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
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$teamDifferencesComparisonLayerLocalFactors = $this->_TeamDifferencesComparisonLayer->getLocalFactors();
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = &$this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
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$teamDifferencesComparisonLayerLocalFactors = &$this->_TeamDifferencesComparisonLayer->getLocalFactors();
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$currentBackwardSchedulePiece = new ScheduleSequence(
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"current backward schedule piece",
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@ -144,7 +146,7 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
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sprintf("teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - %d] @ 1", $i),
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$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors[$totalTeamDifferences - 1 - $i], 1)
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));
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$backwardScheduleList[] = $currentBackwardSchedulePiece;
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$backwardScheduleList[] = &$currentBackwardSchedulePiece;
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}
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$backwardSchedule = new ScheduleSequence("backward schedule", $backwardScheduleList);
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@ -27,7 +27,7 @@ class TeamDifferencesComparisonLayer extends TrueSkillFactorGraphLayer
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public function buildLayer()
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{
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$inputVarGroups = $this->getInputVariablesGroups();
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$inputVarGroups = &$this->getInputVariablesGroups();
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$inputVarGroupsCount = count($inputVarGroups);
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for ($i = 0; $i < $inputVarGroupsCount; $i++)
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@ -28,13 +28,13 @@ class TeamPerformancesToTeamPerformanceDifferencesLayer extends TrueSkillFactorG
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$strongerTeam = $inputVariablesGroups[$i][0];
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$weakerTeam = $inputVariablesGroups[$i + 1][0];
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$currentDifference = $this->createOutputVariable();
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$newDifferencesFactor = $this->createTeamPerformanceToDifferenceFactor($strongerTeam, $weakerTeam, $currentDifference);
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$currentDifference = &$this->createOutputVariable();
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$newDifferencesFactor = &$this->createTeamPerformanceToDifferenceFactor($strongerTeam, $weakerTeam, $currentDifference);
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$this->addLayerFactor($newDifferencesFactor);
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// REVIEW: Does it make sense to have groups of one?
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$outputVariablesGroup = $this->getOutputVariablesGroups();
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$outputVariablesGroup[] = $currentDifference;
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$outputVariablesGroup = &$this->getOutputVariablesGroups();
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$outputVariablesGroup[] = array($currentDifference);
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}
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}
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@ -107,10 +107,10 @@ class TrueSkillFactorGraph extends FactorGraph
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foreach ($this->_layers as $currentLayer)
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{
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$currentPriorSchedule = $currentLayer->createPriorSchedule();
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$currentPriorSchedule = &$currentLayer->createPriorSchedule();
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if ($currentPriorSchedule != null)
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{
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$fullSchedule[] = $currentPriorSchedule;
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$fullSchedule[] = &$currentPriorSchedule;
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}
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}
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