Cleanup in src/, adding namespaces, removing php closing tag and general code cleanup

This commit is contained in:
Alexander Liljengård 2016-05-24 14:10:39 +02:00
parent 9f97eb1653
commit 5694a2fb30
64 changed files with 891 additions and 1328 deletions

@ -1,7 +1,4 @@
<?php
namespace Moserware\Skills\Elo;
require_once(dirname(__FILE__) . '/../Rating.php');
<?php namespace Moserware\Skills\Elo;
use Moserware\Skills\Rating;
@ -10,10 +7,8 @@ use Moserware\Skills\Rating;
*/
class EloRating extends Rating
{
public function __construct($rating)
public function __construct($rating)
{
parent::__construct($rating, 0);
}
}
?>
}

@ -1,17 +1,13 @@
<?php
<?php namespace Moserware\Skills\Elo;
namespace Moserware\Skills\Elo;
require_once(dirname(__FILE__) . "/FideKFactor.php");
require_once(dirname(__FILE__) . "/TwoPlayerEloCalculator.php");
/** Including Elo's scheme as a simple comparison.
* See http://en.wikipedia.org/wiki/Elo_rating_system#Theory
* for more details
/**
* Including Elo's scheme as a simple comparison.
* See http://en.wikipedia.org/wiki/Elo_rating_system#Theory
* for more details
*/
class FideEloCalculator extends TwoPlayerEloCalculator
{
public function __construct(FideKFactor $kFactor)
public function __construct(FideKFactor $kFactor)
{
parent::__construct($kFactor);
}
@ -31,11 +27,9 @@ class FideEloCalculator extends TwoPlayerEloCalculator
$ratingDifference = $opponentRating - $playerRating;
return 1.0
/
(
1.0 + pow(10.0, $ratingDifference / (2 * $gameInfo->getBeta()))
);
}
}
?>
/
(
1.0 + pow(10.0, $ratingDifference / (2 * $gameInfo->getBeta()))
);
}
}

@ -1,30 +1,14 @@
<?php
namespace Moserware\Skills\Elo;
require_once(dirname(__FILE__) . "/KFactor.php");
<?php namespace Moserware\Skills\Elo;
// see http://ratings.fide.com/calculator_rtd.phtml for details
class FideKFactor extends KFactor
{
public function getValueForRating($rating)
{
if ($rating < 2400)
{
if ($rating < 2400) {
return 15;
}
return 10;
}
}
/**
* Indicates someone who has played less than 30 games.
*/
class ProvisionalFideKFactor extends FideKFactor
{
public function getValueForRating($rating)
{
return 25;
}
}
?>
}

@ -1,10 +1,4 @@
<?php
namespace Moserware\Skills\Elo;
require_once(dirname(__FILE__) . "/../GameInfo.php");
require_once(dirname(__FILE__) . "/../Numerics/GaussianDistribution.php");
require_once(dirname(__FILE__) . "/KFactor.php");
require_once(dirname(__FILE__) . "/TwoPlayerEloCalculator.php");
<?php namespace Moserware\Skills\Elo;
use Moserware\Skills\GameInfo;
use Moserware\Numerics\GaussianDistribution;
@ -29,6 +23,4 @@ class GaussianEloCalculator extends TwoPlayerEloCalculator
/
(sqrt(2) * $gameInfo->getBeta()));
}
}
?>
}

@ -1,11 +1,9 @@
<?php
namespace Moserware\Skills\Elo;
<?php namespace Moserware\Skills\Elo;
class KFactor
{
const DEFAULT_KFACTOR = 24;
private $_value;
public function __construct($exactKFactor = self::DEFAULT_KFACTOR)
@ -17,6 +15,4 @@ class KFactor
{
return $this->_value;
}
}
?>
}

@ -0,0 +1,12 @@
<?php namespace Moserware\Skills\Elo;
/**
* Indicates someone who has played less than 30 games.
*/
class ProvisionalFideKFactor extends FideKFactor
{
public function getValueForRating($rating)
{
return 25;
}
}

@ -1,13 +1,4 @@
<?php
namespace Moserware\Skills\Elo;
require_once(dirname(__FILE__) . "/../PairwiseComparison.php");
require_once(dirname(__FILE__) . "/../RankSorter.php");
require_once(dirname(__FILE__) . "/../SkillCalculator.php");
require_once(dirname(__FILE__) . "/../PlayersRange.php");
require_once(dirname(__FILE__) . "/../TeamsRange.php");
<?php namespace Moserware\Skills\Elo;
use Moserware\Skills\PairwiseComparison;
use Moserware\Skills\RankSorter;
@ -100,6 +91,4 @@ abstract class TwoPlayerEloCalculator extends SkillCalculator
$deltaFrom50Percent = abs(getPlayerWinProbability($gameInfo, $player1Rating, $player2Rating) - 0.5);
return (0.5 - $deltaFrom50Percent) / 0.5;
}
}
?>
}

@ -0,0 +1,21 @@
<?php namespace Moserware\Skills\FactorGraphs;
use Exception;
class DefaultVariable extends Variable
{
public function __construct()
{
parent::__construct("Default", null);
}
public function &getValue()
{
return null;
}
public function setValue(&$value)
{
throw new Exception();
}
}

@ -1,11 +1,6 @@
<?php
namespace Moserware\Skills\FactorGraphs;
require_once(dirname(__FILE__) . "/../Guard.php");
require_once(dirname(__FILE__) . "/../HashMap.php");
require_once(dirname(__FILE__) . "/Message.php");
require_once(dirname(__FILE__) . "/Variable.php");
<?php namespace Moserware\Skills\FactorGraphs;
use Exception;
use Moserware\Skills\Guard;
use Moserware\Skills\HashMap;
@ -38,12 +33,12 @@ abstract class Factor
{
return count($this->_messages);
}
protected function &getVariables()
{
return $this->_variables;
}
protected function &getMessages()
{
return $this->_messages;
@ -56,7 +51,7 @@ abstract class Factor
{
Guard::argumentIsValidIndex($messageIndex, count($this->_messages), "messageIndex");
$message = &$this->_messages[$messageIndex];
$variable = &$this->_messageToVariableBinding->getValue($message);
$variable = &$this->_messageToVariableBinding->getValue($message);
return $this->updateMessageVariable($message, $variable);
}
@ -71,8 +66,7 @@ abstract class Factor
public function resetMarginals()
{
$allValues = &$this->_messageToVariableBinding->getAllValues();
foreach ($allValues as &$currentVariable)
{
foreach ($allValues as &$currentVariable) {
$currentVariable->resetToPrior();
}
}
@ -108,6 +102,4 @@ abstract class Factor
{
return ($this->_name != null) ? $this->_name : base::__toString();
}
}
?>
}

@ -1,7 +1,4 @@
<?php
namespace Moserware\Skills\FactorGraphs;
require_once(dirname(__FILE__) . "/VariableFactory.php");
<?php namespace Moserware\Skills\FactorGraphs;
class FactorGraph
{
@ -17,5 +14,4 @@ class FactorGraph
{
$this->_variableFactory = &$factory;
}
}
?>
}

@ -1,9 +1,4 @@
<?php
namespace Moserware\Skills\FactorGraphs;
require_once(dirname(__FILE__) . "/Factor.php");
require_once(dirname(__FILE__) . "/FactorGraph.php");
require_once(dirname(__FILE__) . "/Schedule.php");
<?php namespace Moserware\Skills\FactorGraphs;
abstract class FactorGraphLayer
{
@ -69,6 +64,4 @@ abstract class FactorGraphLayer
{
return null;
}
}
?>
}

@ -1,8 +1,4 @@
<?php
namespace Moserware\Skills\FactorGraphs;
require_once(dirname(__FILE__) . "/Factor.php");
<?php namespace Moserware\Skills\FactorGraphs;
/**
* Helper class for computing the factor graph's normalization constant.
@ -14,8 +10,7 @@ class FactorList
public function getLogNormalization()
{
$list = &$this->_list;
foreach($list as &$currentFactor)
{
foreach ($list as &$currentFactor) {
$currentFactor->resetMarginals();
}
@ -23,22 +18,19 @@ class FactorList
$listCount = count($this->_list);
for ($i = 0; $i < $listCount; $i++)
{
for ($i = 0; $i < $listCount; $i++) {
$f = $this->_list[$i];
$numberOfMessages = $f->getNumberOfMessages();
for ($j = 0; $j < $numberOfMessages; $j++)
{
for ($j = 0; $j < $numberOfMessages; $j++) {
$sumLogZ += $f->sendMessageIndex($j);
}
}
$sumLogS = 0;
foreach($list as &$currentFactor)
{
foreach ($list as &$currentFactor) {
$sumLogS = $sumLogS + $currentFactor->getLogNormalization();
}
@ -55,6 +47,4 @@ class FactorList
$this->_list[] = $factor;
return $factor;
}
}
?>
}

@ -0,0 +1,18 @@
<?php namespace Moserware\Skills\FactorGraphs;
class KeyedVariable extends Variable
{
private $_key;
public function __construct(&$key, $name, &$prior)
{
parent::__construct($name, $prior);
$this->_key = &$key;
}
public function &getKey()
{
$key = &$this->_key;
return $key;
}
}

@ -1,14 +1,13 @@
<?php
namespace Moserware\Skills\FactorGraphs;
<?php namespace Moserware\Skills\FactorGraphs;
class Message
{
private $_name;
private $_name;
private $_value;
public function __construct(&$value = null, $name = null)
{
$this->_name = $name;
$this->_name = $name;
$this->_value = $value;
}
@ -19,14 +18,12 @@ class Message
}
public function setValue(&$value)
{
{
$this->_value = &$value;
}
public function __toString()
{
return $this->_name;
return (string)$this->_name;
}
}
?>
}

@ -1,7 +1,4 @@
<?php
namespace Moserware\Skills\FactorGraphs;
require_once(dirname(__FILE__) . "/Factor.php");
<?php namespace Moserware\Skills\FactorGraphs;
abstract class Schedule
{
@ -18,77 +15,4 @@ abstract class Schedule
{
return $this->_name;
}
}
class ScheduleStep extends Schedule
{
private $_factor;
private $_index;
public function __construct($name, Factor &$factor, $index)
{
parent::__construct($name);
$this->_factor = $factor;
$this->_index = $index;
}
public function visit($depth = -1, $maxDepth = 0)
{
$currentFactor = &$this->_factor;
$delta = $currentFactor->updateMessageIndex($this->_index);
return $delta;
}
}
class ScheduleSequence extends Schedule
{
private $_schedules;
public function __construct($name, array $schedules)
{
parent::__construct($name);
$this->_schedules = $schedules;
}
public function visit($depth = -1, $maxDepth = 0)
{
$maxDelta = 0;
$schedules = &$this->_schedules;
foreach ($schedules as &$currentSchedule)
{
$currentVisit = $currentSchedule->visit($depth + 1, $maxDepth);
$maxDelta = max($currentVisit, $maxDelta);
}
return $maxDelta;
}
}
class ScheduleLoop extends Schedule
{
private $_maxDelta;
private $_scheduleToLoop;
public function __construct($name, Schedule &$scheduleToLoop, $maxDelta)
{
parent::__construct($name);
$this->_scheduleToLoop = $scheduleToLoop;
$this->_maxDelta = $maxDelta;
}
public function visit($depth = -1, $maxDepth = 0)
{
$totalIterations = 1;
$delta = $this->_scheduleToLoop->visit($depth + 1, $maxDepth);
while ($delta > $this->_maxDelta)
{
$delta = $this->_scheduleToLoop->visit($depth + 1, $maxDepth);
$totalIterations++;
}
return $delta;
}
}
?>
}

@ -0,0 +1,26 @@
<?php namespace Moserware\Skills\FactorGraphs;
class ScheduleLoop extends Schedule
{
private $_maxDelta;
private $_scheduleToLoop;
public function __construct($name, Schedule &$scheduleToLoop, $maxDelta)
{
parent::__construct($name);
$this->_scheduleToLoop = $scheduleToLoop;
$this->_maxDelta = $maxDelta;
}
public function visit($depth = -1, $maxDepth = 0)
{
$totalIterations = 1;
$delta = $this->_scheduleToLoop->visit($depth + 1, $maxDepth);
while ($delta > $this->_maxDelta) {
$delta = $this->_scheduleToLoop->visit($depth + 1, $maxDepth);
$totalIterations++;
}
return $delta;
}
}

@ -0,0 +1,25 @@
<?php namespace Moserware\Skills\FactorGraphs;
class ScheduleSequence extends Schedule
{
private $_schedules;
public function __construct($name, array $schedules)
{
parent::__construct($name);
$this->_schedules = $schedules;
}
public function visit($depth = -1, $maxDepth = 0)
{
$maxDelta = 0;
$schedules = &$this->_schedules;
foreach ($schedules as &$currentSchedule) {
$currentVisit = $currentSchedule->visit($depth + 1, $maxDepth);
$maxDelta = max($currentVisit, $maxDelta);
}
return $maxDelta;
}
}

@ -0,0 +1,21 @@
<?php namespace Moserware\Skills\FactorGraphs;
class ScheduleStep extends Schedule
{
private $_factor;
private $_index;
public function __construct($name, Factor &$factor, $index)
{
parent::__construct($name);
$this->_factor = $factor;
$this->_index = $index;
}
public function visit($depth = -1, $maxDepth = 0)
{
$currentFactor = &$this->_factor;
$delta = $currentFactor->updateMessageIndex($this->_index);
return $delta;
}
}

@ -16,12 +16,12 @@ class Variable
public function &getValue()
{
$value = &$this->_value;
$value = &$this->_value;
return $value;
}
public function setValue(&$value)
{
{
$this->_value = &$value;
}
@ -34,40 +34,4 @@ class Variable
{
return $this->_name;
}
}
class DefaultVariable extends Variable
{
public function __construct()
{
parent::__construct("Default", null);
}
public function &getValue()
{
return null;
}
public function setValue(&$value)
{
throw new Exception();
}
}
class KeyedVariable extends Variable
{
private $_key;
public function __construct(&$key, $name, &$prior)
{
parent::__construct($name, $prior);
$this->_key = &$key;
}
public function &getKey()
{
$key = &$this->_key;
return $key;
}
}
?>
}

@ -1,8 +1,4 @@
<?php
namespace Moserware\Skills\FactorGraphs;
require_once(dirname(__FILE__) . "/Variable.php");
<?php namespace Moserware\Skills\FactorGraphs;
class VariableFactory
{
@ -28,5 +24,3 @@ class VariableFactory
return $newVar;
}
}
?>

@ -1,9 +1,4 @@
<?php
namespace Moserware\Skills;
require_once(dirname(__FILE__) . "/Rating.php");
<?php namespace Moserware\Skills;
/**
* Parameters about the game for calculating the TrueSkill.
@ -20,12 +15,12 @@ class GameInfo
private $_initialStandardDeviation;
private $_beta;
private $_dynamicsFactor;
private $_drawProbability;
public function __construct($initialMean = self::DEFAULT_INITIAL_MEAN,
$initialStandardDeviation = self::DEFAULT_INITIAL_STANDARD_DEVIATION,
$beta = self::DEFAULT_BETA,
$dynamicsFactor = self::DEFAULT_DYNAMICS_FACTOR,
private $_drawProbability;
public function __construct($initialMean = self::DEFAULT_INITIAL_MEAN,
$initialStandardDeviation = self::DEFAULT_INITIAL_STANDARD_DEVIATION,
$beta = self::DEFAULT_BETA,
$dynamicsFactor = self::DEFAULT_DYNAMICS_FACTOR,
$drawProbability = self::DEFAULT_DRAW_PROBABILITY)
{
$this->_initialMean = $initialMean;
@ -33,19 +28,19 @@ class GameInfo
$this->_beta = $beta;
$this->_dynamicsFactor = $dynamicsFactor;
$this->_drawProbability = $drawProbability;
}
}
public function getInitialMean()
{
{
return $this->_initialMean;
}
public function getInitialStandardDeviation()
{
return $this->_initialStandardDeviation;
}
public function getBeta()
{
return $this->_beta;
@ -55,7 +50,7 @@ class GameInfo
{
return $this->_dynamicsFactor;
}
public function getDrawProbability()
{
return $this->_drawProbability;
@ -65,6 +60,4 @@ class GameInfo
{
return new Rating($this->_initialMean, $this->_initialStandardDeviation);
}
}
?>
}

@ -1,35 +1,32 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
use Exception;
/**
* Verifies argument contracts.
*
*
* @see http://www.moserware.com/2008/01/borrowing-ideas-from-3-interesting.html
*/
class Guard
{
public static function argumentNotNull($value, $parameterName)
{
if ($value == null)
{
if ($value == null) {
throw new Exception($parameterName . " can not be null");
}
}
public static function argumentIsValidIndex($index, $count, $parameterName)
{
if (($index < 0) || ($index >= $count))
{
if (($index < 0) || ($index >= $count)) {
throw new Exception($parameterName . " is an invalid index");
}
}
public static function argumentInRangeInclusive($value, $min, $max, $parameterName)
{
if (($value < $min) || ($value > $max))
{
if (($value < $min) || ($value > $max)) {
throw new Exception($parameterName . " is not in the valid range [" . $min . ", " . $max . "]");
}
}
}
?>
}

@ -1,6 +1,4 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
/**
* Basic hashmap that supports object keys.
@ -27,29 +25,27 @@ class HashMap
public function &getAllKeys()
{
$keys = &\array_values($this->_hashToKey);
$keys = &array_values($this->_hashToKey);
return $keys;
}
public function getAllValues()
{
$values = &\array_values($this->_hashToValue);
$values = &array_values($this->_hashToValue);
return $values;
}
public function count()
{
return \count($this->_hashToKey);
{
return count($this->_hashToKey);
}
private static function getHash(&$key)
{
if(\is_object($key))
{
return \spl_object_hash($key);
if (is_object($key)) {
return spl_object_hash($key);
}
return $key;
}
}
?>
}

@ -1,16 +1,12 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
/**
* Indicates support for allowing partial play (where a player only plays a part of the time).
*/
interface ISupportPartialPlay
{
/**
* Indicates the percent of the time the player should be weighted where 0.0 indicates the player didn't play and 1.0 indicates the player played 100% of the time.
*/
public function getPartialPlayPercentage();
}
?>
}

@ -1,5 +1,4 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
interface ISupportPartialUpdate
{
@ -7,5 +6,4 @@ interface ISupportPartialUpdate
* Indicated how much of a skill update a player should receive where 0.0 represents no update and 1.0 represents 100% of the update.
*/
public function getPartialUpdatePercentage();
}
?>
}

@ -1,31 +1,30 @@
<?php
<?php namespace Moserware\Skills\Numerics;
/**
* Basic math functions.
*
* @author Jeff Moser <jeff@moserware.com>
* @copyright 2010 Jeff Moser
*/
class BasicMatch {
/**
* Squares the input (x^2 = x * x)
* @param number $x Value to square (x)
* @return number The squared value (x^2)
*/
function square($x)
{
return $x * $x;
}
/**
* Squares the input (x^2 = x * x)
* @param number $x Value to square (x)
* @return number The squared value (x^2)
*/
public static function square($x) {
return $x * $x;
}
/**
* Sums the items in $itemsToSum
* @param array $itemsToSum The items to sum,
* @param callback $callback The function to apply to each array element before summing.
* @return number The sum.
*/
function sum(array $itemsToSum, $callback )
{
$mappedItems = array_map($callback, $itemsToSum);
return array_sum($mappedItems);
}
?>
/**
* Sums the items in $itemsToSum
* @param array $itemsToSum The items to sum,
* @param callback $callback The function to apply to each array element before summing.
* @return number The sum.
*/
public static function sum(array $itemsToSum, $callback) {
$mappedItems = array_map($callback, $itemsToSum);
return array_sum($mappedItems);
}
}

@ -0,0 +1,23 @@
<?php namespace Moserware\Skills\Numerics;
class DiagonalMatrix extends Matrix
{
public function __construct(array $diagonalValues)
{
$diagonalCount = count($diagonalValues);
$rowCount = $diagonalCount;
$colCount = $rowCount;
parent::__construct($rowCount, $colCount);
for ($currentRow = 0; $currentRow < $rowCount; $currentRow++) {
for ($currentCol = 0; $currentCol < $colCount; $currentCol++) {
if ($currentRow == $currentCol) {
$this->setValue($currentRow, $currentCol, $diagonalValues[$currentRow]);
} else {
$this->setValue($currentRow, $currentCol, 0);
}
}
}
}
}

@ -1,8 +1,4 @@
<?php
namespace Moserware\Numerics;
require_once(dirname(__FILE__) . "/basicmath.php");
<?php namespace Moserware\Skills\Numerics;
/**
* Computes Gaussian (bell curve) values.
@ -14,49 +10,43 @@ class GaussianDistribution
{
private $_mean;
private $_standardDeviation;
// precision and precisionMean are used because they make multiplying and dividing simpler
// (the the accompanying math paper for more details)
private $_precision;
private $_precisionMean;
private $_variance;
function __construct($mean = 0.0, $standardDeviation = 1.0)
{
$this->_mean = $mean;
public function __construct($mean = 0.0, $standardDeviation = 1.0)
{
$this->_mean = $mean;
$this->_standardDeviation = $standardDeviation;
$this->_variance = square($standardDeviation);
$this->_variance = BasicMatch::square($standardDeviation);
if($this->_variance != 0)
{
$this->_precision = 1.0/$this->_variance;
$this->_precisionMean = $this->_precision*$this->_mean;
}
else
{
if ($this->_variance != 0) {
$this->_precision = 1.0 / $this->_variance;
$this->_precisionMean = $this->_precision * $this->_mean;
} else {
$this->_precision = \INF;
if($this->_mean == 0)
{
if ($this->_mean == 0) {
$this->_precisionMean = 0;
}
else
{
} else {
$this->_precisionMean = \INF;
}
}
}
}
public function getMean()
{
return $this->_mean;
}
public function getVariance()
{
return $this->_variance;
}
public function getStandardDeviation()
{
return $this->_standardDeviation;
@ -71,13 +61,13 @@ class GaussianDistribution
{
return $this->_precisionMean;
}
public function getNormalizationConstant()
{
{
// Great derivation of this is at http://www.astro.psu.edu/~mce/A451_2/A451/downloads/notes0.pdf
return 1.0/(sqrt(2*M_PI)*$this->_standardDeviation);
return 1.0 / (sqrt(2 * M_PI) * $this->_standardDeviation);
}
public function __clone()
{
$result = new GaussianDistribution();
@ -88,35 +78,32 @@ class GaussianDistribution
$result->_precisionMean = $this->_precisionMean;
return $result;
}
public static function fromPrecisionMean($precisionMean, $precision)
{
$result = new GaussianDistribution();
$result->_precision = $precision;
$result->_precisionMean = $precisionMean;
if($precision != 0)
{
$result->_variance = 1.0/$precision;
if ($precision != 0) {
$result->_variance = 1.0 / $precision;
$result->_standardDeviation = sqrt($result->_variance);
$result->_mean = $result->_precisionMean/$result->_precision;
}
else
{
$result->_mean = $result->_precisionMean / $result->_precision;
} else {
$result->_variance = \INF;
$result->_standardDeviation = \INF;
$result->_mean = \NAN;
}
return $result;
}
// For details, see http://www.tina-vision.net/tina-knoppix/tina-memo/2003-003.pdf
// for multiplication, the precision mean ones are easier to write :)
public static function multiply(GaussianDistribution $left, GaussianDistribution $right)
{
return GaussianDistribution::fromPrecisionMean($left->_precisionMean + $right->_precisionMean, $left->_precision + $right->_precision);
}
// Computes the absolute difference between two Gaussians
public static function absoluteDifference(GaussianDistribution $left, GaussianDistribution $right)
{
@ -130,43 +117,41 @@ class GaussianDistribution
{
return GaussianDistribution::absoluteDifference($left, $right);
}
public static function logProductNormalization(GaussianDistribution $left, GaussianDistribution $right)
{
if (($left->_precision == 0) || ($right->_precision == 0))
{
if (($left->_precision == 0) || ($right->_precision == 0)) {
return 0;
}
$varianceSum = $left->_variance + $right->_variance;
$meanDifference = $left->_mean - $right->_mean;
$logSqrt2Pi = log(sqrt(2*M_PI));
return -$logSqrt2Pi - (log($varianceSum)/2.0) - (square($meanDifference)/(2.0*$varianceSum));
$logSqrt2Pi = log(sqrt(2 * M_PI));
return -$logSqrt2Pi - (log($varianceSum) / 2.0) - (BasicMatch::square($meanDifference) / (2.0 * $varianceSum));
}
public static function divide(GaussianDistribution $numerator, GaussianDistribution $denominator)
{
return GaussianDistribution::fromPrecisionMean($numerator->_precisionMean - $denominator->_precisionMean,
$numerator->_precision - $denominator->_precision);
$numerator->_precision - $denominator->_precision);
}
public static function logRatioNormalization(GaussianDistribution $numerator, GaussianDistribution $denominator)
{
if (($numerator->_precision == 0) || ($denominator->_precision == 0))
{
if (($numerator->_precision == 0) || ($denominator->_precision == 0)) {
return 0;
}
$varianceDifference = $denominator->_variance - $numerator->_variance;
$meanDifference = $numerator->_mean - $denominator->_mean;
$logSqrt2Pi = log(sqrt(2*M_PI));
$logSqrt2Pi = log(sqrt(2 * M_PI));
return log($denominator->_variance) + $logSqrt2Pi - log($varianceDifference)/2.0 +
square($meanDifference)/(2*$varianceDifference);
return log($denominator->_variance) + $logSqrt2Pi - log($varianceDifference) / 2.0 +
BasicMatch::square($meanDifference) / (2 * $varianceDifference);
}
public static function at($x, $mean = 0.0, $standardDeviation = 1.0)
{
// See http://mathworld.wolfram.com/NormalDistribution.html
@ -174,93 +159,89 @@ class GaussianDistribution
// P(x) = ------------------- * e
// stdDev * sqrt(2*pi)
$multiplier = 1.0/($standardDeviation*sqrt(2*M_PI));
$expPart = exp((-1.0*square($x - $mean))/(2*square($standardDeviation)));
$result = $multiplier*$expPart;
$multiplier = 1.0 / ($standardDeviation * sqrt(2 * M_PI));
$expPart = exp((-1.0 * BasicMatch::square($x - $mean)) / (2 * BasicMatch::square($standardDeviation)));
$result = $multiplier * $expPart;
return $result;
}
public static function cumulativeTo($x, $mean = 0.0, $standardDeviation = 1.0)
{
$invsqrt2 = -0.707106781186547524400844362104;
$result = GaussianDistribution::errorFunctionCumulativeTo($invsqrt2*$x);
return 0.5*$result;
$result = GaussianDistribution::errorFunctionCumulativeTo($invsqrt2 * $x);
return 0.5 * $result;
}
private static function errorFunctionCumulativeTo($x)
{
// Derived from page 265 of Numerical Recipes 3rd Edition
$z = abs($x);
$t = 2.0/(2.0 + $z);
$ty = 4*$t - 2;
$t = 2.0 / (2.0 + $z);
$ty = 4 * $t - 2;
$coefficients = array(
-1.3026537197817094,
6.4196979235649026e-1,
1.9476473204185836e-2,
-9.561514786808631e-3,
-9.46595344482036e-4,
3.66839497852761e-4,
4.2523324806907e-5,
-2.0278578112534e-5,
-1.624290004647e-6,
1.303655835580e-6,
1.5626441722e-8,
-8.5238095915e-8,
6.529054439e-9,
5.059343495e-9,
-9.91364156e-10,
-2.27365122e-10,
9.6467911e-11,
2.394038e-12,
-6.886027e-12,
8.94487e-13,
3.13092e-13,
-1.12708e-13,
3.81e-16,
7.106e-15,
-1.523e-15,
-9.4e-17,
1.21e-16,
-2.8e-17 );
-1.3026537197817094,
6.4196979235649026e-1,
1.9476473204185836e-2,
-9.561514786808631e-3,
-9.46595344482036e-4,
3.66839497852761e-4,
4.2523324806907e-5,
-2.0278578112534e-5,
-1.624290004647e-6,
1.303655835580e-6,
1.5626441722e-8,
-8.5238095915e-8,
6.529054439e-9,
5.059343495e-9,
-9.91364156e-10,
-2.27365122e-10,
9.6467911e-11,
2.394038e-12,
-6.886027e-12,
8.94487e-13,
3.13092e-13,
-1.12708e-13,
3.81e-16,
7.106e-15,
-1.523e-15,
-9.4e-17,
1.21e-16,
-2.8e-17);
$ncof = count($coefficients);
$d = 0.0;
$dd = 0.0;
for ($j = $ncof - 1; $j > 0; $j--)
{
for ($j = $ncof - 1; $j > 0; $j--) {
$tmp = $d;
$d = $ty*$d - $dd + $coefficients[$j];
$d = $ty * $d - $dd + $coefficients[$j];
$dd = $tmp;
}
$ans = $t*exp(-$z*$z + 0.5*($coefficients[0] + $ty*$d) - $dd);
$ans = $t * exp(-$z * $z + 0.5 * ($coefficients[0] + $ty * $d) - $dd);
return ($x >= 0.0) ? $ans : (2.0 - $ans);
}
private static function inverseErrorFunctionCumulativeTo($p)
{
// From page 265 of numerical recipes
if ($p >= 2.0)
{
if ($p >= 2.0) {
return -100;
}
if ($p <= 0.0)
{
if ($p <= 0.0) {
return 100;
}
$pp = ($p < 1.0) ? $p : 2 - $p;
$t = sqrt(-2*log($pp/2.0)); // Initial guess
$x = -0.70711*((2.30753 + $t*0.27061)/(1.0 + $t*(0.99229 + $t*0.04481)) - $t);
$t = sqrt(-2 * log($pp / 2.0)); // Initial guess
$x = -0.70711 * ((2.30753 + $t * 0.27061) / (1.0 + $t * (0.99229 + $t * 0.04481)) - $t);
for ($j = 0; $j < 2; $j++)
{
for ($j = 0; $j < 2; $j++) {
$err = GaussianDistribution::errorFunctionCumulativeTo($x) - $pp;
$x += $err/(1.12837916709551257*exp(-square($x)) - $x*$err); // Halley
$x += $err / (1.12837916709551257 * exp(-BasicMatch::square($x)) - $x * $err); // Halley
}
return ($p < 1.0) ? $x : -$x;
@ -269,12 +250,11 @@ class GaussianDistribution
public static function inverseCumulativeTo($x, $mean = 0.0, $standardDeviation = 1.0)
{
// From numerical recipes, page 320
return $mean - sqrt(2)*$standardDeviation*GaussianDistribution::inverseErrorFunctionCumulativeTo(2*$x);
return $mean - sqrt(2) * $standardDeviation * GaussianDistribution::inverseErrorFunctionCumulativeTo(2 * $x);
}
public function __toString()
{
return sprintf("mean=%.4f standardDeviation=%.4f", $this->_mean, $this->_standardDeviation);
}
}
?>
}
}

@ -0,0 +1,9 @@
<?php namespace Moserware\Skills\Numerics;
class IdentityMatrix extends DiagonalMatrix
{
public function __construct($rows)
{
parent::__construct(array_fill(0, $rows, 1));
}
}

@ -1,5 +1,4 @@
<?php
namespace Moserware\Numerics;
<?php namespace Moserware\Skills\Numerics;
class Matrix
{
@ -369,76 +368,4 @@ class Matrix
return true;
}
}
class Vector extends Matrix
{
public function __construct(array $vectorValues)
{
$columnValues = array();
foreach($vectorValues as $currentVectorValue)
{
$columnValues[] = array($currentVectorValue);
}
parent::__construct(count($vectorValues), 1, $columnValues);
}
}
class SquareMatrix extends Matrix
{
public function __construct()
{
$allValues = \func_get_args();
$rows = (int) sqrt(count($allValues));
$cols = $rows;
$matrixData = array();
$allValuesIndex = 0;
for ($currentRow = 0; $currentRow < $rows; $currentRow++)
{
for ($currentColumn = 0; $currentColumn < $cols; $currentColumn++)
{
$matrixData[$currentRow][$currentColumn] = $allValues[$allValuesIndex++];
}
}
parent::__construct($rows, $cols, $matrixData);
}
}
class DiagonalMatrix extends Matrix
{
public function __construct(array $diagonalValues)
{
$diagonalCount = count($diagonalValues);
$rowCount = $diagonalCount;
$colCount = $rowCount;
parent::__construct($rowCount, $colCount);
for($currentRow = 0; $currentRow < $rowCount; $currentRow++)
{
for($currentCol = 0; $currentCol < $colCount; $currentCol++)
{
if($currentRow == $currentCol)
{
$this->setValue($currentRow, $currentCol, $diagonalValues[$currentRow]);
}
else
{
$this->setValue($currentRow, $currentCol, 0);
}
}
}
}
}
class IdentityMatrix extends DiagonalMatrix
{
public function __construct($rows)
{
parent::__construct(\array_fill(0, $rows, 1));
}
}
?>
}

@ -1,10 +1,10 @@
<?php
namespace Moserware\Numerics;
<?php namespace Moserware\Skills\Numerics;
// The whole purpose of this class is to make the code for the SkillCalculator(s)
// look a little cleaner
use Exception;
class Range
{
private $_min;
@ -57,6 +57,4 @@ class Range
{
return ($this->_min <= $value) && ($value <= $this->_max);
}
}
?>
}

@ -0,0 +1,22 @@
<?php namespace Moserware\Skills\Numerics;
class SquareMatrix extends Matrix
{
public function __construct()
{
$allValues = func_get_args();
$rows = (int)sqrt(count($allValues));
$cols = $rows;
$matrixData = array();
$allValuesIndex = 0;
for ($currentRow = 0; $currentRow < $rows; $currentRow++) {
for ($currentColumn = 0; $currentColumn < $cols; $currentColumn++) {
$matrixData[$currentRow][$currentColumn] = $allValues[$allValuesIndex++];
}
}
parent::__construct($rows, $cols, $matrixData);
}
}

14
src/Numerics/Vector.php Normal file

@ -0,0 +1,14 @@
<?php namespace Moserware\Skills\Numerics;
class Vector extends Matrix
{
public function __construct(array $vectorValues)
{
$columnValues = array();
foreach($vectorValues as $currentVectorValue)
{
$columnValues[] = array($currentVectorValue);
}
parent::__construct(count($vectorValues), 1, $columnValues);
}
}

@ -1,5 +1,4 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
/**
* Represents a comparison between two players.
@ -15,13 +14,11 @@ class PairwiseComparison
{
switch ($comparison) {
case PairwiseComparison::WIN:
return array(1,2);
return array(1, 2);
case PairwiseComparison::LOSE:
return array(2,1);
return array(2, 1);
default:
return array(1,1);
return array(1, 1);
}
}
}
?>
}

@ -1,7 +1,4 @@
<?php
namespace Moserware\Skills;
require_once(dirname(__FILE__) . "/ISupportPartialPlay.php");
<?php namespace Moserware\Skills;
class PartialPlay
{
@ -9,8 +6,7 @@ class PartialPlay
{
// If the player doesn't support the interface, assume 1.0 == 100%
$supportsPartialPlay = $player instanceof ISupportPartialPlay;
if (!$supportsPartialPlay)
{
if (!$supportsPartialPlay) {
return 1.0;
}
@ -18,13 +14,10 @@ class PartialPlay
// HACK to get around bug near 0
$smallestPercentage = 0.0001;
if ($partialPlayPercentage < $smallestPercentage)
{
if ($partialPlayPercentage < $smallestPercentage) {
$partialPlayPercentage = $smallestPercentage;
}
return $partialPlayPercentage;
}
}
?>
}

@ -1,9 +1,4 @@
<?php
namespace Moserware\Skills;
require_once(dirname(__FILE__) . "/Guard.php");
require_once(dirname(__FILE__) . "/ISupportPartialPlay.php");
require_once(dirname(__FILE__) . "/ISupportPartialUpdate.php");
<?php namespace Moserware\Skills;
/**
* Represents a player who has a Rating.
@ -19,7 +14,7 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
/**
* Constructs a player.
*
*
* @param mixed $id The identifier for the player, such as a name.
* @param number $partialPlayPercentage The weight percentage to give this player when calculating a new rank.
* @param number $partialUpdatePercentage Indicated how much of a skill update a player should receive where 0 represents no update and 1.0 represents 100% of the update.
@ -44,7 +39,7 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
$id = &$this->_Id;
return $this->_Id;
}
/**
* Indicates the percent of the time the player should be weighted where 0.0 indicates the player didn't play and 1.0 indicates the player played 100% of the time.
*/
@ -52,7 +47,7 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
{
return $this->_PartialPlayPercentage;
}
/**
* Indicated how much of a skill update a player should receive where 0.0 represents no update and 1.0 represents 100% of the update.
*/
@ -60,15 +55,13 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
{
return $this->_PartialUpdatePercentage;
}
public function __toString()
{
if ($this->_Id != null)
{
if ($this->_Id != null) {
return (string)$this->_Id;
}
return parent::__toString();
}
}
?>
}

@ -1,9 +1,6 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
require_once(dirname(__FILE__) . "/Numerics/Range.php");
use Moserware\Numerics\Range;
use Moserware\Skills\Numerics\Range;
class PlayersRange extends Range
{
@ -11,11 +8,9 @@ class PlayersRange extends Range
{
parent::__construct($min, $max);
}
protected static function create($min, $max)
{
return new PlayersRange($min, $max);
}
}
?>
}

@ -1,6 +1,4 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
/**
* Helper class to sort ranks in non-decreasing order.
@ -9,15 +7,14 @@ class RankSorter
{
/**
* Performs an in-place sort of the items in according to the ranks in non-decreasing order.
*
* @param $items The items to sort according to the order specified by ranks.
* @param $ranks The ranks for each item where 1 is first place.
*
* @param array $teams The items to sort according to the order specified by ranks.
* @param array $teamRanks The ranks for each item where 1 is first place.
* @return array
*/
public static function sort(array &$teams, array &$teamRanks)
{
array_multisort($teamRanks, $teams);
return $teams;
}
}
?>
}

@ -1,12 +1,12 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
// Container for a player's rating.
class Rating
use Moserware\Skills\Numerics\GaussianDistribution;
class Rating
{
const CONSERVATIVE_STANDARD_DEVIATION_MULTIPLIER = 3;
private $_conservativeStandardDeviationMultiplier;
private $_mean;
private $_standardDeviation;
@ -15,7 +15,7 @@ class Rating
* Constructs a rating.
* @param double $mean The statistical mean value of the rating (also known as mu).
* @param double $standardDeviation The standard deviation of the rating (also known as s).
* @param double $conservativeStandardDeviationMultiplier optional The number of standardDeviations to subtract from the mean to achieve a conservative rating.
* @param float|int $conservativeStandardDeviationMultiplier optional The number of standardDeviations to subtract from the mean to achieve a conservative rating.
*/
public function __construct($mean, $standardDeviation, $conservativeStandardDeviationMultiplier = self::CONSERVATIVE_STANDARD_DEVIATION_MULTIPLIER)
{
@ -29,7 +29,7 @@ class Rating
*/
public function getMean()
{
return $this->_mean;
return $this->_mean;
}
/**
@ -45,27 +45,28 @@ class Rating
*/
public function getConservativeRating()
{
return $this->_mean - $this->_conservativeStandardDeviationMultiplier*$this->_standardDeviation;
return $this->_mean - $this->_conservativeStandardDeviationMultiplier * $this->_standardDeviation;
}
public function getPartialUpdate(Rating $prior, Rating $fullPosterior, $updatePercentage)
{
$priorGaussian = new GaussianDistribution($prior->getMean(), $prior->getStandardDeviation());
$posteriorGaussian = new GaussianDistribution($fullPosterior->getMean(), $fullPosterior.getStandardDeviation());
$posteriorGaussian = new GaussianDistribution($fullPosterior->getMean(), $fullPosterior . getStandardDeviation());
// From a clarification email from Ralf Herbrich:
// "the idea is to compute a linear interpolation between the prior and posterior skills of each player
// ... in the canonical space of parameters"
$precisionDifference = $posteriorGaussian->getPrecision() - $priorGaussian->getPrecision();
$partialPrecisionDifference = $updatePercentage*$precisionDifference;
$partialPrecisionDifference = $updatePercentage * $precisionDifference;
$precisionMeanDifference = $posteriorGaussian->getPrecisionMean() - $priorGaussian.getPrecisionMean();
$partialPrecisionMeanDifference = $updatePercentage*$precisionMeanDifference;
$precisionMeanDifference = $posteriorGaussian->getPrecisionMean() - $priorGaussian . getPrecisionMean();
$partialPrecisionMeanDifference = $updatePercentage * $precisionMeanDifference;
$partialPosteriorGaussion = GaussianDistribution::fromPrecisionMean(
$priorGaussian->getPrecisionMean() + $partialPrecisionMeanDifference,
$priorGaussian->getPrecision() + $partialPrecisionDifference);
$priorGaussian->getPrecision() + $partialPrecisionDifference
);
return new Rating($partialPosteriorGaussion->getMean(), $partialPosteriorGaussion->getStandardDeviation(), $prior->_conservativeStandardDeviationMultiplier);
}
@ -73,7 +74,5 @@ class Rating
public function __toString()
{
return sprintf("mean=%.4f, standardDeviation=%.4f", $this->_mean, $this->_standardDeviation);
}
}
?>
}
}

@ -1,9 +1,4 @@
<?php
namespace Moserware\Skills;
require_once(dirname(__FILE__) . "/HashMap.php");
require_once(dirname(__FILE__) . "/Player.php");
require_once(dirname(__FILE__) . "/Rating.php");
<?php namespace Moserware\Skills;
class RatingContainer
{
@ -24,13 +19,13 @@ class RatingContainer
{
return $this->_playerToRating->setValue($player, $rating);
}
public function &getAllPlayers()
{
$allPlayers = &$this->_playerToRating->getAllKeys();
return $allPlayers;
}
public function &getAllRatings()
{
$allRatings = &$this->_playerToRating->getAllValues();
@ -40,6 +35,5 @@ class RatingContainer
public function count()
{
return $this->_playerToRating->count();
}
}
?>
}
}

@ -1,11 +1,8 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
require_once(dirname(__FILE__) . "/GameInfo.php");
require_once(dirname(__FILE__) . "/PlayersRange.php");
require_once(dirname(__FILE__) . "/TeamsRange.php");
use Exception;
/**
/**
* Base class for all skill calculator implementations.
*/
abstract class SkillCalculator
@ -13,7 +10,7 @@ abstract class SkillCalculator
private $_supportedOptions;
private $_playersPerTeamAllowed;
private $_totalTeamsAllowed;
protected function __construct($supportedOptions, TeamsRange $totalTeamsAllowed, PlayersRange $playerPerTeamAllowed)
{
$this->_supportedOptions = $supportedOptions;
@ -23,9 +20,10 @@ abstract class SkillCalculator
/**
* Calculates new ratings based on the prior ratings and team ranks.
* @param $gameInfo Parameters for the game.
* @param $teams A mapping of team players and their ratings.
* @param $teamRanks The ranks of the teams where 1 is first place. For a tie, repeat the number (e.g. 1, 2, 2).
* @param GameInfo $gameInfo Parameters for the game.
* @param array $teamsOfPlayerToRatings A mapping of team players and their ratings.
* @param array $teamRanks The ranks of the teams where 1 is first place. For a tie, repeat the number (e.g. 1, 2, 2).
*
* @return All the players and their new ratings.
*/
public abstract function calculateNewRatings(GameInfo &$gameInfo,
@ -34,18 +32,18 @@ abstract class SkillCalculator
/**
* Calculates the match quality as the likelihood of all teams drawing.
*
* @param $gameInfo Parameters for the game.
* @param $teams A mapping of team players and their ratings.
*
* @param GameInfo $gameInfo Parameters for the game.
* @param array $teamsOfPlayerToRatings A mapping of team players and their ratings.
* @return The quality of the match between the teams as a percentage (0% = bad, 100% = well matched).
*/
public abstract function calculateMatchQuality(GameInfo &$gameInfo,
array &$teamsOfPlayerToRatings);
public function isSupported($option)
{
return ($this->_supportedOptions & $option) == $option;
}
{
return ($this->_supportedOptions & $option) == $option;
}
protected function validateTeamCountAndPlayersCountPerTeam(array &$teamsOfPlayerToRatings)
{
@ -56,20 +54,17 @@ abstract class SkillCalculator
array &$teams,
TeamsRange &$totalTeams,
PlayersRange &$playersPerTeam)
{
{
$countOfTeams = 0;
foreach ($teams as $currentTeam)
{
if (!$playersPerTeam->isInRange($currentTeam->count()))
{
throw new \Exception("Player count is not in range");
foreach ($teams as $currentTeam) {
if (!$playersPerTeam->isInRange($currentTeam->count())) {
throw new Exception("Player count is not in range");
}
$countOfTeams++;
}
if (!$totalTeams->isInRange($countOfTeams))
{
if (!$totalTeams->isInRange($countOfTeams)) {
throw new Exception("Team range is not in range");
}
}
@ -80,5 +75,4 @@ class SkillCalculatorSupportedOptions
const NONE = 0x00;
const PARTIAL_PLAY = 0x01;
const PARTIAL_UPDATE = 0x02;
}
?>
}

@ -1,9 +1,4 @@
<?php
namespace Moserware\Skills;
require_once(dirname(__FILE__) . '/Player.php');
require_once(dirname(__FILE__) . '/Rating.php');
require_once(dirname(__FILE__) . '/RatingContainer.php');
<?php namespace Moserware\Skills;
class Team extends RatingContainer
{
@ -11,7 +6,7 @@ class Team extends RatingContainer
{
parent::__construct();
if(!\is_null($player))
if(!is_null($player))
{
$this->addPlayer($player, $rating);
}
@ -22,6 +17,4 @@ class Team extends RatingContainer
$this->setRating($player, $rating);
return $this;
}
}
?>
}

@ -1,11 +1,10 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
class Teams
{
public static function concat(/*variable arguments*/)
{
$args = \func_get_args();
$args = func_get_args();
$result = array();
foreach ($args as &$currentTeam) {
@ -15,5 +14,4 @@ class Teams
return $result;
}
}
?>
}

@ -1,9 +1,6 @@
<?php
namespace Moserware\Skills;
<?php namespace Moserware\Skills;
require_once(dirname(__FILE__) . "/Numerics/Range.php");
use Moserware\Numerics\Range;
use Moserware\Skills\Numerics\Range;
class TeamsRange extends Range
{
@ -16,6 +13,4 @@ class TeamsRange extends Range
{
return new TeamsRange($min, $max);
}
}
?>
}

@ -1,9 +1,6 @@
<?php
namespace Moserware\Skills\TrueSkill;
<?php namespace Moserware\Skills\TrueSkill;
require_once(dirname(__FILE__) . "/../Numerics/GaussianDistribution.php");
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\Numerics\GaussianDistribution;
final class DrawMargin
{
@ -17,10 +14,6 @@ final class DrawMargin
//
// margin = inversecdf((draw probability + 1)/2) * sqrt(n1+n2) * beta
// n1 and n2 are the number of players on each team
$margin = GaussianDistribution::inverseCumulativeTo(.5*($drawProbability + 1), 0, 1)*sqrt(1 + 1)*
$beta;
return $margin;
return GaussianDistribution::inverseCumulativeTo(.5 * ($drawProbability + 1), 0, 1) * sqrt(1 + 1) * $beta;
}
}
?>
}

@ -1,28 +1,13 @@
<?php
namespace Moserware\Skills\TrueSkill;
require_once(dirname(__FILE__) . "/../GameInfo.php");
require_once(dirname(__FILE__) . "/../Guard.php");
require_once(dirname(__FILE__) . "/../ISupportPartialPlay.php");
require_once(dirname(__FILE__) . "/../ISupportPartialUpdate.php");
require_once(dirname(__FILE__) . "/../PartialPlay.php");
require_once(dirname(__FILE__) . "/../PlayersRange.php");
require_once(dirname(__FILE__) . "/../RankSorter.php");
require_once(dirname(__FILE__) . "/../SkillCalculator.php");
require_once(dirname(__FILE__) . "/../TeamsRange.php");
require_once(dirname(__FILE__) . "/../Numerics/BasicMath.php");
require_once(dirname(__FILE__) . "/../Numerics/Matrix.php");
require_once(dirname(__FILE__) . "/TrueSkillFactorGraph.php");
use Moserware\Numerics\DiagonalMatrix;
use Moserware\Numerics\Matrix;
use Moserware\Numerics\Vector;
<?php namespace Moserware\Skills\TrueSkill;
use Moserware\Skills\GameInfo;
use Moserware\Skills\Guard;
use Moserware\Skills\ISupportPartialPlay;
use Moserware\Skills\ISupportPartialUpdate;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Numerics\DiagonalMatrix;
use Moserware\Skills\Numerics\Matrix;
use Moserware\Skills\Numerics\Vector;
use Moserware\Skills\PartialPlay;
use Moserware\Skills\PlayersRange;
use Moserware\Skills\RankSorter;
@ -52,7 +37,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
$factorGraph = new TrueSkillFactorGraph($gameInfo, $teams, $teamRanks);
$factorGraph->buildGraph();
$factorGraph->runSchedule();
$probabilityOfOutcome = $factorGraph->getProbabilityOfRanking();
return $factorGraph->getUpdatedRatings();
@ -70,17 +55,19 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
$playerTeamAssignmentsMatrix = $this->createPlayerTeamAssignmentMatrix($teamAssignmentsList, $meanVector->getRowCount());
$playerTeamAssignmentsMatrixTranspose = $playerTeamAssignmentsMatrix->getTranspose();
$betaSquared = square($gameInfo->getBeta());
$betaSquared = BasicMatch::square($gameInfo->getBeta());
$start = Matrix::multiply($meanVectorTranspose, $playerTeamAssignmentsMatrix);
$aTa = Matrix::multiply(
Matrix::scalarMultiply($betaSquared,
$playerTeamAssignmentsMatrixTranspose),
$playerTeamAssignmentsMatrix);
Matrix::scalarMultiply($betaSquared, $playerTeamAssignmentsMatrixTranspose),
$playerTeamAssignmentsMatrix
);
$aTSA = Matrix::multiply(
Matrix::multiply($playerTeamAssignmentsMatrixTranspose, $skillsMatrix),
$playerTeamAssignmentsMatrix);
Matrix::multiply($playerTeamAssignmentsMatrixTranspose, $skillsMatrix),
$playerTeamAssignmentsMatrix
);
$middle = Matrix::add($aTa, $aTSA);
@ -104,10 +91,9 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
{
// A simple vector of all the player means.
return new Vector(self::getPlayerRatingValues($teamAssignmentsList,
function($rating)
{
return $rating->getMean();
}));
function ($rating) {
return $rating->getMean();
}));
}
private static function getPlayerCovarianceMatrix(array &$teamAssignmentsList)
@ -115,11 +101,10 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
// This is a square matrix whose diagonal values represent the variance (square of standard deviation) of all
// players.
return new DiagonalMatrix(
self::getPlayerRatingValues($teamAssignmentsList,
function($rating)
{
return square($rating->getStandardDeviation());
}));
self::getPlayerRatingValues($teamAssignmentsList,
function ($rating) {
return BasicMatch::square($rating->getStandardDeviation());
}));
}
// Helper function that gets a list of values for all player ratings
@ -128,10 +113,8 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
{
$playerRatingValues = array();
foreach ($teamAssignmentsList as $currentTeam)
{
foreach ($currentTeam->getAllRatings() as $currentRating)
{
foreach ($teamAssignmentsList as $currentTeam) {
foreach ($currentTeam->getAllRatings() as $currentRating) {
$playerRatingValues[] = $playerRatingFunction($currentRating);
}
}
@ -164,16 +147,14 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
$currentColumn = 0;
for ($i = 0; $i < $teamAssignmentsListCount - 1; $i++)
{
for ($i = 0; $i < $teamAssignmentsListCount - 1; $i++) {
$currentTeam = $teamAssignmentsList[$i];
// Need to add in 0's for all the previous players, since they're not
// on this team
$playerAssignments[$currentColumn] = ($totalPreviousPlayers > 0) ? \array_fill(0, $totalPreviousPlayers, 0) : array();
foreach ($currentTeam->getAllPlayers() as $currentPlayer)
{
foreach ($currentTeam->getAllPlayers() as $currentPlayer) {
$playerAssignments[$currentColumn][] = PartialPlay::getPartialPlayPercentage($currentPlayer);
// indicates the player is on the team
$totalPreviousPlayers++;
@ -182,15 +163,13 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
$rowsRemaining = $totalPlayers - $totalPreviousPlayers;
$nextTeam = $teamAssignmentsList[$i + 1];
foreach ($nextTeam->getAllPlayers() as $nextTeamPlayer)
{
foreach ($nextTeam->getAllPlayers() as $nextTeamPlayer) {
// Add a -1 * playing time to represent the difference
$playerAssignments[$currentColumn][] = -1 * PartialPlay::getPartialPlayPercentage($nextTeamPlayer);
$rowsRemaining--;
}
for ($ixAdditionalRow = 0; $ixAdditionalRow < $rowsRemaining; $ixAdditionalRow++)
{
for ($ixAdditionalRow = 0; $ixAdditionalRow < $rowsRemaining; $ixAdditionalRow++) {
// Pad with zeros
$playerAssignments[$currentColumn][] = 0;
}
@ -202,6 +181,4 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
return $playerTeamAssignmentsMatrix;
}
}
?>
}

@ -1,16 +1,9 @@
<?php
<?php namespace Moserware\Skills\TrueSkill\Factors;
namespace Moserware\Skills\TrueSkill\Factors;
require_once(dirname(__FILE__) . "/../../FactorGraphs/Factor.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\Factor;
use Moserware\Skills\FactorGraphs\Message;
use Moserware\Skills\FactorGraphs\Variable;
use Moserware\Skills\Numerics\GaussianDistribution;
abstract class GaussianFactor extends Factor
{
@ -21,6 +14,9 @@ abstract class GaussianFactor extends Factor
/**
* Sends the factor-graph message with and returns the log-normalization constant.
* @param Message $message
* @param Variable $variable
* @return float|int
*/
protected function sendMessageVariable(Message &$message, Variable &$variable)
{
@ -35,11 +31,9 @@ abstract class GaussianFactor extends Factor
{
$newDistribution = GaussianDistribution::fromPrecisionMean(0, 0);
$binding = &parent::createVariableToMessageBindingWithMessage($variable,
new Message(
$newDistribution,
sprintf("message from %s to %s", $this, $variable)));
new Message(
$newDistribution,
sprintf("message from %s to %s", $this, $variable)));
return $binding;
}
}
?>
}

@ -1,13 +1,6 @@
<?php
namespace Moserware\Skills\TrueSkill\Factors;
<?php namespace Moserware\Skills\TrueSkill\Factors;
require_once(dirname(__FILE__) . "/../../FactorGraphs/Message.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../../Numerics/GaussianDistribution.php");
require_once(dirname(__FILE__) . "/../TruncatedGaussianCorrectionFunctions.php");
require_once(dirname(__FILE__) . "/GaussianFactor.php");
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\Numerics\GaussianDistribution;
use Moserware\Skills\TrueSkill\TruncatedGaussianCorrectionFunctions;
use Moserware\Skills\FactorGraphs\Message;
use Moserware\Skills\FactorGraphs\Variable;
@ -36,10 +29,10 @@ class GaussianGreaterThanFactor extends GaussianFactor
$message = &$messages[0]->getValue();
$messageFromVariable = GaussianDistribution::divide($marginal, $message);
return -GaussianDistribution::logProductNormalization($messageFromVariable, $message)
+
log(
GaussianDistribution::cumulativeTo(($messageFromVariable->getMean() - $this->_epsilon)/
$messageFromVariable->getStandardDeviation()));
+
log(
GaussianDistribution::cumulativeTo(($messageFromVariable->getMean() - $this->_epsilon) /
$messageFromVariable->getStandardDeviation()));
}
@ -54,24 +47,24 @@ class GaussianGreaterThanFactor extends GaussianFactor
$sqrtC = sqrt($c);
$dOnSqrtC = $d/$sqrtC;
$dOnSqrtC = $d / $sqrtC;
$epsilsonTimesSqrtC = $this->_epsilon*$sqrtC;
$epsilsonTimesSqrtC = $this->_epsilon * $sqrtC;
$d = $messageFromVar->getPrecisionMean();
$denom = 1.0 - TruncatedGaussianCorrectionFunctions::wExceedsMargin($dOnSqrtC, $epsilsonTimesSqrtC);
$newPrecision = $c/$denom;
$newPrecision = $c / $denom;
$newPrecisionMean = ($d +
$sqrtC*
TruncatedGaussianCorrectionFunctions::vExceedsMargin($dOnSqrtC, $epsilsonTimesSqrtC))/
$denom;
$sqrtC *
TruncatedGaussianCorrectionFunctions::vExceedsMargin($dOnSqrtC, $epsilsonTimesSqrtC)) /
$denom;
$newMarginal = GaussianDistribution::fromPrecisionMean($newPrecisionMean, $newPrecision);
$newMessage = GaussianDistribution::divide(
GaussianDistribution::multiply($oldMessage, $newMarginal),
$oldMarginal);
GaussianDistribution::multiply($oldMessage, $newMarginal),
$oldMarginal);
// Update the message and marginal
$message->setValue($newMessage);
@ -81,5 +74,4 @@ class GaussianGreaterThanFactor extends GaussianFactor
// Return the difference in the new marginal
return GaussianDistribution::subtract($newMarginal, $oldMarginal);
}
}
?>
}

@ -1,18 +1,13 @@
<?php
namespace Moserware\Skills\TrueSkill\Factors;
<?php namespace Moserware\Skills\TrueSkill\Factors;
require_once(dirname(__FILE__) . "/../../FactorGraphs/Message.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../../Numerics/GaussianDistribution.php");
require_once(dirname(__FILE__) . "/GaussianFactor.php");
use Moserware\Numerics\GaussianDistribution;
use Exception;
use Moserware\Skills\FactorGraphs\Message;
use Moserware\Skills\FactorGraphs\Variable;
use Moserware\Skills\Numerics\GaussianDistribution;
/**
* Connects two variables and adds uncertainty.
*
*
* See the accompanying math paper for more details.
*/
class GaussianLikelihoodFactor extends GaussianFactor
@ -22,7 +17,7 @@ class GaussianLikelihoodFactor extends GaussianFactor
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->_precision = 1.0 / $betaSquared;
$this->createVariableToMessageBinding($variable1);
$this->createVariableToMessageBinding($variable2);
}
@ -33,24 +28,24 @@ class GaussianLikelihoodFactor extends GaussianFactor
$messages = &$this->getMessages();
return GaussianDistribution::logRatioNormalization(
$vars[0]->getValue(),
$messages[0]->getValue());
$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();
$message2Value = clone $message2->getValue();
$marginal1 = clone $variable1->getValue();
$marginal2 = clone $variable2->getValue();
$a = $this->_precision/($this->_precision + $marginal2->getPrecision() - $message2Value->getPrecision());
$a = $this->_precision / ($this->_precision + $marginal2->getPrecision() - $message2Value->getPrecision());
$newMessage = GaussianDistribution::fromPrecisionMean(
$a*($marginal2->getPrecisionMean() - $message2Value->getPrecisionMean()),
$a*($marginal2->getPrecision() - $message2Value->getPrecision()));
$a * ($marginal2->getPrecisionMean() - $message2Value->getPrecisionMean()),
$a * ($marginal2->getPrecision() - $message2Value->getPrecision()));
$oldMarginalWithoutMessage = GaussianDistribution::divide($marginal1, $message1Value);
@ -68,20 +63,17 @@ class GaussianLikelihoodFactor extends GaussianFactor
public function updateMessageIndex($messageIndex)
{
$messages = &$this->getMessages();
$vars = &$this->getVariables();
$vars = &$this->getVariables();
switch ($messageIndex)
{
switch ($messageIndex) {
case 0:
return $this->updateHelper($messages[0], $messages[1],
$vars[0], $vars[1]);
$vars[0], $vars[1]);
case 1:
return $this->updateHelper($messages[1], $messages[0],
$vars[1], $vars[0]);
$vars[1], $vars[0]);
default:
throw new Exception();
}
}
}
?>
}

@ -1,14 +1,8 @@
<?php
namespace Moserware\Skills\TrueSkill\Factors;
<?php namespace Moserware\Skills\TrueSkill\Factors;
require_once(dirname(__FILE__) . "/../../FactorGraphs/Message.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../../Numerics/GaussianDistribution.php");
require_once(dirname(__FILE__) . "/GaussianFactor.php");
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\FactorGraphs\Message;
use Moserware\Skills\FactorGraphs\Variable;
use Moserware\Skills\Numerics\GaussianDistribution;
/**
* Supplies the factor graph with prior information.
@ -24,7 +18,7 @@ class GaussianPriorFactor extends GaussianFactor
parent::__construct(sprintf("Prior value going to %s", $variable));
$this->_newMessage = new GaussianDistribution($mean, sqrt($variance));
$newMessage = new Message(GaussianDistribution::fromPrecisionMean(0, 0),
sprintf("message from %s to %s", $this, $variable));
sprintf("message from %s to %s", $this, $variable));
$this->createVariableToMessageBindingWithMessage($variable, $newMessage);
}
@ -43,6 +37,4 @@ class GaussianPriorFactor extends GaussianFactor
$message->setValue($newMessage);
return GaussianDistribution::subtract($oldMarginal, $newMarginal);
}
}
?>
}

@ -1,21 +1,14 @@
<?php
namespace Moserware\Skills\TrueSkill\Factors;
<?php namespace Moserware\Skills\TrueSkill\Factors;
require_once(dirname(__FILE__) . "/../../Guard.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Message.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../../Numerics/GaussianDistribution.php");
require_once(dirname(__FILE__) . "/../../Numerics/BasicMath.php");
require_once(dirname(__FILE__) . "/GaussianFactor.php");
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\Guard;
use Moserware\Skills\FactorGraphs\Message;
use Moserware\Skills\FactorGraphs\Variable;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Numerics\GaussianDistribution;
/**
* Factor that sums together multiple Gaussians.
*
*
* See the accompanying math paper for more details.s
*/
class GaussianWeightedSumFactor extends GaussianFactor
@ -37,20 +30,18 @@ class GaussianWeightedSumFactor extends GaussianFactor
// v_0 = a_1*v_1 + a_2*v_2 + ... + a_n * v_n
$variableWeightsLength = count($variableWeights);
$this->_weights[0] = \array_fill(0, count($variableWeights), 0);
for($i = 0; $i < $variableWeightsLength; $i++)
{
for ($i = 0; $i < $variableWeightsLength; $i++) {
$weight = &$variableWeights[$i];
$this->_weights[0][$i] = $weight;
$this->_weightsSquared[0][$i] = square($weight);
$this->_weightsSquared[0][$i] = BasicMatch::square($weight);
}
$variablesToSumLength = count($variablesToSum);
// 0..n-1
$this->_variableIndexOrdersForWeights[0] = array();
for($i = 0; $i < ($variablesToSumLength + 1); $i++)
{
for ($i = 0; $i < ($variablesToSumLength + 1); $i++) {
$this->_variableIndexOrdersForWeights[0][] = $i;
}
@ -62,10 +53,9 @@ class GaussianWeightedSumFactor extends GaussianFactor
// By convention, we'll put the v_0 term at the end
$weightsLength = $variableWeightsLength + 1;
for ($weightsIndex = 1; $weightsIndex < $weightsLength; $weightsIndex++)
{
for ($weightsIndex = 1; $weightsIndex < $weightsLength; $weightsIndex++) {
$currentWeights = \array_fill(0, $variableWeightsLength, 0);
$variableIndices = \array_fill(0, $variableWeightsLength + 1, 0);
$variableIndices[0] = $weightsIndex;
@ -73,42 +63,38 @@ class GaussianWeightedSumFactor extends GaussianFactor
// keep a single variable to keep track of where we are in the array.
// This is helpful since we skip over one of the spots
$currentDestinationWeightIndex = 0;
$currentDestinationWeightIndex = 0;
for ($currentWeightSourceIndex = 0;
$currentWeightSourceIndex < $variableWeightsLength;
$currentWeightSourceIndex++)
{
if ($currentWeightSourceIndex == ($weightsIndex - 1))
{
$currentWeightSourceIndex++) {
if ($currentWeightSourceIndex == ($weightsIndex - 1)) {
continue;
}
$currentWeight = (-$variableWeights[$currentWeightSourceIndex]/$variableWeights[$weightsIndex - 1]);
$currentWeight = (-$variableWeights[$currentWeightSourceIndex] / $variableWeights[$weightsIndex - 1]);
if ($variableWeights[$weightsIndex - 1] == 0)
{
if ($variableWeights[$weightsIndex - 1] == 0) {
// HACK: Getting around division by zero
$currentWeight = 0;
}
$currentWeights[$currentDestinationWeightIndex] = $currentWeight;
$currentWeightsSquared[$currentDestinationWeightIndex] = $currentWeight*$currentWeight;
$currentWeightsSquared[$currentDestinationWeightIndex] = $currentWeight * $currentWeight;
$variableIndices[$currentDestinationWeightIndex + 1] = $currentWeightSourceIndex + 1;
$currentDestinationWeightIndex++;
}
// And the final one
$finalWeight = 1.0/$variableWeights[$weightsIndex - 1];
$finalWeight = 1.0 / $variableWeights[$weightsIndex - 1];
if ($variableWeights[$weightsIndex - 1] == 0)
{
if ($variableWeights[$weightsIndex - 1] == 0) {
// HACK: Getting around division by zero
$finalWeight = 0;
}
$currentWeights[$currentDestinationWeightIndex] = $finalWeight;
$currentWeightsSquared[$currentDestinationWeightIndex] = square($finalWeight);
$currentWeightsSquared[$currentDestinationWeightIndex] = BasicMatch::square($finalWeight);
$variableIndices[count($variableWeights)] = 0;
$this->_variableIndexOrdersForWeights[] = $variableIndices;
@ -118,11 +104,10 @@ class GaussianWeightedSumFactor extends GaussianFactor
$this->createVariableToMessageBinding($sumVariable);
foreach ($variablesToSum as &$currentVariable)
{
foreach ($variablesToSum as &$currentVariable) {
$localCurrentVariable = &$currentVariable;
$this->createVariableToMessageBinding($localCurrentVariable);
}
}
}
public function getLogNormalization()
@ -134,8 +119,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
// We start at 1 since offset 0 has the sum
$varCount = count($vars);
for ($i = 1; $i < $varCount; $i++)
{
for ($i = 1; $i < $varCount; $i++) {
$result += GaussianDistribution::logRatioNormalization($vars[$i]->getValue(), $messages[$i]->getValue());
}
@ -160,30 +144,29 @@ class GaussianWeightedSumFactor extends GaussianFactor
$weightsSquaredLength = count($weightsSquared);
for ($i = 0; $i < $weightsSquaredLength; $i++)
{
for ($i = 0; $i < $weightsSquaredLength; $i++) {
// These flow directly from the paper
$inverseOfNewPrecisionSum += $weightsSquared[$i]/
($variables[$i + 1]->getValue()->getPrecision() - $messages[$i + 1]->getValue()->getPrecision());
$inverseOfNewPrecisionSum += $weightsSquared[$i] /
($variables[$i + 1]->getValue()->getPrecision() - $messages[$i + 1]->getValue()->getPrecision());
$diff = GaussianDistribution::divide($variables[$i + 1]->getValue(), $messages[$i + 1]->getValue());
$anotherInverseOfNewPrecisionSum += $weightsSquared[$i]/$diff->getPrecision();
$anotherInverseOfNewPrecisionSum += $weightsSquared[$i] / $diff->getPrecision();
$weightedMeanSum += $weights[$i]
*
($variables[$i + 1]->getValue()->getPrecisionMean() - $messages[$i + 1]->getValue()->getPrecisionMean())
/
($variables[$i + 1]->getValue()->getPrecision() - $messages[$i + 1]->getValue()->getPrecision());
*
($variables[$i + 1]->getValue()->getPrecisionMean() - $messages[$i + 1]->getValue()->getPrecisionMean())
/
($variables[$i + 1]->getValue()->getPrecision() - $messages[$i + 1]->getValue()->getPrecision());
$anotherWeightedMeanSum += $weights[$i]*$diff->getPrecisionMean()/$diff->getPrecision();
$anotherWeightedMeanSum += $weights[$i] * $diff->getPrecisionMean() / $diff->getPrecision();
}
$newPrecision = 1.0/$inverseOfNewPrecisionSum;
$anotherNewPrecision = 1.0/$anotherInverseOfNewPrecisionSum;
$newPrecision = 1.0 / $inverseOfNewPrecisionSum;
$anotherNewPrecision = 1.0 / $anotherInverseOfNewPrecisionSum;
$newPrecisionMean = $newPrecision*$weightedMeanSum;
$anotherNewPrecisionMean = $anotherNewPrecision*$anotherWeightedMeanSum;
$newPrecisionMean = $newPrecision * $weightedMeanSum;
$anotherNewPrecisionMean = $anotherNewPrecision * $anotherWeightedMeanSum;
$newMessage = GaussianDistribution::fromPrecisionMean($newPrecisionMean, $newPrecision);
$oldMarginalWithoutMessage = GaussianDistribution::divide($marginal0, $message0);
@ -201,7 +184,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
}
public function updateMessageIndex($messageIndex)
{
{
$allMessages = &$this->getMessages();
$allVariables = &$this->getVariables();
@ -216,16 +199,15 @@ class GaussianWeightedSumFactor extends GaussianFactor
// order as the weights. Thankfully, the weights and messages share the same index numbers,
// so we just need to make sure they're consistent
$allMessagesCount = count($allMessages);
for ($i = 0; $i < $allMessagesCount; $i++)
{
for ($i = 0; $i < $allMessagesCount; $i++) {
$updatedMessages[] = &$allMessages[$indicesToUse[$i]];
$updatedVariables[] = &$allVariables[$indicesToUse[$i]];
}
return $this->updateHelper($this->_weights[$messageIndex],
$this->_weightsSquared[$messageIndex],
$updatedMessages,
$updatedVariables);
$this->_weightsSquared[$messageIndex],
$updatedMessages,
$updatedVariables);
}
private static function createName($sumVariable, $variablesToSum, $weights)
@ -233,14 +215,12 @@ class GaussianWeightedSumFactor extends GaussianFactor
// TODO: Perf? Use PHP equivalent of StringBuilder? implode on arrays?
$result = (string)$sumVariable;
$result .= ' = ';
$totalVars = count($variablesToSum);
for($i = 0; $i < $totalVars; $i++)
{
for ($i = 0; $i < $totalVars; $i++) {
$isFirst = ($i == 0);
if($isFirst && ($weights[$i] < 0))
{
if ($isFirst && ($weights[$i] < 0)) {
$result .= '-';
}
@ -249,24 +229,18 @@ class GaussianWeightedSumFactor extends GaussianFactor
$result .= "*[";
$result .= (string)$variablesToSum[$i];
$result .= ']';
$isLast = ($i == ($totalVars - 1));
if(!$isLast)
{
if($weights[$i + 1] >= 0)
{
if (!$isLast) {
if ($weights[$i + 1] >= 0) {
$result .= ' + ';
}
else
{
} else {
$result .= ' - ';
}
}
}
}
return $result;
}
}
?>
}

@ -1,13 +1,6 @@
<?php
namespace Moserware\Skills\TrueSkill\Factors;
<?php namespace Moserware\Skills\TrueSkill\Factors;
require_once(dirname(__FILE__) . "/../TruncatedGaussianCorrectionFunctions.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Message.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../../Numerics/GaussianDistribution.php");
require_once(dirname(__FILE__) . "/GaussianFactor.php");
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\Numerics\GaussianDistribution;
use Moserware\Skills\TrueSkill\TruncatedGaussianCorrectionFunctions;
use Moserware\Skills\FactorGraphs\Message;
use Moserware\Skills\FactorGraphs\Variable;
@ -38,9 +31,9 @@ class GaussianWithinFactor extends GaussianFactor
$messageFromVariable = GaussianDistribution::divide($marginal, $message);
$mean = $messageFromVariable->getMean();
$std = $messageFromVariable->getStandardDeviation();
$z = GaussianDistribution::cumulativeTo(($this->_epsilon - $mean)/$std)
-
GaussianDistribution::cumulativeTo((-$this->_epsilon - $mean)/$std);
$z = GaussianDistribution::cumulativeTo(($this->_epsilon - $mean) / $std)
-
GaussianDistribution::cumulativeTo((-$this->_epsilon - $mean) / $std);
return -GaussianDistribution::logProductNormalization($messageFromVariable, $message) + log($z);
}
@ -55,22 +48,22 @@ class GaussianWithinFactor extends GaussianFactor
$d = $messageFromVariable->getPrecisionMean();
$sqrtC = sqrt($c);
$dOnSqrtC = $d/$sqrtC;
$dOnSqrtC = $d / $sqrtC;
$epsilonTimesSqrtC = $this->_epsilon*$sqrtC;
$epsilonTimesSqrtC = $this->_epsilon * $sqrtC;
$d = $messageFromVariable->getPrecisionMean();
$denominator = 1.0 - TruncatedGaussianCorrectionFunctions::wWithinMargin($dOnSqrtC, $epsilonTimesSqrtC);
$newPrecision = $c/$denominator;
$newPrecision = $c / $denominator;
$newPrecisionMean = ($d +
$sqrtC*
TruncatedGaussianCorrectionFunctions::vWithinMargin($dOnSqrtC, $epsilonTimesSqrtC))/
$denominator;
$sqrtC *
TruncatedGaussianCorrectionFunctions::vWithinMargin($dOnSqrtC, $epsilonTimesSqrtC)) /
$denominator;
$newMarginal = GaussianDistribution::fromPrecisionMean($newPrecisionMean, $newPrecision);
$newMessage = GaussianDistribution::divide(
GaussianDistribution::multiply($oldMessage, $newMarginal),
$oldMarginal);
GaussianDistribution::multiply($oldMessage, $newMarginal),
$oldMarginal);
// Update the message and marginal
$message->setValue($newMessage);
@ -79,6 +72,4 @@ class GaussianWithinFactor extends GaussianFactor
// Return the difference in the new marginal
return GaussianDistribution::subtract($newMarginal, $oldMarginal);
}
}
?>
}

@ -1,11 +1,4 @@
<?php
namespace Moserware\Skills\TrueSkill\Layers;
require_once(dirname(__FILE__) . "/../../FactorGraphs/Schedule.php");
require_once(dirname(__FILE__) . "/../TrueSkillFactorGraph.php");
require_once(dirname(__FILE__) . "/TrueSkillFactorGraphLayer.php");
require_once(dirname(__FILE__) . "/TeamPerformancesToTeamPerformanceDifferencesLayer.php");
require_once(dirname(__FILE__) . "/TeamDifferencesComparisonLayer.php");
<?php namespace Moserware\Skills\TrueSkill\Layers;
use Moserware\Skills\FactorGraphs\ScheduleLoop;
use Moserware\Skills\FactorGraphs\ScheduleSequence;
@ -30,8 +23,8 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
public function &getLocalFactors()
{
$localFactors =
\array_merge($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors(),
$this->_TeamDifferencesComparisonLayer->getLocalFactors());
array_merge($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors(),
$this->_TeamDifferencesComparisonLayer->getLocalFactors());
return $localFactors;
}
@ -47,9 +40,8 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
}
public function createPriorSchedule()
{
switch (count($this->getInputVariablesGroups()))
{
{
switch (count($this->getInputVariablesGroups())) {
case 0:
case 1:
throw new InvalidOperationException();
@ -72,15 +64,15 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
$innerSchedule = new ScheduleSequence(
"inner schedule",
array(
$loop,
new ScheduleStep(
"teamPerformanceToPerformanceDifferenceFactors[0] @ 1",
$firstDifferencesFactor, 1),
new ScheduleStep(
sprintf("teamPerformanceToPerformanceDifferenceFactors[teamTeamDifferences = %d - 1] @ 2", $totalTeamDifferences),
$lastDifferencesFactor, 2)
)
);
$loop,
new ScheduleStep(
"teamPerformanceToPerformanceDifferenceFactors[0] @ 1",
$firstDifferencesFactor, 1),
new ScheduleStep(
sprintf("teamPerformanceToPerformanceDifferenceFactors[teamTeamDifferences = %d - 1] @ 2", $totalTeamDifferences),
$lastDifferencesFactor, 2)
)
);
return $innerSchedule;
}
@ -93,15 +85,15 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
$firstPerfToTeamDiff = &$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors[0];
$firstTeamDiffComparison = &$teamDifferencesComparisonLayerLocalFactors[0];
$itemsToSequence = array(
new ScheduleStep(
"send team perf to perf differences",
$firstPerfToTeamDiff,
0),
new ScheduleStep(
"send to greater than or within factor",
$firstTeamDiffComparison,
0)
);
new ScheduleStep(
"send team perf to perf differences",
$firstPerfToTeamDiff,
0),
new ScheduleStep(
"send to greater than or within factor",
$firstTeamDiffComparison,
0)
);
return $this->scheduleSequence(
$itemsToSequence,
@ -114,8 +106,7 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
$forwardScheduleList = array();
for ($i = 0; $i < $totalTeamDifferences - 1; $i++)
{
for ($i = 0; $i < $totalTeamDifferences - 1; $i++) {
$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = &$this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
$teamDifferencesComparisonLayerLocalFactors = &$this->_TeamDifferencesComparisonLayer->getLocalFactors();
@ -125,16 +116,16 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
$currentForwardSchedulePiece =
$this->scheduleSequence(
array(
new ScheduleStep(
sprintf("team perf to perf diff %d", $i),
$currentTeamPerfToTeamPerfDiff, 0),
new ScheduleStep(
sprintf("greater than or within result factor %d", $i),
$currentTeamDiffComparison, 0),
new ScheduleStep(
sprintf("team perf to perf diff factors [%d], 2", $i),
$currentTeamPerfToTeamPerfDiff, 2)
), sprintf("current forward schedule piece %d", $i));
new ScheduleStep(
sprintf("team perf to perf diff %d", $i),
$currentTeamPerfToTeamPerfDiff, 0),
new ScheduleStep(
sprintf("greater than or within result factor %d", $i),
$currentTeamDiffComparison, 0),
new ScheduleStep(
sprintf("team perf to perf diff factors [%d], 2", $i),
$currentTeamPerfToTeamPerfDiff, 2)
), sprintf("current forward schedule piece %d", $i));
$forwardScheduleList[] = $currentForwardSchedulePiece;
}
@ -143,8 +134,7 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
$backwardScheduleList = array();
for ($i = 0; $i < $totalTeamDifferences - 1; $i++)
{
for ($i = 0; $i < $totalTeamDifferences - 1; $i++) {
$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = &$this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
$teamDifferencesComparisonLayerLocalFactors = &$this->_TeamDifferencesComparisonLayer->getLocalFactors();
@ -155,15 +145,15 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
$currentBackwardSchedulePiece = new ScheduleSequence(
"current backward schedule piece",
array(
new ScheduleStep(
sprintf("teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - %d] @ 0", $i),
$differencesFactor, 0),
new ScheduleStep(
sprintf("greaterThanOrWithinResultFactors[totalTeamDifferences - 1 - %d] @ 0", $i),
$comparisonFactor, 0),
new ScheduleStep(
sprintf("teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - %d] @ 1", $i),
$performancesToDifferencesFactor, 1)
new ScheduleStep(
sprintf("teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - %d] @ 0", $i),
$differencesFactor, 0),
new ScheduleStep(
sprintf("greaterThanOrWithinResultFactors[totalTeamDifferences - 1 - %d] @ 0", $i),
$comparisonFactor, 0),
new ScheduleStep(
sprintf("teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - %d] @ 1", $i),
$performancesToDifferencesFactor, 1)
));
$backwardScheduleList[] = $currentBackwardSchedulePiece;
}
@ -184,6 +174,4 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
return $loop;
}
}
?>
}

@ -1,13 +1,4 @@
<?php
namespace Moserware\Skills\TrueSkill\Layers;
require_once(dirname(__FILE__) . "/../../PartialPlay.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Schedule.php");
require_once(dirname(__FILE__) . "/../Factors/GaussianWeightedSumFactor.php");
require_once(dirname(__FILE__) . "/../TrueSkillFactorGraph.php");
require_once(dirname(__FILE__) . "/TrueSkillFactorGraphLayer.php");
require_once(dirname(__FILE__) . "/TeamPerformancesToTeamPerformanceDifferencesLayer.php");
require_once(dirname(__FILE__) . "/TeamDifferencesComparisonLayer.php");
<?php namespace Moserware\Skills\TrueSkill\Layers;
use Moserware\Skills\PartialPlay;
use Moserware\Skills\FactorGraphs\ScheduleLoop;
@ -26,18 +17,17 @@ class PlayerPerformancesToTeamPerformancesLayer extends TrueSkillFactorGraphLaye
public function buildLayer()
{
$inputVariablesGroups = &$this->getInputVariablesGroups();
foreach ($inputVariablesGroups as &$currentTeam)
{
foreach ($inputVariablesGroups as &$currentTeam) {
$localCurrentTeam = &$currentTeam;
$teamPerformance = &$this->createOutputVariable($localCurrentTeam);
$newSumFactor = $this->createPlayerToTeamSumFactor($localCurrentTeam, $teamPerformance);
$this->addLayerFactor($newSumFactor);
// REVIEW: Does it make sense to have groups of one?
$outputVariablesGroups = &$this->getOutputVariablesGroups();
$outputVariablesGroups[] = array($teamPerformance);
}
}
}
public function createPriorSchedule()
@ -45,45 +35,41 @@ class PlayerPerformancesToTeamPerformancesLayer extends TrueSkillFactorGraphLaye
$localFactors = &$this->getLocalFactors();
$sequence = &$this->scheduleSequence(
array_map(
function($weightedSumFactor)
{
return new ScheduleStep("Perf to Team Perf Step", $weightedSumFactor, 0);
},
$localFactors),
"all player perf to team perf schedule");
array_map(
function ($weightedSumFactor) {
return new ScheduleStep("Perf to Team Perf Step", $weightedSumFactor, 0);
},
$localFactors),
"all player perf to team perf schedule");
return $sequence;
}
protected function createPlayerToTeamSumFactor(&$teamMembers, &$sumVariable)
{
$weights = array_map(
function($v)
{
$player = &$v->getKey();
return PartialPlay::getPartialPlayPercentage($player);
},
$teamMembers);
function ($v) {
$player = &$v->getKey();
return PartialPlay::getPartialPlayPercentage($player);
},
$teamMembers);
return new GaussianWeightedSumFactor(
$sumVariable,
$teamMembers,
$weights);
$sumVariable,
$teamMembers,
$weights);
}
public function createPosteriorSchedule()
{
{
$allFactors = array();
$localFactors = &$this->getLocalFactors();
foreach($localFactors as &$currentFactor)
{
foreach ($localFactors as &$currentFactor) {
$localCurrentFactor = &$currentFactor;
$numberOfMessages = $localCurrentFactor->getNumberOfMessages();
for($currentIteration = 1; $currentIteration < $numberOfMessages; $currentIteration++)
{
for ($currentIteration = 1; $currentIteration < $numberOfMessages; $currentIteration++) {
$allFactors[] = new ScheduleStep("team sum perf @" . $currentIteration,
$localCurrentFactor, $currentIteration);
$localCurrentFactor, $currentIteration);
}
}
return $this->scheduleSequence($allFactors, "all of the team's sum iterations");
@ -91,16 +77,13 @@ class PlayerPerformancesToTeamPerformancesLayer extends TrueSkillFactorGraphLaye
private function &createOutputVariable(&$team)
{
$memberNames = \array_map(function ($currentPlayer)
{
return (string)($currentPlayer->getKey());
},
$team);
$memberNames = \array_map(function ($currentPlayer) {
return (string)($currentPlayer->getKey());
},
$team);
$teamMemberNames = \join(", ", $memberNames);
$outputVariable = &$this->getParentFactorGraph()->getVariableFactory()->createBasicVariable("Team[" . $teamMemberNames . "]'s performance");
return $outputVariable;
}
}
?>
}

@ -1,20 +1,9 @@
<?php
namespace Moserware\Skills\TrueSkill\Layers;
require_once(dirname(__FILE__) . "/../../Rating.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Schedule.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../../Numerics/BasicMath.php");
require_once(dirname(__FILE__) . "/../TrueSkillFactorGraph.php");
require_once(dirname(__FILE__) . "/../Factors/GaussianPriorFactor.php");
require_once(dirname(__FILE__) . "/TrueSkillFactorGraphLayer.php");
<?php namespace Moserware\Skills\TrueSkill\Layers;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\Rating;
use Moserware\Skills\FactorGraphs\ScheduleLoop;
use Moserware\Skills\FactorGraphs\ScheduleSequence;
use Moserware\Skills\FactorGraphs\ScheduleStep;
use Moserware\Skills\FactorGraphs\Variable;
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\TrueSkill\TrueSkillFactorGraph;
use Moserware\Skills\TrueSkill\Factors\GaussianPriorFactor;
@ -33,14 +22,12 @@ class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
public function buildLayer()
{
$teams = &$this->_teams;
foreach ($teams as &$currentTeam)
{
foreach ($teams as &$currentTeam) {
$localCurrentTeam = &$currentTeam;
$currentTeamSkills = array();
$currentTeamAllPlayers = $localCurrentTeam->getAllPlayers();
foreach ($currentTeamAllPlayers as &$currentTeamPlayer)
{
foreach ($currentTeamAllPlayers as &$currentTeamPlayer) {
$localCurrentTeamPlayer = &$currentTeamPlayer;
$currentTeamPlayerRating = $currentTeam->getRating($localCurrentTeamPlayer);
$playerSkill = &$this->createSkillOutputVariable($localCurrentTeamPlayer);
@ -58,21 +45,22 @@ class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
{
$localFactors = &$this->getLocalFactors();
return $this->scheduleSequence(
array_map(
function(&$prior)
{
return new ScheduleStep("Prior to Skill Step", $prior, 0);
},
$localFactors),
"All priors");
array_map(
function (&$prior) {
return new ScheduleStep("Prior to Skill Step", $prior, 0);
},
$localFactors),
"All priors");
}
private function createPriorFactor(&$player, Rating &$priorRating, Variable &$skillsVariable)
{
return new GaussianPriorFactor($priorRating->getMean(),
square($priorRating->getStandardDeviation()) +
square($this->getParentFactorGraph()->getGameInfo()->getDynamicsFactor()),
$skillsVariable);
return new GaussianPriorFactor(
$priorRating->getMean(),
BasicMatch::square($priorRating->getStandardDeviation()) +
BasicMatch::square($this->getParentFactorGraph()->getGameInfo()->getDynamicsFactor()),
$skillsVariable
);
}
private function &createSkillOutputVariable(&$key)
@ -82,6 +70,4 @@ class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
$skillOutputVariable = &$variableFactory->createKeyedVariable($key, $key . "'s skill");
return $skillOutputVariable;
}
}
?>
}

@ -1,15 +1,8 @@
<?php
namespace Moserware\Skills\TrueSkill\Layers;
require_once(dirname(__FILE__) . "/../../FactorGraphs/Schedule.php");
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../../Numerics/BasicMath.php");
require_once(dirname(__FILE__) . "/../TrueSkillFactorGraph.php");
require_once(dirname(__FILE__) . "/../Factors/GaussianLikelihoodFactor.php");
require_once(dirname(__FILE__) . "/TrueSkillFactorGraphLayer.php");
<?php namespace Moserware\Skills\TrueSkill\Layers;
use Moserware\Skills\FactorGraphs\ScheduleStep;
use Moserware\Skills\FactorGraphs\KeyedVariable;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\TrueSkill\TrueSkillFactorGraph;
use Moserware\Skills\TrueSkill\Factors\GaussianLikelihoodFactor;
@ -25,27 +18,29 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
$inputVariablesGroups = &$this->getInputVariablesGroups();
$outputVariablesGroups = &$this->getOutputVariablesGroups();
foreach ($inputVariablesGroups as &$currentTeam)
{
foreach ($inputVariablesGroups as &$currentTeam) {
$currentTeamPlayerPerformances = array();
foreach ($currentTeam as &$playerSkillVariable)
{
foreach ($currentTeam as &$playerSkillVariable) {
$localPlayerSkillVariable = &$playerSkillVariable;
$currentPlayer = &$localPlayerSkillVariable->getKey();
$playerPerformance = &$this->createOutputVariable($currentPlayer);
$newLikelihoodFactor = $this->createLikelihood($localPlayerSkillVariable, $playerPerformance);
$this->addLayerFactor($newLikelihoodFactor);
$currentTeamPlayerPerformances[] = $playerPerformance;
}
}
$outputVariablesGroups[] = $currentTeamPlayerPerformances;
}
}
private function createLikelihood(KeyedVariable &$playerSkill, KeyedVariable &$playerPerformance)
{
return new GaussianLikelihoodFactor(square($this->getParentFactorGraph()->getGameInfo()->getBeta()), $playerPerformance, $playerSkill);
return new GaussianLikelihoodFactor(
BasicMatch::square($this->getParentFactorGraph()->getGameInfo()->getBeta()),
$playerPerformance,
$playerSkill
);
}
private function &createOutputVariable(&$key)
@ -58,27 +53,23 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
{
$localFactors = &$this->getLocalFactors();
return $this->scheduleSequence(
array_map(
function($likelihood)
{
return new ScheduleStep("Skill to Perf step", $likelihood, 0);
},
$localFactors),
"All skill to performance sending");
array_map(
function ($likelihood) {
return new ScheduleStep("Skill to Perf step", $likelihood, 0);
},
$localFactors),
"All skill to performance sending");
}
public function createPosteriorSchedule()
{
$localFactors = &$this->getLocalFactors();
return $this->scheduleSequence(
array_map(
function($likelihood)
{
return new ScheduleStep("name", $likelihood, 1);
},
$localFactors),
"All skill to performance sending");
array_map(
function ($likelihood) {
return new ScheduleStep("name", $likelihood, 1);
},
$localFactors),
"All skill to performance sending");
}
}
?>

@ -1,11 +1,4 @@
<?php
namespace Moserware\Skills\TrueSkill\Layers;
require_once(dirname(__FILE__) . "/../DrawMargin.php");
require_once(dirname(__FILE__) . "/../TrueSkillFactorGraph.php");
require_once(dirname(__FILE__) . "/../Factors/GaussianGreaterThanFactor.php");
require_once(dirname(__FILE__) . "/../Factors/GaussianWithinFactor.php");
require_once(dirname(__FILE__) . "/TrueSkillFactorGraphLayer.php");
<?php namespace Moserware\Skills\TrueSkill\Layers;
use Moserware\Skills\TrueSkill\DrawMargin;
use Moserware\Skills\TrueSkill\TrueSkillFactorGraph;
@ -30,8 +23,7 @@ class TeamDifferencesComparisonLayer extends TrueSkillFactorGraphLayer
$inputVarGroups = &$this->getInputVariablesGroups();
$inputVarGroupsCount = count($inputVarGroups);
for ($i = 0; $i < $inputVarGroupsCount; $i++)
{
for ($i = 0; $i < $inputVarGroupsCount; $i++) {
$isDraw = ($this->_teamRanks[$i] == $this->_teamRanks[$i + 1]);
$teamDifference = &$inputVarGroups[$i][0];
@ -43,6 +35,4 @@ class TeamDifferencesComparisonLayer extends TrueSkillFactorGraphLayer
$this->addLayerFactor($factor);
}
}
}
?>
}

@ -1,13 +1,6 @@
<?php
namespace Moserware\Skills\TrueSkill\Layers;
require_once(dirname(__FILE__) . "/../../FactorGraphs/Variable.php");
require_once(dirname(__FILE__) . "/../TrueSkillFactorGraph.php");
require_once(dirname(__FILE__) . "/../Factors/GaussianWeightedSumFactor.php");
require_once(dirname(__FILE__) . "/TrueSkillFactorGraphLayer.php");
<?php namespace Moserware\Skills\TrueSkill\Layers;
use Moserware\Skills\FactorGraphs\Variable;
use Moserware\Skills\TrueSkill\DrawMargin;
use Moserware\Skills\TrueSkill\TrueSkillFactorGraph;
use Moserware\Skills\TrueSkill\Factors\GaussianWeightedSumFactor;
@ -51,6 +44,4 @@ class TeamPerformancesToTeamPerformanceDifferencesLayer extends TrueSkillFactorG
$outputVariable = &$this->getParentFactorGraph()->getVariableFactory()->createBasicVariable("Team performance difference");
return $outputVariable;
}
}
?>
}

@ -1,8 +1,4 @@
<?php
namespace Moserware\Skills\TrueSkill\Layers;
require_once(dirname(__FILE__) . "/../../FactorGraphs/FactorGraphLayer.php");
require_once(dirname(__FILE__) . "/../TrueSkillFactorGraph.php");
<?php namespace Moserware\Skills\TrueSkill\Layers;
use Moserware\Skills\FactorGraphs\FactorGraphLayer;
use Moserware\Skills\TrueSkill\TrueSkillFactorGraph;
@ -13,6 +9,4 @@ abstract class TrueSkillFactorGraphLayer extends FactorGraphLayer
{
parent::__construct($parentGraph);
}
}
?>
}

@ -1,22 +1,5 @@
<?php
namespace Moserware\Skills\TrueSkill;
<?php namespace Moserware\Skills\TrueSkill;
require_once(dirname(__FILE__) . '/../GameInfo.php');
require_once(dirname(__FILE__) . '/../Rating.php');
require_once(dirname(__FILE__) . '/../RatingContainer.php');
require_once(dirname(__FILE__) . '/../FactorGraphs/FactorGraph.php');
require_once(dirname(__FILE__) . '/../FactorGraphs/FactorList.php');
require_once(dirname(__FILE__) . '/../FactorGraphs/Schedule.php');
require_once(dirname(__FILE__) . '/../FactorGraphs/VariableFactory.php');
require_once(dirname(__FILE__) . '/../Numerics/GaussianDistribution.php');
require_once(dirname(__FILE__) . '/Layers/IteratedTeamDifferencesInnerLayer.php');
require_once(dirname(__FILE__) . '/Layers/PlayerPerformancesToTeamPerformancesLayer.php');
require_once(dirname(__FILE__) . '/Layers/PlayerPriorValuesToSkillsLayer.php');
require_once(dirname(__FILE__) . '/Layers/PlayerSkillsToPerformancesLayer.php');
require_once(dirname(__FILE__) . '/Layers/TeamDifferencesComparisonLayer.php');
require_once(dirname(__FILE__) . '/Layers/TeamPerformancesToTeamPerformanceDifferencesLayer.php');
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\GameInfo;
use Moserware\Skills\Rating;
use Moserware\Skills\RatingContainer;
@ -35,28 +18,27 @@ class TrueSkillFactorGraph extends FactorGraph
{
private $_gameInfo;
private $_layers;
private $_priorLayer;
private $_priorLayer;
public function __construct(GameInfo &$gameInfo, array &$teams, array $teamRanks)
{
$this->_priorLayer = new PlayerPriorValuesToSkillsLayer($this, $teams);
$this->_gameInfo = $gameInfo;
$newFactory = new VariableFactory(
function()
{
return GaussianDistribution::fromPrecisionMean(0, 0);
});
function () {
return GaussianDistribution::fromPrecisionMean(0, 0);
});
$this->setVariableFactory($newFactory);
$this->_layers = array(
$this->_priorLayer,
new PlayerSkillsToPerformancesLayer($this),
new PlayerPerformancesToTeamPerformancesLayer($this),
new IteratedTeamDifferencesInnerLayer(
$this,
new TeamPerformancesToTeamPerformanceDifferencesLayer($this),
new TeamDifferencesComparisonLayer($this, $teamRanks))
);
$this->_priorLayer,
new PlayerSkillsToPerformancesLayer($this),
new PlayerPerformancesToTeamPerformancesLayer($this),
new IteratedTeamDifferencesInnerLayer(
$this,
new TeamPerformancesToTeamPerformanceDifferencesLayer($this),
new TeamDifferencesComparisonLayer($this, $teamRanks))
);
}
public function getGameInfo()
@ -69,16 +51,14 @@ class TrueSkillFactorGraph extends FactorGraph
$lastOutput = null;
$layers = &$this->_layers;
foreach ($layers as &$currentLayer)
{
if ($lastOutput != null)
{
foreach ($layers as &$currentLayer) {
if ($lastOutput != null) {
$currentLayer->setInputVariablesGroups($lastOutput);
}
$currentLayer->buildLayer();
$lastOutput = &$currentLayer->getOutputVariablesGroups();
$lastOutput = &$currentLayer->getOutputVariablesGroups();
}
}
@ -93,11 +73,9 @@ class TrueSkillFactorGraph extends FactorGraph
$factorList = new FactorList();
$layers = &$this->_layers;
foreach ($layers as &$currentLayer)
{
foreach ($layers as &$currentLayer) {
$localFactors = &$currentLayer->getLocalFactors();
foreach ($localFactors as &$currentFactor)
{
foreach ($localFactors as &$currentFactor) {
$localCurrentFactor = &$currentFactor;
$factorList->addFactor($localCurrentFactor);
}
@ -112,22 +90,18 @@ class TrueSkillFactorGraph extends FactorGraph
$fullSchedule = array();
$layers = &$this->_layers;
foreach ($layers as &$currentLayer)
{
foreach ($layers as &$currentLayer) {
$currentPriorSchedule = $currentLayer->createPriorSchedule();
if ($currentPriorSchedule != null)
{
if ($currentPriorSchedule != null) {
$fullSchedule[] = $currentPriorSchedule;
}
}
$allLayersReverse = \array_reverse($this->_layers);
foreach ($allLayersReverse as &$currentLayer)
{
foreach ($allLayersReverse as &$currentLayer) {
$currentPosteriorSchedule = $currentLayer->createPosteriorSchedule();
if ($currentPosteriorSchedule != null)
{
if ($currentPosteriorSchedule != null) {
$fullSchedule[] = $currentPosteriorSchedule;
}
}
@ -140,13 +114,11 @@ class TrueSkillFactorGraph extends FactorGraph
$result = new RatingContainer();
$priorLayerOutputVariablesGroups = &$this->_priorLayer->getOutputVariablesGroups();
foreach ($priorLayerOutputVariablesGroups as &$currentTeam)
{
foreach ($currentTeam as &$currentPlayer)
{
$localCurrentPlayer = &$currentPlayer->getKey();
foreach ($priorLayerOutputVariablesGroups as &$currentTeam) {
foreach ($currentTeam as &$currentPlayer) {
$localCurrentPlayer = &$currentPlayer->getKey();
$newRating = new Rating($currentPlayer->getValue()->getMean(),
$currentPlayer->getValue()->getStandardDeviation());
$currentPlayer->getValue()->getStandardDeviation());
$result->setRating($localCurrentPlayer, $newRating);
}
@ -154,6 +126,4 @@ class TrueSkillFactorGraph extends FactorGraph
return $result;
}
}
?>
}

@ -1,9 +1,6 @@
<?php
namespace Moserware\Skills\TrueSkill;
<?php namespace Moserware\Skills\TrueSkill;
require_once(dirname(__FILE__) . '/../Numerics/GaussianDistribution.php');
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\Numerics\GaussianDistribution;
class TruncatedGaussianCorrectionFunctions
{
@ -11,64 +8,64 @@ class TruncatedGaussianCorrectionFunctions
/**
* The "V" function where the team performance difference is greater than the draw margin.
*
*
* In the reference F# implementation, this is referred to as "the additive
* correction of a single-sided truncated Gaussian with unit variance."
*
*
* @param $teamPerformanceDifference
* @param number $drawMargin In the paper, it's referred to as just "ε".
* @param $c
* @return float
*/
public static function vExceedsMarginScaled($teamPerformanceDifference, $drawMargin, $c)
{
return self::vExceedsMargin($teamPerformanceDifference/$c, $drawMargin/$c);
return self::vExceedsMargin($teamPerformanceDifference / $c, $drawMargin / $c);
}
public static function vExceedsMargin($teamPerformanceDifference, $drawMargin)
{
$denominator = GaussianDistribution::cumulativeTo($teamPerformanceDifference - $drawMargin);
if ($denominator < 2.222758749e-162)
{
if ($denominator < 2.222758749e-162) {
return -$teamPerformanceDifference + $drawMargin;
}
return GaussianDistribution::at($teamPerformanceDifference - $drawMargin)/$denominator;
return GaussianDistribution::at($teamPerformanceDifference - $drawMargin) / $denominator;
}
/**
* The "W" function where the team performance difference is greater than the draw margin.
*
*
* In the reference F# implementation, this is referred to as "the multiplicative
* correction of a single-sided truncated Gaussian with unit variance."
*/
public static function wExceedsMarginScaled($teamPerformanceDifference, $drawMargin, $c)
{
return self::wExceedsMargin($teamPerformanceDifference/$c, $drawMargin/$c);
return self::wExceedsMargin($teamPerformanceDifference / $c, $drawMargin / $c);
}
public static function wExceedsMargin($teamPerformanceDifference, $drawMargin)
{
$denominator = GaussianDistribution::cumulativeTo($teamPerformanceDifference - $drawMargin);
if ($denominator < 2.222758749e-162)
{
if ($teamPerformanceDifference < 0.0)
{
if ($denominator < 2.222758749e-162) {
if ($teamPerformanceDifference < 0.0) {
return 1.0;
}
return 0.0;
}
$vWin = self::vExceedsMargin($teamPerformanceDifference, $drawMargin);
return $vWin*($vWin + $teamPerformanceDifference - $drawMargin);
return $vWin * ($vWin + $teamPerformanceDifference - $drawMargin);
}
// the additive correction of a double-sided truncated Gaussian with unit variance
public static function vWithinMarginScaled($teamPerformanceDifference, $drawMargin, $c)
{
return self::vWithinMargin($teamPerformanceDifference/$c, $drawMargin/$c);
return self::vWithinMargin($teamPerformanceDifference / $c, $drawMargin / $c);
}
// from F#:
public static function vWithinMargin($teamPerformanceDifference, $drawMargin)
{
@ -77,10 +74,8 @@ class TruncatedGaussianCorrectionFunctions
GaussianDistribution::cumulativeTo($drawMargin - $teamPerformanceDifferenceAbsoluteValue) -
GaussianDistribution::cumulativeTo(-$drawMargin - $teamPerformanceDifferenceAbsoluteValue);
if ($denominator < 2.222758749e-162)
{
if ($teamPerformanceDifference < 0.0)
{
if ($denominator < 2.222758749e-162) {
if ($teamPerformanceDifference < 0.0) {
return -$teamPerformanceDifference - $drawMargin;
}
@ -88,20 +83,19 @@ class TruncatedGaussianCorrectionFunctions
}
$numerator = GaussianDistribution::at(-$drawMargin - $teamPerformanceDifferenceAbsoluteValue) -
GaussianDistribution::at($drawMargin - $teamPerformanceDifferenceAbsoluteValue);
GaussianDistribution::at($drawMargin - $teamPerformanceDifferenceAbsoluteValue);
if ($teamPerformanceDifference < 0.0)
{
return -$numerator/$denominator;
if ($teamPerformanceDifference < 0.0) {
return -$numerator / $denominator;
}
return $numerator/$denominator;
return $numerator / $denominator;
}
// the multiplicative correction of a double-sided truncated Gaussian with unit variance
public static function wWithinMarginScaled($teamPerformanceDifference, $drawMargin, $c)
{
return self::wWithinMargin($teamPerformanceDifference/$c, $drawMargin/$c);
return self::wWithinMargin($teamPerformanceDifference / $c, $drawMargin / $c);
}
// From F#:
@ -109,25 +103,23 @@ class TruncatedGaussianCorrectionFunctions
{
$teamPerformanceDifferenceAbsoluteValue = abs($teamPerformanceDifference);
$denominator = GaussianDistribution::cumulativeTo($drawMargin - $teamPerformanceDifferenceAbsoluteValue)
-
GaussianDistribution::cumulativeTo(-$drawMargin - $teamPerformanceDifferenceAbsoluteValue);
-
GaussianDistribution::cumulativeTo(-$drawMargin - $teamPerformanceDifferenceAbsoluteValue);
if ($denominator < 2.222758749e-162)
{
if ($denominator < 2.222758749e-162) {
return 1.0;
}
$vt = self::vWithinMargin($teamPerformanceDifferenceAbsoluteValue, $drawMargin);
return $vt*$vt +
(
($drawMargin - $teamPerformanceDifferenceAbsoluteValue)
*
GaussianDistribution::at(
$drawMargin - $teamPerformanceDifferenceAbsoluteValue)
- (-$drawMargin - $teamPerformanceDifferenceAbsoluteValue)
*
GaussianDistribution::at(-$drawMargin - $teamPerformanceDifferenceAbsoluteValue))/$denominator;
return $vt * $vt +
(
($drawMargin - $teamPerformanceDifferenceAbsoluteValue)
*
GaussianDistribution::at(
$drawMargin - $teamPerformanceDifferenceAbsoluteValue)
- (-$drawMargin - $teamPerformanceDifferenceAbsoluteValue)
*
GaussianDistribution::at(-$drawMargin - $teamPerformanceDifferenceAbsoluteValue)) / $denominator;
}
}
?>
}

@ -1,25 +1,8 @@
<?php
namespace Moserware\Skills\TrueSkill;
require_once(dirname(__FILE__) . "/../GameInfo.php");
require_once(dirname(__FILE__) . "/../Guard.php");
require_once(dirname(__FILE__) . "/../PairwiseComparison.php");
require_once(dirname(__FILE__) . "/../RankSorter.php");
require_once(dirname(__FILE__) . "/../Rating.php");
require_once(dirname(__FILE__) . "/../RatingContainer.php");
require_once(dirname(__FILE__) . "/../SkillCalculator.php");
require_once(dirname(__FILE__) . "/../PlayersRange.php");
require_once(dirname(__FILE__) . "/../TeamsRange.php");
require_once(dirname(__FILE__) . "/../Numerics/BasicMath.php");
require_once(dirname(__FILE__) . "/DrawMargin.php");
require_once(dirname(__FILE__) . "/TruncatedGaussianCorrectionFunctions.php");
<?php namespace Moserware\Skills\TrueSkill;
use Moserware\Skills\GameInfo;
use Moserware\Skills\Guard;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\PairwiseComparison;
use Moserware\Skills\RankSorter;
use Moserware\Skills\Rating;
@ -36,7 +19,6 @@ use Moserware\Skills\TeamsRange;
* When you only have two players, a lot of the math simplifies. The main purpose of this class
* is to show the bare minimum of what a TrueSkill implementation should have.
*/
class TwoPlayerTrueSkillCalculator extends SkillCalculator
{
public function __construct()
@ -86,16 +68,18 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
private static function calculateNewRating(GameInfo $gameInfo, Rating $selfRating, Rating $opponentRating, $comparison)
{
$drawMargin = DrawMargin::getDrawMarginFromDrawProbability($gameInfo->getDrawProbability(),
$gameInfo->getBeta());
$drawMargin = DrawMargin::getDrawMarginFromDrawProbability(
$gameInfo->getDrawProbability(),
$gameInfo->getBeta()
);
$c =
sqrt(
square($selfRating->getStandardDeviation())
+
square($opponentRating->getStandardDeviation())
+
2*square($gameInfo->getBeta()));
$c = sqrt(
BasicMatch::square($selfRating->getStandardDeviation())
+
BasicMatch::square($opponentRating->getStandardDeviation())
+
2 * BasicMatch::square($gameInfo->getBeta())
);
$winningMean = $selfRating->getMean();
$losingMean = $opponentRating->getMean();
@ -128,10 +112,10 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
$rankMultiplier = 1;
}
$meanMultiplier = (square($selfRating->getStandardDeviation()) + square($gameInfo->getDynamicsFactor()))/$c;
$meanMultiplier = (BasicMatch::square($selfRating->getStandardDeviation()) + BasicMatch::square($gameInfo->getDynamicsFactor()))/$c;
$varianceWithDynamics = square($selfRating->getStandardDeviation()) + square($gameInfo->getDynamicsFactor());
$stdDevMultiplier = $varianceWithDynamics/square($c);
$varianceWithDynamics = BasicMatch::square($selfRating->getStandardDeviation()) + BasicMatch::square($gameInfo->getDynamicsFactor());
$stdDevMultiplier = $varianceWithDynamics/BasicMatch::square($c);
$newMean = $selfRating->getMean() + ($rankMultiplier*$meanMultiplier*$v);
$newStdDev = sqrt($varianceWithDynamics*(1 - $w*$stdDevMultiplier));
@ -157,9 +141,9 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
$player2Rating = $team2Ratings[0];
// We just use equation 4.1 found on page 8 of the TrueSkill 2006 paper:
$betaSquared = square($gameInfo->getBeta());
$player1SigmaSquared = square($player1Rating->getStandardDeviation());
$player2SigmaSquared = square($player2Rating->getStandardDeviation());
$betaSquared = BasicMatch::square($gameInfo->getBeta());
$player1SigmaSquared = BasicMatch::square($player1Rating->getStandardDeviation());
$player2SigmaSquared = BasicMatch::square($player2Rating->getStandardDeviation());
// This is the square root part of the equation:
$sqrtPart =
@ -171,11 +155,10 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
// This is the exponent part of the equation:
$expPart =
exp(
(-1*square($player1Rating->getMean() - $player2Rating->getMean()))
(-1*BasicMatch::square($player1Rating->getMean() - $player2Rating->getMean()))
/
(2*(2*$betaSquared + $player1SigmaSquared + $player2SigmaSquared)));
return $sqrtPart*$expPart;
}
}
?>
}

@ -1,27 +1,8 @@
<?php
namespace Moserware\Skills\TrueSkill;
require_once(dirname(__FILE__) . "/../GameInfo.php");
require_once(dirname(__FILE__) . "/../Guard.php");
require_once(dirname(__FILE__) . "/../PairwiseComparison.php");
require_once(dirname(__FILE__) . "/../RankSorter.php");
require_once(dirname(__FILE__) . "/../Rating.php");
require_once(dirname(__FILE__) . "/../RatingContainer.php");
require_once(dirname(__FILE__) . "/../SkillCalculator.php");
require_once(dirname(__FILE__) . "/../Team.php");
require_once(dirname(__FILE__) . "/../PlayersRange.php");
require_once(dirname(__FILE__) . "/../TeamsRange.php");
require_once(dirname(__FILE__) . "/../Numerics/BasicMath.php");
require_once(dirname(__FILE__) . "/DrawMargin.php");
require_once(dirname(__FILE__) . "/TruncatedGaussianCorrectionFunctions.php");
<?php namespace Moserware\Skills\TrueSkill;
use Moserware\Skills\GameInfo;
use Moserware\Skills\Guard;
use Moserware\Skills\Numerics\BasicMatch;
use Moserware\Skills\PairwiseComparison;
use Moserware\Skills\RankSorter;
use Moserware\Skills\Rating;
@ -36,7 +17,7 @@ use Moserware\Skills\Team;
/**
* Calculates new ratings for only two teams where each team has 1 or more players.
*
*
* When you only have two teams, the math is still simple: no factor graphs are used yet.
*/
class TwoTeamTrueSkillCalculator extends SkillCalculator
@ -63,16 +44,16 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
$results = new RatingContainer();
self::updatePlayerRatings($gameInfo,
$results,
$team1,
$team2,
$wasDraw ? PairwiseComparison::DRAW : PairwiseComparison::WIN);
$results,
$team1,
$team2,
$wasDraw ? PairwiseComparison::DRAW : PairwiseComparison::WIN);
self::updatePlayerRatings($gameInfo,
$results,
$team2,
$team1,
$wasDraw ? PairwiseComparison::DRAW : PairwiseComparison::LOSE);
$results,
$team2,
$team1,
$wasDraw ? PairwiseComparison::DRAW : PairwiseComparison::LOSE);
return $results;
}
@ -83,41 +64,39 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
Team $otherTeam,
$selfToOtherTeamComparison)
{
$drawMargin = DrawMargin::getDrawMarginFromDrawProbability($gameInfo->getDrawProbability(),
$gameInfo->getBeta());
$drawMargin = DrawMargin::getDrawMarginFromDrawProbability(
$gameInfo->getDrawProbability(),
$gameInfo->getBeta()
);
$betaSquared = square($gameInfo->getBeta());
$tauSquared = square($gameInfo->getDynamicsFactor());
$betaSquared = BasicMatch::square($gameInfo->getBeta());
$tauSquared = BasicMatch::square($gameInfo->getDynamicsFactor());
$totalPlayers = $selfTeam->count() + $otherTeam->count();
$meanGetter =
function($currentRating)
{
return $currentRating->getMean();
};
$meanGetter = function ($currentRating) {
return $currentRating->getMean();
};
$selfMeanSum = sum($selfTeam->getAllRatings(), $meanGetter);
$otherTeamMeanSum = sum($otherTeam->getAllRatings(), $meanGetter);
$selfMeanSum = BasicMatch::sum($selfTeam->getAllRatings(), $meanGetter);
$otherTeamMeanSum = BasicMatch::sum($otherTeam->getAllRatings(), $meanGetter);
$varianceGetter =
function($currentRating)
{
return square($currentRating->getStandardDeviation());
};
$varianceGetter = function ($currentRating) {
return BasicMatch::square($currentRating->getStandardDeviation());
};
$c = sqrt(
sum($selfTeam->getAllRatings(), $varianceGetter)
+
sum($otherTeam->getAllRatings(), $varianceGetter)
+
$totalPlayers*$betaSquared);
BasicMatch::sum($selfTeam->getAllRatings(), $varianceGetter)
+
BasicMatch::sum($otherTeam->getAllRatings(), $varianceGetter)
+
$totalPlayers * $betaSquared
);
$winningMean = $selfMeanSum;
$losingMean = $otherTeamMeanSum;
switch ($selfToOtherTeamComparison)
{
switch ($selfToOtherTeamComparison) {
case PairwiseComparison::WIN:
case PairwiseComparison::DRAW:
// NOP
@ -130,15 +109,12 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
$meanDelta = $winningMean - $losingMean;
if ($selfToOtherTeamComparison != PairwiseComparison::DRAW)
{
if ($selfToOtherTeamComparison != PairwiseComparison::DRAW) {
// non-draw case
$v = TruncatedGaussianCorrectionFunctions::vExceedsMarginScaled($meanDelta, $drawMargin, $c);
$w = TruncatedGaussianCorrectionFunctions::wExceedsMarginScaled($meanDelta, $drawMargin, $c);
$rankMultiplier = (int) $selfToOtherTeamComparison;
}
else
{
$rankMultiplier = (int)$selfToOtherTeamComparison;
} else {
// assume draw
$v = TruncatedGaussianCorrectionFunctions::vWithinMarginScaled($meanDelta, $drawMargin, $c);
$w = TruncatedGaussianCorrectionFunctions::wWithinMarginScaled($meanDelta, $drawMargin, $c);
@ -146,19 +122,18 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
}
$selfTeamAllPlayers = &$selfTeam->getAllPlayers();
foreach ($selfTeamAllPlayers as &$selfTeamCurrentPlayer)
{
foreach ($selfTeamAllPlayers as &$selfTeamCurrentPlayer) {
$localSelfTeamCurrentPlayer = &$selfTeamCurrentPlayer;
$previousPlayerRating = $selfTeam->getRating($localSelfTeamCurrentPlayer);
$meanMultiplier = (square($previousPlayerRating->getStandardDeviation()) + $tauSquared)/$c;
$stdDevMultiplier = (square($previousPlayerRating->getStandardDeviation()) + $tauSquared)/square($c);
$meanMultiplier = (BasicMatch::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) / $c;
$stdDevMultiplier = (BasicMatch::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) / BasicMatch::square($c);
$playerMeanDelta = ($rankMultiplier*$meanMultiplier*$v);
$playerMeanDelta = ($rankMultiplier * $meanMultiplier * $v);
$newMean = $previousPlayerRating->getMean() + $playerMeanDelta;
$newStdDev =
sqrt((square($previousPlayerRating->getStandardDeviation()) + $tauSquared)*(1 - $w*$stdDevMultiplier));
sqrt((BasicMatch::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) * (1 - $w * $stdDevMultiplier));
$newPlayerRatings->setRating($localSelfTeamCurrentPlayer, new Rating($newMean, $newStdDev));
}
@ -182,45 +157,38 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
$totalPlayers = $team1Count + $team2Count;
$betaSquared = square($gameInfo->getBeta());
$betaSquared = BasicMatch::square($gameInfo->getBeta());
$meanGetter =
function($currentRating)
{
return $currentRating->getMean();
};
$meanGetter = function ($currentRating) {
return $currentRating->getMean();
};
$varianceGetter =
function($currentRating)
{
return square($currentRating->getStandardDeviation());
};
$varianceGetter = function ($currentRating) {
return BasicMatch::square($currentRating->getStandardDeviation());
};
$team1MeanSum = sum($team1Ratings, $meanGetter);
$team1StdDevSquared = sum($team1Ratings, $varianceGetter);
$team1MeanSum = BasicMatch::sum($team1Ratings, $meanGetter);
$team1StdDevSquared = BasicMatch::sum($team1Ratings, $varianceGetter);
$team2MeanSum = sum($team2Ratings, $meanGetter);
$team2SigmaSquared = sum($team2Ratings, $varianceGetter);
$team2MeanSum = BasicMatch::sum($team2Ratings, $meanGetter);
$team2SigmaSquared = BasicMatch::sum($team2Ratings, $varianceGetter);
// This comes from equation 4.1 in the TrueSkill paper on page 8
// The equation was broken up into the part under the square root sign and
// the exponential part to make the code easier to read.
$sqrtPart
= sqrt(
($totalPlayers*$betaSquared)
/
($totalPlayers*$betaSquared + $team1StdDevSquared + $team2SigmaSquared)
);
$sqrtPart = sqrt(
($totalPlayers * $betaSquared)
/
($totalPlayers * $betaSquared + $team1StdDevSquared + $team2SigmaSquared)
);
$expPart
= exp(
(-1*square($team1MeanSum - $team2MeanSum))
/
(2*($totalPlayers*$betaSquared + $team1StdDevSquared + $team2SigmaSquared))
);
$expPart = exp(
(-1 * BasicMatch::square($team1MeanSum - $team2MeanSum))
/
(2 * ($totalPlayers * $betaSquared + $team1StdDevSquared + $team2SigmaSquared))
);
return $expPart*$sqrtPart;
return $expPart * $sqrtPart;
}
}
?>
}

@ -1,6 +1,5 @@
<?php namespace Moserware\Skills\Tests\Numerics;
use Moserware\Numerics\GaussianDistribution;
use Moserware\Skills\Tests\TestCase;
@ -37,10 +36,10 @@ class GaussianDistributionTest extends TestCase
$product2 = GaussianDistribution::multiply($m4s5, $m6s7);
$expectedMean = (4 * square(7) + 6 * square(5)) / (square(5) + square(7));
$expectedMean = (4 * BasicMatch::square(7) + 6 * BasicMatch::square(5)) / (BasicMatch::square(5) + BasicMatch::square(7));
$this->assertEquals($expectedMean, $product2->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE);
$expectedSigma = sqrt(((square(5) * square(7)) / (square(5) + square(7))));
$expectedSigma = sqrt(((BasicMatch::square(5) * BasicMatch::square(7)) / (BasicMatch::square(5) + BasicMatch::square(7))));
$this->assertEquals($expectedSigma, $product2->getStandardDeviation(), '', GaussianDistributionTest::ERROR_TOLERANCE);
}
@ -54,7 +53,7 @@ class GaussianDistributionTest extends TestCase
$this->assertEquals(2.0, $productDividedByStandardNormal->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE);
$this->assertEquals(3.0, $productDividedByStandardNormal->getStandardDeviation(),'', GaussianDistributionTest::ERROR_TOLERANCE);
$product2 = new GaussianDistribution((4 * square(7) + 6 * square(5)) / (square(5) + square(7)), sqrt(((square(5) * square(7)) / (square(5) + square(7)))));
$product2 = new GaussianDistribution((4 * BasicMatch::square(7) + 6 * BasicMatch::square(5)) / (BasicMatch::square(5) + BasicMatch::square(7)), sqrt(((BasicMatch::square(5) * BasicMatch::square(7)) / (BasicMatch::square(5) + BasicMatch::square(7)))));
$m4s5 = new GaussianDistribution(4,5);
$product2DividedByM4S5 = GaussianDistribution::divide($product2, $m4s5);
$this->assertEquals(6.0, $product2DividedByM4S5->getMean(), '', GaussianDistributionTest::ERROR_TOLERANCE);