mirror of
https://github.com/furyfire/trueskill.git
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PHPMD reintroduced.
This commit is contained in:
@ -15,7 +15,7 @@ abstract class Factor
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*/
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private array $messages = [];
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private readonly HashMap $messageToVariableBinding;
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private readonly HashMap $msgToVariableBinding;
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/**
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* @var Variable[] $variables
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@ -24,7 +24,7 @@ abstract class Factor
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protected function __construct()
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{
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$this->messageToVariableBinding = new HashMap();
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$this->msgToVariableBinding = new HashMap();
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}
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/**
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@ -70,7 +70,7 @@ abstract class Factor
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{
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Guard::argumentIsValidIndex($messageIndex, count($this->messages), 'messageIndex');
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$message = $this->messages[$messageIndex];
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$variable = $this->messageToVariableBinding->getValue($message);
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$variable = $this->msgToVariableBinding->getValue($message);
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return $this->updateMessageVariable($message, $variable);
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}
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@ -85,7 +85,7 @@ abstract class Factor
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*/
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public function resetMarginals(): void
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{
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$allValues = $this->messageToVariableBinding->getAllValues();
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$allValues = $this->msgToVariableBinding->getAllValues();
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foreach ($allValues as $currentVariable) {
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$currentVariable->resetToPrior();
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}
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@ -101,7 +101,7 @@ abstract class Factor
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Guard::argumentIsValidIndex($messageIndex, count($this->messages), 'messageIndex');
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$message = $this->messages[$messageIndex];
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$variable = $this->messageToVariableBinding->getValue($message);
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$variable = $this->msgToVariableBinding->getValue($message);
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return $this->sendMessageVariable($message, $variable);
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}
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@ -112,7 +112,7 @@ abstract class Factor
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protected function createVariableToMessageBindingWithMessage(Variable $variable, Message $message): Message
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{
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$this->messageToVariableBinding->setValue($message, $variable);
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$this->msgToVariableBinding->setValue($message, $variable);
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$this->messages[] = $message;
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$this->variables[] = $variable;
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@ -17,7 +17,7 @@ abstract class FactorGraphLayer
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/**
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* @var array<int,array<int,Variable>>
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*/
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private array $outputVariablesGroups = [];
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private array $outputVarGroups = [];
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/**
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* @var array<int,array<int,Variable>>
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@ -48,7 +48,7 @@ abstract class FactorGraphLayer
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*/
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public function &getOutputVariablesGroups(): array
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{
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return $this->outputVariablesGroups;
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return $this->outputVarGroups;
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}
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/**
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@ -26,12 +26,12 @@ class FactorList
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$listCount = count($this->list);
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for ($i = 0; $i < $listCount; ++$i) {
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$f = $this->list[$i];
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$factor = $this->list[$i];
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$numberOfMessages = $f->getNumberOfMessages();
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$numberOfMessages = $factor->getNumberOfMessages();
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for ($j = 0; $j < $numberOfMessages; ++$j) {
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$sumLogZ += $f->sendMessageIndex($j);
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$sumLogZ += $factor->sendMessageIndex($j);
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}
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}
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@ -6,20 +6,20 @@ namespace DNW\Skills\FactorGraphs;
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class VariableFactory
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{
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public function __construct(private \Closure $variablePriorInitializer)
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public function __construct(private \Closure $varPriorInitializer)
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{
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}
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public function createBasicVariable(): Variable
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{
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$initializer = $this->variablePriorInitializer;
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$initializer = $this->varPriorInitializer;
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return new Variable($initializer());
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}
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public function createKeyedVariable(mixed $key): KeyedVariable
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{
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$initializer = $this->variablePriorInitializer;
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$initializer = $this->varPriorInitializer;
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return new KeyedVariable($key, $initializer());
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}
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@ -27,7 +27,7 @@ class GameInfo
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public function __construct(
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private readonly float $initialMean = self::DEFAULT_INITIAL_MEAN,
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private readonly float $initialStandardDeviation = self::DEFAULT_INITIAL_STANDARD_DEVIATION,
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private readonly float $initialStdDev = self::DEFAULT_INITIAL_STANDARD_DEVIATION,
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private readonly float $beta = self::DEFAULT_BETA,
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private readonly float $dynamicsFactor = self::DEFAULT_DYNAMICS_FACTOR,
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private readonly float $drawProbability = self::DEFAULT_DRAW_PROBABILITY
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@ -42,7 +42,7 @@ class GameInfo
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public function getInitialStandardDeviation(): float
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{
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return $this->initialStandardDeviation;
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return $this->initialStdDev;
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}
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public function getBeta(): float
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@ -62,6 +62,6 @@ class GameInfo
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public function getDefaultRating(): Rating
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{
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return new Rating($this->initialMean, $this->initialStandardDeviation);
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return new Rating($this->initialMean, $this->initialStdDev);
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}
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}
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@ -13,15 +13,15 @@ namespace DNW\Skills\Numerics;
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class BasicMath
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{
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/**
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* Squares the input (x^2 = x * x)
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* Squares the input (input^2 = input * input)
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*
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* @param $x Value to square (x)
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* @param $input Value to square (input)
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*
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* @return float The squared value (x^2)
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* @return float The squared value (input^2)
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*/
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public static function square(float $x): float
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public static function square(float $input): float
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{
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return $x * $x;
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return $input * $input;
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}
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/**
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@ -55,7 +55,6 @@ class GaussianDistribution
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$this->precisionMean = $this->precision * $this->mean;
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} else {
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$this->precision = \INF;
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$this->precisionMean = $this->mean == 0 ? 0 : \INF;
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}
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}
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@ -175,7 +174,7 @@ class GaussianDistribution
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BasicMath::square($meanDifference) / (2 * $varianceDifference);
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}
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public static function at(float $x, float $mean = 0.0, float $standardDeviation = 1.0): float
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public static function at(float $var, float $mean = 0.0, float $standardDeviation = 1.0): float
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{
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// See http://mathworld.wolfram.com/NormalDistribution.html
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// 1 -(x-mean)^2 / (2*stdDev^2)
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@ -183,22 +182,22 @@ class GaussianDistribution
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// stdDev * sqrt(2*pi)
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$multiplier = 1.0 / ($standardDeviation * self::M_SQRT_2_PI);
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$expPart = exp((-1.0 * BasicMath::square($x - $mean)) / (2 * BasicMath::square($standardDeviation)));
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$expPart = exp((-1.0 * BasicMath::square($var - $mean)) / (2 * BasicMath::square($standardDeviation)));
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return $multiplier * $expPart;
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}
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public static function cumulativeTo(float $x): float
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public static function cumulativeTo(float $var): float
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{
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$result = GaussianDistribution::errorFunctionCumulativeTo(-M_SQRT1_2 * $x);
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$result = GaussianDistribution::errorFunctionCumulativeTo(-M_SQRT1_2 * $var);
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return 0.5 * $result;
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}
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private static function errorFunctionCumulativeTo(float $x): float
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private static function errorFunctionCumulativeTo(float $var): float
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{
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// Derived from page 265 of Numerical Recipes 3rd Edition
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$z = abs($x);
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$z = abs($var);
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$t = 2.0 / (2.0 + $z);
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$ty = 4 * $t - 2;
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@ -246,7 +245,7 @@ class GaussianDistribution
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$ans = $t * exp(-$z * $z + 0.5 * ($coefficients[0] + $ty * $d) - $dd);
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return ($x >= 0.0) ? $ans : (2.0 - $ans);
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return ($var >= 0.0) ? $ans : (2.0 - $ans);
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}
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private static function inverseErrorFunctionCumulativeTo(float $p): float
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@ -272,9 +271,9 @@ class GaussianDistribution
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return ($p < 1.0) ? $x : -$x;
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}
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public static function inverseCumulativeTo(float $x, float $mean = 0.0, float $standardDeviation = 1.0): float
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public static function inverseCumulativeTo(float $var, float $mean = 0.0, float $standardDeviation = 1.0): float
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{
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// From numerical recipes, page 320
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return $mean - M_SQRT2 * $standardDeviation * GaussianDistribution::inverseErrorFunctionCumulativeTo(2 * $x);
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return $mean - M_SQRT2 * $standardDeviation * GaussianDistribution::inverseErrorFunctionCumulativeTo(2 * $var);
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}
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}
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@ -76,10 +76,10 @@ class Matrix
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$transposeMatrix = [];
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$rowMatrixData = $this->matrixRowData;
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for ($currentRowTransposeMatrix = 0; $currentRowTransposeMatrix < $this->columnCount; ++$currentRowTransposeMatrix) {
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for ($currentColumnTransposeMatrix = 0; $currentColumnTransposeMatrix < $this->rowCount; ++$currentColumnTransposeMatrix) {
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$transposeMatrix[$currentRowTransposeMatrix][$currentColumnTransposeMatrix] =
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$rowMatrixData[$currentColumnTransposeMatrix][$currentRowTransposeMatrix];
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for ($curRowTransposeMx = 0; $curRowTransposeMx < $this->columnCount; ++$curRowTransposeMx) {
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for ($curColTransposeMx = 0; $curColTransposeMx < $this->rowCount; ++$curColTransposeMx) {
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$transposeMatrix[$curRowTransposeMx][$curColTransposeMx] =
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$rowMatrixData[$curColTransposeMx][$curRowTransposeMx];
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}
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}
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@ -8,14 +8,14 @@ class PartialPlay
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{
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public static function getPartialPlayPercentage(Player $player): float
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{
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$partialPlayPercentage = $player->getPartialPlayPercentage();
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$partialPlayPct = $player->getPartialPlayPercentage();
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// HACK to get around bug near 0
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$smallestPercentage = 0.0001;
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if ($partialPlayPercentage < $smallestPercentage) {
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return $smallestPercentage;
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$smallestPct = 0.0001;
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if ($partialPlayPct < $smallestPct) {
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return $smallestPct;
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}
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return $partialPlayPercentage;
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return $partialPlayPct;
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}
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}
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@ -13,27 +13,27 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
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private const DEFAULT_PARTIAL_UPDATE_PERCENTAGE = 1.0;
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private readonly float $PartialPlayPercentage;
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private readonly float $PartialPlayPct;
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private readonly float $PartialUpdatePercentage;
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private readonly float $PartialUpdatePct;
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/**
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* Constructs a player.
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*
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* @param string|int $Id The identifier for the player, such as a name.
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* @param float $partialPlayPercentage The weight percentage to give this player when calculating a new rank.
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* @param float $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.
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* @param float $partialPlayPct The weight percentage to give this player when calculating a new rank.
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* @param float $partialUpdatePct Indicated how much of a skill update a player should receive where 0 represents no update and 1.0 represents 100% of the update.
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*/
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public function __construct(
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private readonly mixed $Id,
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float $partialPlayPercentage = self::DEFAULT_PARTIAL_PLAY_PERCENTAGE,
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float $partialUpdatePercentage = self::DEFAULT_PARTIAL_UPDATE_PERCENTAGE
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float $partialPlayPct = self::DEFAULT_PARTIAL_PLAY_PERCENTAGE,
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float $partialUpdatePct = self::DEFAULT_PARTIAL_UPDATE_PERCENTAGE
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)
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{
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Guard::argumentInRangeInclusive($partialPlayPercentage, 0.0, 1.0, 'partialPlayPercentage');
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Guard::argumentInRangeInclusive($partialUpdatePercentage, 0, 1.0, 'partialUpdatePercentage');
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$this->PartialPlayPercentage = $partialPlayPercentage;
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$this->PartialUpdatePercentage = $partialUpdatePercentage;
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Guard::argumentInRangeInclusive($partialPlayPct, 0.0, 1.0, 'partialPlayPercentage');
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Guard::argumentInRangeInclusive($partialUpdatePct, 0, 1.0, 'partialUpdatePercentage');
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$this->PartialPlayPct = $partialPlayPct;
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$this->PartialUpdatePct = $partialUpdatePct;
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}
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/**
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@ -49,7 +49,7 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
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*/
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public function getPartialPlayPercentage(): float
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{
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return $this->PartialPlayPercentage;
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return $this->PartialPlayPct;
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}
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/**
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@ -57,6 +57,6 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
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*/
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public function getPartialUpdatePercentage(): float
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{
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return $this->PartialUpdatePercentage;
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return $this->PartialUpdatePct;
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}
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}
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@ -171,7 +171,8 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
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$currentColumn = 0;
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for ($i = 0; $i < count($teamAssignmentsList) - 1; ++$i) {
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$teamCnt = count($teamAssignmentsList);
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for ($i = 0; $i < $teamCnt - 1; ++$i) {
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$currentTeam = $teamAssignmentsList[$i];
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// Need to add in 0's for all the previous players, since they're not
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@ -60,9 +60,9 @@ class GaussianLikelihoodFactor extends GaussianFactor
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$a * ($marginal2->getPrecision() - $message2Value->getPrecision())
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);
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$oldMarginalWithoutMessage = GaussianDistribution::divide($marginal1, $message1Value);
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$oldMarginalWithoutMsg = GaussianDistribution::divide($marginal1, $message1Value);
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$newMarginal = GaussianDistribution::multiply($oldMarginalWithoutMessage, $newMessage);
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$newMarginal = GaussianDistribution::multiply($oldMarginalWithoutMsg, $newMessage);
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// Update the message and marginal
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@ -19,9 +19,9 @@ use DNW\Skills\Numerics\GaussianDistribution;
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class GaussianWeightedSumFactor extends GaussianFactor
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{
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/**
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* @var array<int[]> $variableIndexOrdersForWeights
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* @var array<int[]> $varIndexOrdersForWeights
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*/
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private array $variableIndexOrdersForWeights = [];
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private array $varIndexOrdersForWeights = [];
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/**
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* This following is used for convenience, for example, the first entry is [0, 1, 2]
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@ -58,9 +58,9 @@ class GaussianWeightedSumFactor extends GaussianFactor
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$variablesToSumLength = count($variablesToSum);
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// 0..n-1
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$this->variableIndexOrdersForWeights[0] = [];
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$this->varIndexOrdersForWeights[0] = [];
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for ($i = 0; $i < ($variablesToSumLength + 1); ++$i) {
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$this->variableIndexOrdersForWeights[0][] = $i;
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$this->varIndexOrdersForWeights[0][] = $i;
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}
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$variableWeightsLength = count($variableWeights);
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@ -113,7 +113,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
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$currentWeights[$currentDestinationWeightIndex] = $finalWeight;
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$currentWeightsSquared[$currentDestinationWeightIndex] = BasicMath::square($finalWeight);
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$variableIndices[count($variableWeights)] = 0;
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$this->variableIndexOrdersForWeights[] = $variableIndices;
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$this->varIndexOrdersForWeights[] = $variableIndices;
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$this->weights[$weightsIndex] = $currentWeights;
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$this->weightsSquared[$weightsIndex] = $currentWeightsSquared;
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@ -160,9 +160,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
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// The math works out so that 1/newPrecision = sum of a_i^2 /marginalsWithoutMessages[i]
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$inverseOfNewPrecisionSum = 0.0;
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$anotherInverseOfNewPrecisionSum = 0.0;
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$weightedMeanSum = 0.0;
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$anotherWeightedMeanSum = 0.0;
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$weightsSquaredLength = count($weightsSquared);
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@ -172,16 +170,11 @@ class GaussianWeightedSumFactor extends GaussianFactor
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$inverseOfNewPrecisionSum += $weightsSquared[$i] /
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($variables[$i + 1]->getValue()->getPrecision() - $messages[$i + 1]->getValue()->getPrecision());
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$diff = GaussianDistribution::divide($variables[$i + 1]->getValue(), $messages[$i + 1]->getValue());
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$anotherInverseOfNewPrecisionSum += $weightsSquared[$i] / $diff->getPrecision();
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$weightedMeanSum += $weights[$i]
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*
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($variables[$i + 1]->getValue()->getPrecisionMean() - $messages[$i + 1]->getValue()->getPrecisionMean())
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/
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($variables[$i + 1]->getValue()->getPrecision() - $messages[$i + 1]->getValue()->getPrecision());
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$anotherWeightedMeanSum += $weights[$i] * $diff->getPrecisionMean() / $diff->getPrecision();
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}
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$newPrecision = 1.0 / $inverseOfNewPrecisionSum;
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@ -214,7 +207,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
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$updatedMessages = [];
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$updatedVariables = [];
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$indicesToUse = $this->variableIndexOrdersForWeights[$messageIndex];
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$indicesToUse = $this->varIndexOrdersForWeights[$messageIndex];
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// The tricky part here is that we have to put the messages and variables in the same
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// order as the weights. Thankfully, the weights and messages share the same index numbers,
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// so we just need to make sure they're consistent
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|
@ -15,8 +15,8 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
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{
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public function __construct(
|
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TrueSkillFactorGraph $parentGraph,
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private readonly TeamPerformancesToTeamPerformanceDifferencesLayer $TeamPerformancesToTeamPerformanceDifferencesLayer,
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private readonly TeamDifferencesComparisonLayer $TeamDifferencesComparisonLayer
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private readonly TeamPerformancesToTeamPerformanceDifferencesLayer $teamPerformancesToTeamPerformanceDifferencesLayer,
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private readonly TeamDifferencesComparisonLayer $teamDifferencesComparisonLayer
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)
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{
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parent::__construct($parentGraph);
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@ -25,20 +25,20 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
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public function getLocalFactors(): array
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{
|
||||
return array_merge(
|
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$this->TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors(),
|
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$this->TeamDifferencesComparisonLayer->getLocalFactors()
|
||||
$this->teamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors(),
|
||||
$this->teamDifferencesComparisonLayer->getLocalFactors()
|
||||
);
|
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}
|
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|
||||
public function buildLayer(): void
|
||||
{
|
||||
$inputVariablesGroups = $this->getInputVariablesGroups();
|
||||
$this->TeamPerformancesToTeamPerformanceDifferencesLayer->setInputVariablesGroups($inputVariablesGroups);
|
||||
$this->TeamPerformancesToTeamPerformanceDifferencesLayer->buildLayer();
|
||||
$this->teamPerformancesToTeamPerformanceDifferencesLayer->setInputVariablesGroups($inputVariablesGroups);
|
||||
$this->teamPerformancesToTeamPerformanceDifferencesLayer->buildLayer();
|
||||
|
||||
$teamDifferencesOutputVariablesGroups = $this->TeamPerformancesToTeamPerformanceDifferencesLayer->getOutputVariablesGroups();
|
||||
$this->TeamDifferencesComparisonLayer->setInputVariablesGroups($teamDifferencesOutputVariablesGroups);
|
||||
$this->TeamDifferencesComparisonLayer->buildLayer();
|
||||
$teamDifferencesOutputVariablesGroups = $this->teamPerformancesToTeamPerformanceDifferencesLayer->getOutputVariablesGroups();
|
||||
$this->teamDifferencesComparisonLayer->setInputVariablesGroups($teamDifferencesOutputVariablesGroups);
|
||||
$this->teamDifferencesComparisonLayer->buildLayer();
|
||||
}
|
||||
|
||||
public function createPriorSchedule(): ?ScheduleSequence
|
||||
@ -56,9 +56,9 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
}
|
||||
|
||||
// When dealing with differences, there are always (n-1) differences, so add in the 1
|
||||
$totalTeamDifferences = count($this->TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors());
|
||||
$totalTeamDifferences = count($this->teamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors());
|
||||
|
||||
$localFactors = $this->TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
$localFactors = $this->teamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
|
||||
$firstDifferencesFactor = $localFactors[0];
|
||||
$lastDifferencesFactor = $localFactors[$totalTeamDifferences - 1];
|
||||
@ -83,8 +83,8 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
private function createTwoTeamInnerPriorLoopSchedule(): ScheduleSequence
|
||||
{
|
||||
$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
$teamDifferencesComparisonLayerLocalFactors = $this->TeamDifferencesComparisonLayer->getLocalFactors();
|
||||
$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->teamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
$teamDifferencesComparisonLayerLocalFactors = $this->teamDifferencesComparisonLayer->getLocalFactors();
|
||||
|
||||
$firstPerfToTeamDiff = $teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors[0];
|
||||
$firstTeamDiffComparison = $teamDifferencesComparisonLayerLocalFactors[0];
|
||||
@ -109,13 +109,13 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
private function createMultipleTeamInnerPriorLoopSchedule(): ScheduleLoop
|
||||
{
|
||||
$totalTeamDifferences = count($this->TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors());
|
||||
$totalTeamDifferences = count($this->teamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors());
|
||||
|
||||
$forwardScheduleList = [];
|
||||
|
||||
for ($i = 0; $i < $totalTeamDifferences - 1; ++$i) {
|
||||
$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
$teamDifferencesComparisonLayerLocalFactors = $this->TeamDifferencesComparisonLayer->getLocalFactors();
|
||||
$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->teamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
$teamDifferencesComparisonLayerLocalFactors = $this->teamDifferencesComparisonLayer->getLocalFactors();
|
||||
|
||||
$currentTeamPerfToTeamPerfDiff = $teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors[$i];
|
||||
$currentTeamDiffComparison = $teamDifferencesComparisonLayerLocalFactors[$i];
|
||||
@ -151,8 +151,8 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
$backwardScheduleList = [];
|
||||
|
||||
for ($i = 0; $i < $totalTeamDifferences - 1; ++$i) {
|
||||
$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
$teamDifferencesComparisonLayerLocalFactors = $this->TeamDifferencesComparisonLayer->getLocalFactors();
|
||||
$teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors = $this->teamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
$teamDifferencesComparisonLayerLocalFactors = $this->teamDifferencesComparisonLayer->getLocalFactors();
|
||||
|
||||
$differencesFactor = $teamPerformancesToTeamPerformanceDifferencesLayerLocalFactors[$totalTeamDifferences - 1 - $i];
|
||||
$comparisonFactor = $teamDifferencesComparisonLayerLocalFactors[$totalTeamDifferences - 1 - $i];
|
||||
|
@ -27,8 +27,8 @@ class PlayerPerformancesToTeamPerformancesLayer extends TrueSkillFactorGraphLaye
|
||||
$this->addLayerFactor($newSumFactor);
|
||||
|
||||
// REVIEW: Does it make sense to have groups of one?
|
||||
$outputVariablesGroups = &$this->getOutputVariablesGroups();
|
||||
$outputVariablesGroups[] = [$teamPerformance];
|
||||
$outputVarGroups = &$this->getOutputVariablesGroups();
|
||||
$outputVarGroups[] = [$teamPerformance];
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -34,12 +34,12 @@ class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
|
||||
$localCurrentTeam = $currentTeam;
|
||||
$currentTeamSkills = [];
|
||||
|
||||
$currentTeamAllPlayers = $localCurrentTeam->getAllPlayers();
|
||||
foreach ($currentTeamAllPlayers as $currentTeamPlayer) {
|
||||
$localCurrentTeamPlayer = $currentTeamPlayer;
|
||||
$currentTeamPlayerRating = $currentTeam->getRating($localCurrentTeamPlayer);
|
||||
$playerSkill = $this->createSkillOutputVariable($localCurrentTeamPlayer);
|
||||
$priorFactor = $this->createPriorFactor($currentTeamPlayerRating, $playerSkill);
|
||||
$curTeamAllPlayers = $localCurrentTeam->getAllPlayers();
|
||||
foreach ($curTeamAllPlayers as $curTeamPlayer) {
|
||||
$localCurTeamPlayer = $curTeamPlayer;
|
||||
$curTeamPlayerRating = $currentTeam->getRating($localCurTeamPlayer);
|
||||
$playerSkill = $this->createSkillOutputVariable($localCurTeamPlayer);
|
||||
$priorFactor = $this->createPriorFactor($curTeamPlayerRating, $playerSkill);
|
||||
$this->addLayerFactor($priorFactor);
|
||||
$currentTeamSkills[] = $playerSkill;
|
||||
}
|
||||
|
@ -15,25 +15,25 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
public function buildLayer(): void
|
||||
{
|
||||
$inputVariablesGroups = $this->getInputVariablesGroups();
|
||||
$outputVariablesGroups = &$this->getOutputVariablesGroups();
|
||||
$inputVarGroups = $this->getInputVariablesGroups();
|
||||
$outputVarGroups = &$this->getOutputVariablesGroups();
|
||||
|
||||
foreach ($inputVariablesGroups as $currentTeam) {
|
||||
foreach ($inputVarGroups as $currentTeam) {
|
||||
$currentTeamPlayerPerformances = [];
|
||||
|
||||
/**
|
||||
* @var Variable $playerSkillVariable
|
||||
* @var Variable $playerSkillVar
|
||||
*/
|
||||
foreach ($currentTeam as $playerSkillVariable) {
|
||||
$localPlayerSkillVariable = $playerSkillVariable;
|
||||
$currentPlayer = ($localPlayerSkillVariable instanceof KeyedVariable) ? $localPlayerSkillVariable->getKey() : "";
|
||||
foreach ($currentTeam as $playerSkillVar) {
|
||||
$localPlayerSkillVar = $playerSkillVar;
|
||||
$currentPlayer = ($localPlayerSkillVar instanceof KeyedVariable) ? $localPlayerSkillVar->getKey() : "";
|
||||
$playerPerformance = $this->createOutputVariable($currentPlayer);
|
||||
$newLikelihoodFactor = $this->createLikelihood($localPlayerSkillVariable, $playerPerformance);
|
||||
$newLikelihoodFactor = $this->createLikelihood($localPlayerSkillVar, $playerPerformance);
|
||||
$this->addLayerFactor($newLikelihoodFactor);
|
||||
$currentTeamPlayerPerformances[] = $playerPerformance;
|
||||
}
|
||||
|
||||
$outputVariablesGroups[] = $currentTeamPlayerPerformances;
|
||||
$outputVarGroups[] = $currentTeamPlayerPerformances;
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -118,9 +118,9 @@ class TrueSkillFactorGraph extends FactorGraph
|
||||
$allLayersReverse = array_reverse($this->layers);
|
||||
|
||||
foreach ($allLayersReverse as $currentLayer) {
|
||||
$currentPosteriorSchedule = $currentLayer->createPosteriorSchedule();
|
||||
if ($currentPosteriorSchedule != NULL) {
|
||||
$fullSchedule[] = $currentPosteriorSchedule;
|
||||
$curPosteriorSchedule = $currentLayer->createPosteriorSchedule();
|
||||
if ($curPosteriorSchedule != NULL) {
|
||||
$fullSchedule[] = $curPosteriorSchedule;
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -102,33 +102,33 @@ class TruncatedGaussianCorrectionFunctions
|
||||
}
|
||||
|
||||
// the multiplicative correction of a double-sided truncated Gaussian with unit variance
|
||||
public static function wWithinMarginScaled(float $teamPerformanceDifference, float $drawMargin, float $c): float
|
||||
public static function wWithinMarginScaled(float $teamPerformanceDiff, float $drawMargin, float $c): float
|
||||
{
|
||||
return self::wWithinMargin($teamPerformanceDifference / $c, $drawMargin / $c);
|
||||
return self::wWithinMargin($teamPerformanceDiff / $c, $drawMargin / $c);
|
||||
}
|
||||
|
||||
// From F#:
|
||||
public static function wWithinMargin(float $teamPerformanceDifference, float $drawMargin): float
|
||||
public static function wWithinMargin(float $teamPerformanceDiff, float $drawMargin): float
|
||||
{
|
||||
$teamPerformanceDifferenceAbsoluteValue = abs($teamPerformanceDifference);
|
||||
$denominator = GaussianDistribution::cumulativeTo($drawMargin - $teamPerformanceDifferenceAbsoluteValue)
|
||||
$teamPerformanceDiffAbsValue = abs($teamPerformanceDiff);
|
||||
$denominator = GaussianDistribution::cumulativeTo($drawMargin - $teamPerformanceDiffAbsValue)
|
||||
-
|
||||
GaussianDistribution::cumulativeTo(-$drawMargin - $teamPerformanceDifferenceAbsoluteValue);
|
||||
GaussianDistribution::cumulativeTo(-$drawMargin - $teamPerformanceDiffAbsValue);
|
||||
|
||||
if ($denominator < 2.222758749e-162) {
|
||||
return 1.0;
|
||||
}
|
||||
|
||||
$vt = self::vWithinMargin($teamPerformanceDifferenceAbsoluteValue, $drawMargin);
|
||||
$vt = self::vWithinMargin($teamPerformanceDiffAbsValue, $drawMargin);
|
||||
|
||||
return $vt * $vt +
|
||||
(($drawMargin - $teamPerformanceDifferenceAbsoluteValue)
|
||||
(($drawMargin - $teamPerformanceDiffAbsValue)
|
||||
*
|
||||
GaussianDistribution::at(
|
||||
$drawMargin - $teamPerformanceDifferenceAbsoluteValue
|
||||
$drawMargin - $teamPerformanceDiffAbsValue
|
||||
)
|
||||
- (-$drawMargin - $teamPerformanceDifferenceAbsoluteValue)
|
||||
- (-$drawMargin - $teamPerformanceDiffAbsValue)
|
||||
*
|
||||
GaussianDistribution::at(-$drawMargin - $teamPerformanceDifferenceAbsoluteValue)) / $denominator;
|
||||
GaussianDistribution::at(-$drawMargin - $teamPerformanceDiffAbsValue)) / $denominator;
|
||||
}
|
||||
}
|
||||
|
@ -125,9 +125,9 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
|
||||
}
|
||||
|
||||
$selfTeamAllPlayers = $selfTeam->getAllPlayers();
|
||||
foreach ($selfTeamAllPlayers as $selfTeamCurrentPlayer) {
|
||||
$localSelfTeamCurrentPlayer = $selfTeamCurrentPlayer;
|
||||
$previousPlayerRating = $selfTeam->getRating($localSelfTeamCurrentPlayer);
|
||||
foreach ($selfTeamAllPlayers as $selfTeamCurPlayer) {
|
||||
$localSelfTeamCurPlayer = $selfTeamCurPlayer;
|
||||
$previousPlayerRating = $selfTeam->getRating($localSelfTeamCurPlayer);
|
||||
|
||||
$meanMultiplier = (BasicMath::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) / $c;
|
||||
$stdDevMultiplier = (BasicMath::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) / BasicMath::square($c);
|
||||
@ -139,7 +139,7 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
|
||||
(BasicMath::square($previousPlayerRating->getStandardDeviation()) + $tauSquared) * (1 - $w * $stdDevMultiplier)
|
||||
);
|
||||
|
||||
$newPlayerRatings->setRating($localSelfTeamCurrentPlayer, new Rating($newMean, $newStdDev));
|
||||
$newPlayerRatings->setRating($localSelfTeamCurPlayer, new Rating($newMean, $newStdDev));
|
||||
}
|
||||
}
|
||||
|
||||
|
Reference in New Issue
Block a user