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@ -17,7 +17,7 @@ class DefaultVariable extends Variable
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return null;
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}
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public function setValue($value)
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public function setValue($value): never
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{
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throw new Exception();
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}
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@ -6,15 +6,15 @@ use DNW\Skills\Guard;
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use DNW\Skills\HashMap;
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use Exception;
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abstract class Factor
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abstract class Factor implements \Stringable
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{
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private $_messages = [];
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private array $_messages = [];
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private $_messageToVariableBinding;
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private $_name;
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private $_variables = [];
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private array $_variables = [];
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protected function __construct($name)
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{
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@ -111,7 +111,7 @@ abstract class Factor
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return $message;
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}
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public function __toString()
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public function __toString(): string
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{
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return $this->_name;
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}
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@ -5,17 +5,14 @@ namespace DNW\Skills\FactorGraphs;
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// edit this
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abstract class FactorGraphLayer
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{
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private $_localFactors = [];
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private array $_localFactors = [];
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private $_outputVariablesGroups = [];
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private array $_outputVariablesGroups = [];
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private $_inputVariablesGroups = [];
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private $_parentFactorGraph;
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protected function __construct(FactorGraph $parentGraph)
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protected function __construct(private readonly FactorGraph $_parentFactorGraph)
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{
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$this->_parentFactorGraph = $parentGraph;
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}
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protected function getInputVariablesGroups()
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@ -7,7 +7,7 @@ namespace DNW\Skills\FactorGraphs;
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*/
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class FactorList
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{
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private $_list = [];
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private array $_list = [];
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public function getLogNormalization()
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{
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@ -33,7 +33,7 @@ class FactorList
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$sumLogS = 0;
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foreach ($list as &$currentFactor) {
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$sumLogS = $sumLogS + $currentFactor->getLogNormalization();
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$sumLogS += $currentFactor->getLogNormalization();
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}
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return $sumLogZ + $sumLogS;
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@ -4,12 +4,9 @@ namespace DNW\Skills\FactorGraphs;
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class KeyedVariable extends Variable
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{
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private $_key;
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public function __construct($key, $name, $prior)
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public function __construct(private $_key, $name, $prior)
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{
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parent::__construct($name, $prior);
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$this->_key = $key;
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}
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public function getKey()
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@ -2,16 +2,10 @@
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namespace DNW\Skills\FactorGraphs;
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class Message
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class Message implements \Stringable
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{
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private $_name;
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private $_value;
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public function __construct($value = null, $name = null)
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public function __construct(private $_value = null, private $_name = null)
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{
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$this->_name = $name;
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$this->_value = $value;
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}
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public function getValue()
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@ -24,7 +18,7 @@ class Message
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$this->_value = $value;
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}
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public function __toString()
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public function __toString(): string
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{
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return (string) $this->_name;
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}
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@ -2,19 +2,16 @@
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namespace DNW\Skills\FactorGraphs;
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abstract class Schedule
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abstract class Schedule implements \Stringable
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{
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private $_name;
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protected function __construct($name)
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protected function __construct(private $_name)
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{
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$this->_name = $name;
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}
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abstract public function visit($depth = -1, $maxDepth = 0);
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public function __toString()
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public function __toString(): string
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{
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return $this->_name;
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return (string) $this->_name;
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}
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}
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@ -4,15 +4,9 @@ namespace DNW\Skills\FactorGraphs;
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class ScheduleLoop extends Schedule
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{
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private $_maxDelta;
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private $_scheduleToLoop;
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public function __construct($name, Schedule $scheduleToLoop, $maxDelta)
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public function __construct($name, private readonly Schedule $_scheduleToLoop, private $_maxDelta)
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{
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parent::__construct($name);
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$this->_scheduleToLoop = $scheduleToLoop;
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$this->_maxDelta = $maxDelta;
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}
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public function visit($depth = -1, $maxDepth = 0)
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@ -4,12 +4,9 @@ namespace DNW\Skills\FactorGraphs;
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class ScheduleSequence extends Schedule
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{
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private $_schedules;
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public function __construct($name, array $schedules)
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public function __construct($name, private readonly array $_schedules)
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{
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parent::__construct($name);
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$this->_schedules = $schedules;
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}
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public function visit($depth = -1, $maxDepth = 0)
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@ -4,22 +4,15 @@ namespace DNW\Skills\FactorGraphs;
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class ScheduleStep extends Schedule
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{
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private $_factor;
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private $_index;
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public function __construct($name, Factor $factor, $index)
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public function __construct($name, private readonly Factor $_factor, private $_index)
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{
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parent::__construct($name);
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$this->_factor = $factor;
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$this->_index = $index;
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}
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public function visit($depth = -1, $maxDepth = 0)
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{
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$currentFactor = $this->_factor;
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$delta = $currentFactor->updateMessageIndex($this->_index);
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return $delta;
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return $currentFactor->updateMessageIndex($this->_index);
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}
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}
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@ -2,18 +2,15 @@
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namespace DNW\Skills\FactorGraphs;
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class Variable
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class Variable implements \Stringable
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{
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private $_name;
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private $_prior;
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private $_value;
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public function __construct($name, $prior)
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public function __construct($name, private $_prior)
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{
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$this->_name = 'Variable['.$name.']';
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$this->_prior = $prior;
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$this->resetToPrior();
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}
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@ -32,7 +29,7 @@ class Variable
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$this->_value = $this->_prior;
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}
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public function __toString()
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public function __toString(): string
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{
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return $this->_name;
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}
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@ -4,27 +4,21 @@ namespace DNW\Skills\FactorGraphs;
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class VariableFactory
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{
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// using a Func<TValue> to encourage fresh copies in case it's overwritten
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private $_variablePriorInitializer;
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public function __construct($variablePriorInitializer)
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public function __construct(private $_variablePriorInitializer)
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{
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$this->_variablePriorInitializer = $variablePriorInitializer;
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}
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public function createBasicVariable($name)
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{
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$initializer = $this->_variablePriorInitializer;
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$newVar = new Variable($name, $initializer());
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return $newVar;
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return new Variable($name, $initializer());
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}
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public function createKeyedVariable($key, $name)
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{
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$initializer = $this->_variablePriorInitializer;
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$newVar = new KeyedVariable($key, $name, $initializer());
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return $newVar;
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return new KeyedVariable($key, $name, $initializer());
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}
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}
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@ -7,37 +7,18 @@ namespace DNW\Skills;
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*/
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class GameInfo
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{
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const DEFAULT_BETA = 4.1666666666666666666666666666667; // Default initial mean / 6
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final const DEFAULT_BETA = 4.1666666666666666666666666666667; // Default initial mean / 6
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const DEFAULT_DRAW_PROBABILITY = 0.10;
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final const DEFAULT_DRAW_PROBABILITY = 0.10;
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const DEFAULT_DYNAMICS_FACTOR = 0.083333333333333333333333333333333; // Default initial mean / 300
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final const DEFAULT_DYNAMICS_FACTOR = 0.083333333333333333333333333333333; // Default initial mean / 300
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const DEFAULT_INITIAL_MEAN = 25.0;
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final const DEFAULT_INITIAL_MEAN = 25.0;
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const DEFAULT_INITIAL_STANDARD_DEVIATION = 8.3333333333333333333333333333333; // Default initial mean / 3
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final const DEFAULT_INITIAL_STANDARD_DEVIATION = 8.3333333333333333333333333333333;
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private $_initialMean;
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private $_initialStandardDeviation;
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private $_beta;
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private $_dynamicsFactor;
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private $_drawProbability;
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public function __construct($initialMean = self::DEFAULT_INITIAL_MEAN,
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$initialStandardDeviation = self::DEFAULT_INITIAL_STANDARD_DEVIATION,
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$beta = self::DEFAULT_BETA,
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$dynamicsFactor = self::DEFAULT_DYNAMICS_FACTOR,
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$drawProbability = self::DEFAULT_DRAW_PROBABILITY)
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public function __construct(private $_initialMean = self::DEFAULT_INITIAL_MEAN, private $_initialStandardDeviation = self::DEFAULT_INITIAL_STANDARD_DEVIATION, private $_beta = self::DEFAULT_BETA, private $_dynamicsFactor = self::DEFAULT_DYNAMICS_FACTOR, private $_drawProbability = self::DEFAULT_DRAW_PROBABILITY)
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{
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$this->_initialMean = $initialMean;
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$this->_initialStandardDeviation = $initialStandardDeviation;
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$this->_beta = $beta;
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$this->_dynamicsFactor = $dynamicsFactor;
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$this->_drawProbability = $drawProbability;
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}
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public function getInitialMean()
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@ -7,16 +7,15 @@ namespace DNW\Skills;
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*/
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class HashMap
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{
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private $_hashToValue = [];
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private array $_hashToValue = [];
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private $_hashToKey = [];
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private array $_hashToKey = [];
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public function getValue($key)
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{
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$hash = self::getHash($key);
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$hashValue = $this->_hashToValue[$hash];
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return $hashValue;
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return $this->_hashToValue[$hash];
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}
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public function setValue($key, $value)
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@ -30,16 +29,12 @@ class HashMap
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public function getAllKeys()
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{
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$keys = array_values($this->_hashToKey);
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return $keys;
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return array_values($this->_hashToKey);
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}
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public function getAllValues()
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{
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$values = array_values($this->_hashToValue);
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return $values;
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return array_values($this->_hashToValue);
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}
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public function count()
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|
@ -14,7 +14,7 @@ class DiagonalMatrix extends Matrix
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for ($currentRow = 0; $currentRow < $rowCount; $currentRow++) {
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for ($currentCol = 0; $currentCol < $colCount; $currentCol++) {
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if ($currentRow == $currentCol) {
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if ($currentRow === $currentCol) {
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$this->setValue($currentRow, $currentCol, $diagonalValues[$currentRow]);
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} else {
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$this->setValue($currentRow, $currentCol, 0);
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|
@ -8,12 +8,8 @@ namespace DNW\Skills\Numerics;
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* @author Jeff Moser <jeff@moserware.com>
|
||||
* @copyright 2010 Jeff Moser
|
||||
*/
|
||||
class GaussianDistribution
|
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class GaussianDistribution implements \Stringable
|
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{
|
||||
private $_mean;
|
||||
|
||||
private $_standardDeviation;
|
||||
|
||||
// precision and precisionMean are used because they make multiplying and dividing simpler
|
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// (the the accompanying math paper for more details)
|
||||
private $_precision;
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@ -22,11 +18,9 @@ class GaussianDistribution
|
||||
|
||||
private $_variance;
|
||||
|
||||
public function __construct($mean = 0.0, $standardDeviation = 1.0)
|
||||
public function __construct(private $_mean = 0.0, private $_standardDeviation = 1.0)
|
||||
{
|
||||
$this->_mean = $mean;
|
||||
$this->_standardDeviation = $standardDeviation;
|
||||
$this->_variance = BasicMath::square($standardDeviation);
|
||||
$this->_variance = BasicMath::square($_standardDeviation);
|
||||
|
||||
if ($this->_variance != 0) {
|
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$this->_precision = 1.0 / $this->_variance;
|
||||
@ -34,11 +28,7 @@ class GaussianDistribution
|
||||
} else {
|
||||
$this->_precision = \INF;
|
||||
|
||||
if ($this->_mean == 0) {
|
||||
$this->_precisionMean = 0;
|
||||
} else {
|
||||
$this->_precisionMean = \INF;
|
||||
}
|
||||
$this->_precisionMean = $this->_mean == 0 ? 0 : \INF;
|
||||
}
|
||||
}
|
||||
|
||||
@ -172,9 +162,8 @@ class GaussianDistribution
|
||||
|
||||
$multiplier = 1.0 / ($standardDeviation * sqrt(2 * M_PI));
|
||||
$expPart = exp((-1.0 * BasicMath::square($x - $mean)) / (2 * BasicMath::square($standardDeviation)));
|
||||
$result = $multiplier * $expPart;
|
||||
|
||||
return $result;
|
||||
return $multiplier * $expPart;
|
||||
}
|
||||
|
||||
public static function cumulativeTo($x, $mean = 0.0, $standardDeviation = 1.0)
|
||||
@ -267,7 +256,7 @@ class GaussianDistribution
|
||||
return $mean - sqrt(2) * $standardDeviation * GaussianDistribution::inverseErrorFunctionCumulativeTo(2 * $x);
|
||||
}
|
||||
|
||||
public function __toString()
|
||||
public function __toString(): string
|
||||
{
|
||||
return sprintf('mean=%.4f standardDeviation=%.4f', $this->_mean, $this->_standardDeviation);
|
||||
}
|
||||
|
@ -6,19 +6,10 @@ use Exception;
|
||||
|
||||
class Matrix
|
||||
{
|
||||
const ERROR_TOLERANCE = 0.0000000001;
|
||||
public const ERROR_TOLERANCE = 0.0000000001;
|
||||
|
||||
private $_matrixRowData;
|
||||
|
||||
private $_rowCount;
|
||||
|
||||
private $_columnCount;
|
||||
|
||||
public function __construct($rows = 0, $columns = 0, $matrixData = null)
|
||||
public function __construct(private $_rowCount = 0, private $_columnCount = 0, private $_matrixRowData = null)
|
||||
{
|
||||
$this->_rowCount = $rows;
|
||||
$this->_columnCount = $columns;
|
||||
$this->_matrixRowData = $matrixData;
|
||||
}
|
||||
|
||||
public static function fromColumnValues($rows, $columns, $columnValues)
|
||||
@ -37,9 +28,8 @@ class Matrix
|
||||
return $result;
|
||||
}
|
||||
|
||||
public static function fromRowsColumns()
|
||||
public static function fromRowsColumns(...$args)
|
||||
{
|
||||
$args = \func_get_args();
|
||||
$rows = $args[0];
|
||||
$cols = $args[1];
|
||||
$result = new Matrix($rows, $cols);
|
||||
@ -138,7 +128,7 @@ class Matrix
|
||||
$firstRowColValue = $this->_matrixRowData[0][$currentColumn];
|
||||
$cofactor = $this->getCofactor(0, $currentColumn);
|
||||
$itemToAdd = $firstRowColValue * $cofactor;
|
||||
$result = $result + $itemToAdd;
|
||||
$result += $itemToAdd;
|
||||
}
|
||||
|
||||
return $result;
|
||||
@ -258,7 +248,7 @@ class Matrix
|
||||
$leftValue = $left->getValue($currentRow, $vectorIndex);
|
||||
$rightValue = $right->getValue($vectorIndex, $currentColumn);
|
||||
$vectorIndexProduct = $leftValue * $rightValue;
|
||||
$productValue = $productValue + $vectorIndexProduct;
|
||||
$productValue += $vectorIndexProduct;
|
||||
}
|
||||
|
||||
$resultMatrix[$currentRow][$currentColumn] = $productValue;
|
||||
|
@ -4,9 +4,8 @@ namespace DNW\Skills\Numerics;
|
||||
|
||||
class SquareMatrix extends Matrix
|
||||
{
|
||||
public function __construct()
|
||||
public function __construct(...$allValues)
|
||||
{
|
||||
$allValues = func_get_args();
|
||||
$rows = (int) sqrt(count($allValues));
|
||||
$cols = $rows;
|
||||
|
||||
|
@ -9,21 +9,18 @@ namespace DNW\Skills;
|
||||
*/
|
||||
class PairwiseComparison
|
||||
{
|
||||
const WIN = 1;
|
||||
final const WIN = 1;
|
||||
|
||||
const DRAW = 0;
|
||||
final const DRAW = 0;
|
||||
|
||||
const LOSE = -1;
|
||||
final const LOSE = -1;
|
||||
|
||||
public static function getRankFromComparison($comparison)
|
||||
{
|
||||
switch ($comparison) {
|
||||
case PairwiseComparison::WIN:
|
||||
return [1, 2];
|
||||
case PairwiseComparison::LOSE:
|
||||
return [2, 1];
|
||||
default:
|
||||
return [1, 1];
|
||||
}
|
||||
return match ($comparison) {
|
||||
PairwiseComparison::WIN => [1, 2],
|
||||
PairwiseComparison::LOSE => [2, 1],
|
||||
default => [1, 1],
|
||||
};
|
||||
}
|
||||
}
|
||||
|
@ -5,13 +5,11 @@ namespace DNW\Skills;
|
||||
/**
|
||||
* Represents a player who has a Rating.
|
||||
*/
|
||||
class Player implements ISupportPartialPlay, ISupportPartialUpdate
|
||||
class Player implements ISupportPartialPlay, ISupportPartialUpdate, \Stringable
|
||||
{
|
||||
const DEFAULT_PARTIAL_PLAY_PERCENTAGE = 1.0; // = 100% play time
|
||||
final const DEFAULT_PARTIAL_PLAY_PERCENTAGE = 1.0; // = 100% play time
|
||||
|
||||
const DEFAULT_PARTIAL_UPDATE_PERCENTAGE = 1.0; // = receive 100% update
|
||||
|
||||
private $_Id;
|
||||
final const DEFAULT_PARTIAL_UPDATE_PERCENTAGE = 1.0;
|
||||
|
||||
private $_PartialPlayPercentage;
|
||||
|
||||
@ -20,18 +18,17 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
|
||||
/**
|
||||
* Constructs a player.
|
||||
*
|
||||
* @param mixed $id The identifier for the player, such as a name.
|
||||
* @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 $partialUpdatePercentage Indicated how much of a skill update a player should receive where 0 represents no update and 1.0 represents 100% of the update.
|
||||
*/
|
||||
public function __construct($id,
|
||||
public function __construct(private $_Id,
|
||||
$partialPlayPercentage = self::DEFAULT_PARTIAL_PLAY_PERCENTAGE,
|
||||
$partialUpdatePercentage = self::DEFAULT_PARTIAL_UPDATE_PERCENTAGE)
|
||||
{
|
||||
// If they don't want to give a player an id, that's ok...
|
||||
Guard::argumentInRangeInclusive($partialPlayPercentage, 0.0, 1.0, 'partialPlayPercentage');
|
||||
Guard::argumentInRangeInclusive($partialUpdatePercentage, 0, 1.0, 'partialUpdatePercentage');
|
||||
$this->_Id = $id;
|
||||
$this->_PartialPlayPercentage = $partialPlayPercentage;
|
||||
$this->_PartialUpdatePercentage = $partialUpdatePercentage;
|
||||
}
|
||||
@ -60,7 +57,7 @@ class Player implements ISupportPartialPlay, ISupportPartialUpdate
|
||||
return $this->_PartialUpdatePercentage;
|
||||
}
|
||||
|
||||
public function __toString()
|
||||
public function __toString(): string
|
||||
{
|
||||
return (string) $this->_Id;
|
||||
}
|
||||
|
@ -6,11 +6,6 @@ use DNW\Skills\Numerics\Range;
|
||||
|
||||
class PlayersRange extends Range
|
||||
{
|
||||
public function __construct($min, $max)
|
||||
{
|
||||
parent::__construct($min, $max);
|
||||
}
|
||||
|
||||
protected static function create($min, $max)
|
||||
{
|
||||
return new PlayersRange($min, $max);
|
||||
|
@ -5,28 +5,19 @@ namespace DNW\Skills;
|
||||
// Container for a player's rating.
|
||||
use DNW\Skills\Numerics\GaussianDistribution;
|
||||
|
||||
class Rating
|
||||
class Rating implements \Stringable
|
||||
{
|
||||
const CONSERVATIVE_STANDARD_DEVIATION_MULTIPLIER = 3;
|
||||
|
||||
private $_conservativeStandardDeviationMultiplier;
|
||||
|
||||
private $_mean;
|
||||
|
||||
private $_standardDeviation;
|
||||
final const CONSERVATIVE_STANDARD_DEVIATION_MULTIPLIER = 3;
|
||||
|
||||
/**
|
||||
* Constructs a rating.
|
||||
*
|
||||
* @param float $mean The statistical mean value of the rating (also known as mu).
|
||||
* @param float $standardDeviation The standard deviation of the rating (also known as s).
|
||||
* @param float|int $conservativeStandardDeviationMultiplier optional The number of standardDeviations to subtract from the mean to achieve a conservative rating.
|
||||
* @param float $_mean The statistical mean value of the rating (also known as mu).
|
||||
* @param float $_standardDeviation The standard deviation of the rating (also known as s).
|
||||
* @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)
|
||||
public function __construct(private $_mean, private $_standardDeviation, private $_conservativeStandardDeviationMultiplier = self::CONSERVATIVE_STANDARD_DEVIATION_MULTIPLIER)
|
||||
{
|
||||
$this->_mean = $mean;
|
||||
$this->_standardDeviation = $standardDeviation;
|
||||
$this->_conservativeStandardDeviationMultiplier = $conservativeStandardDeviationMultiplier;
|
||||
}
|
||||
|
||||
/**
|
||||
@ -76,7 +67,7 @@ class Rating
|
||||
return new Rating($partialPosteriorGaussion->getMean(), $partialPosteriorGaussion->getStandardDeviation(), $prior->_conservativeStandardDeviationMultiplier);
|
||||
}
|
||||
|
||||
public function __toString()
|
||||
public function __toString(): string
|
||||
{
|
||||
return sprintf('mean=%.4f, standardDeviation=%.4f', $this->_mean, $this->_standardDeviation);
|
||||
}
|
||||
|
@ -9,17 +9,8 @@ use Exception;
|
||||
*/
|
||||
abstract class SkillCalculator
|
||||
{
|
||||
private $_supportedOptions;
|
||||
|
||||
private $_playersPerTeamAllowed;
|
||||
|
||||
private $_totalTeamsAllowed;
|
||||
|
||||
protected function __construct($supportedOptions, TeamsRange $totalTeamsAllowed, PlayersRange $playerPerTeamAllowed)
|
||||
protected function __construct(private $_supportedOptions, private readonly TeamsRange $_totalTeamsAllowed, private readonly PlayersRange $_playersPerTeamAllowed)
|
||||
{
|
||||
$this->_supportedOptions = $supportedOptions;
|
||||
$this->_totalTeamsAllowed = $totalTeamsAllowed;
|
||||
$this->_playersPerTeamAllowed = $playerPerTeamAllowed;
|
||||
}
|
||||
|
||||
/**
|
||||
@ -55,8 +46,6 @@ abstract class SkillCalculator
|
||||
|
||||
/**
|
||||
* @param array<\DNW\Skills\Team> $teams
|
||||
* @param \DNW\Skills\TeamsRange $totalTeams
|
||||
* @param \DNW\Skills\PlayersRange $playersPerTeam
|
||||
* @return void
|
||||
* @throws \Exception
|
||||
*/
|
||||
@ -79,9 +68,9 @@ abstract class SkillCalculator
|
||||
|
||||
class SkillCalculatorSupportedOptions
|
||||
{
|
||||
const NONE = 0x00;
|
||||
final const NONE = 0x00;
|
||||
|
||||
const PARTIAL_PLAY = 0x01;
|
||||
final const PARTIAL_PLAY = 0x01;
|
||||
|
||||
const PARTIAL_UPDATE = 0x02;
|
||||
final const PARTIAL_UPDATE = 0x02;
|
||||
}
|
||||
|
@ -4,9 +4,8 @@ namespace DNW\Skills;
|
||||
|
||||
class Teams
|
||||
{
|
||||
public static function concat(/*variable arguments*/)
|
||||
public static function concat(...$args/*variable arguments*/)
|
||||
{
|
||||
$args = func_get_args();
|
||||
$result = [];
|
||||
|
||||
foreach ($args as $currentTeam) {
|
||||
|
@ -6,11 +6,6 @@ use DNW\Skills\Numerics\Range;
|
||||
|
||||
class TeamsRange extends Range
|
||||
{
|
||||
public function __construct($min, $max)
|
||||
{
|
||||
parent::__construct($min, $max);
|
||||
}
|
||||
|
||||
protected static function create($min, $max)
|
||||
{
|
||||
return new TeamsRange($min, $max);
|
||||
|
@ -38,7 +38,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
|
||||
$factorGraph->buildGraph();
|
||||
$factorGraph->runSchedule();
|
||||
|
||||
$probabilityOfOutcome = $factorGraph->getProbabilityOfRanking();
|
||||
$factorGraph->getProbabilityOfRanking();
|
||||
|
||||
return $factorGraph->getUpdatedRatings();
|
||||
}
|
||||
@ -47,11 +47,11 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
|
||||
{
|
||||
// We need to create the A matrix which is the player team assigments.
|
||||
$teamAssignmentsList = $teams;
|
||||
$skillsMatrix = $this->getPlayerCovarianceMatrix($teamAssignmentsList);
|
||||
$meanVector = $this->getPlayerMeansVector($teamAssignmentsList);
|
||||
$skillsMatrix = self::getPlayerCovarianceMatrix($teamAssignmentsList);
|
||||
$meanVector = self::getPlayerMeansVector($teamAssignmentsList);
|
||||
$meanVectorTranspose = $meanVector->getTranspose();
|
||||
|
||||
$playerTeamAssignmentsMatrix = $this->createPlayerTeamAssignmentMatrix($teamAssignmentsList, $meanVector->getRowCount());
|
||||
$playerTeamAssignmentsMatrix = self::createPlayerTeamAssignmentMatrix($teamAssignmentsList, $meanVector->getRowCount());
|
||||
$playerTeamAssignmentsMatrixTranspose = $playerTeamAssignmentsMatrix->getTranspose();
|
||||
|
||||
$betaSquared = BasicMath::square($gameInfo->getBeta());
|
||||
@ -81,18 +81,14 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
|
||||
$sqrtPartDenominator = $middle->getDeterminant();
|
||||
$sqrtPart = $sqrtPartNumerator / $sqrtPartDenominator;
|
||||
|
||||
$result = exp($expPart) * sqrt($sqrtPart);
|
||||
|
||||
return $result;
|
||||
return exp($expPart) * sqrt($sqrtPart);
|
||||
}
|
||||
|
||||
private static function getPlayerMeansVector(array $teamAssignmentsList)
|
||||
{
|
||||
// A simple vector of all the player means.
|
||||
return new Vector(self::getPlayerRatingValues($teamAssignmentsList,
|
||||
function ($rating) {
|
||||
return $rating->getMean();
|
||||
}));
|
||||
fn($rating) => $rating->getMean()));
|
||||
}
|
||||
|
||||
private static function getPlayerCovarianceMatrix(array $teamAssignmentsList)
|
||||
@ -101,9 +97,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
|
||||
// players.
|
||||
return new DiagonalMatrix(
|
||||
self::getPlayerRatingValues($teamAssignmentsList,
|
||||
function ($rating) {
|
||||
return BasicMath::square($rating->getStandardDeviation());
|
||||
}));
|
||||
fn($rating) => BasicMath::square($rating->getStandardDeviation())));
|
||||
}
|
||||
|
||||
// Helper function that gets a list of values for all player ratings
|
||||
@ -141,7 +135,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
|
||||
$playerAssignments = [];
|
||||
$totalPreviousPlayers = 0;
|
||||
|
||||
$teamAssignmentsListCount = count($teamAssignmentsList);
|
||||
$teamAssignmentsListCount = is_countable($teamAssignmentsList) ? count($teamAssignmentsList) : 0;
|
||||
|
||||
$currentColumn = 0;
|
||||
|
||||
@ -175,8 +169,6 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
|
||||
$currentColumn++;
|
||||
}
|
||||
|
||||
$playerTeamAssignmentsMatrix = Matrix::fromColumnValues($totalPlayers, $teamAssignmentsListCount - 1, $playerAssignments);
|
||||
|
||||
return $playerTeamAssignmentsMatrix;
|
||||
return Matrix::fromColumnValues($totalPlayers, $teamAssignmentsListCount - 1, $playerAssignments);
|
||||
}
|
||||
}
|
||||
|
@ -9,19 +9,10 @@ use DNW\Skills\Numerics\GaussianDistribution;
|
||||
|
||||
abstract class GaussianFactor extends Factor
|
||||
{
|
||||
protected function __construct($name)
|
||||
{
|
||||
parent::__construct($name);
|
||||
}
|
||||
|
||||
/**
|
||||
* 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)
|
||||
protected function sendMessageVariable(Message $message, Variable $variable): float|int
|
||||
{
|
||||
$marginal = $variable->getValue();
|
||||
$messageValue = $message->getValue();
|
||||
@ -34,11 +25,10 @@ abstract class GaussianFactor extends Factor
|
||||
public function createVariableToMessageBinding(Variable $variable)
|
||||
{
|
||||
$newDistribution = GaussianDistribution::fromPrecisionMean(0, 0);
|
||||
$binding = parent::createVariableToMessageBindingWithMessage($variable,
|
||||
|
||||
return parent::createVariableToMessageBindingWithMessage($variable,
|
||||
new Message(
|
||||
$newDistribution,
|
||||
sprintf('message from %s to %s', $this, $variable)));
|
||||
|
||||
return $binding;
|
||||
}
|
||||
}
|
||||
|
@ -71,15 +71,12 @@ class GaussianLikelihoodFactor extends GaussianFactor
|
||||
$messages = $this->getMessages();
|
||||
$vars = $this->getVariables();
|
||||
|
||||
switch ($messageIndex) {
|
||||
case 0:
|
||||
return $this->updateHelper($messages[0], $messages[1],
|
||||
$vars[0], $vars[1]);
|
||||
case 1:
|
||||
return $this->updateHelper($messages[1], $messages[0],
|
||||
$vars[1], $vars[0]);
|
||||
default:
|
||||
throw new Exception();
|
||||
}
|
||||
return match ($messageIndex) {
|
||||
0 => $this->updateHelper($messages[0], $messages[1],
|
||||
$vars[0], $vars[1]),
|
||||
1 => $this->updateHelper($messages[1], $messages[0],
|
||||
$vars[1], $vars[0]),
|
||||
default => throw new Exception(),
|
||||
};
|
||||
}
|
||||
}
|
||||
|
@ -38,5 +38,6 @@ class GaussianPriorFactor extends GaussianFactor
|
||||
$message->setValue($this->_newMessage);
|
||||
|
||||
return GaussianDistribution::subtract($oldMarginal, $newMarginal);
|
||||
|
||||
}
|
||||
}
|
||||
|
@ -15,24 +15,22 @@ use DNW\Skills\Numerics\GaussianDistribution;
|
||||
*/
|
||||
class GaussianWeightedSumFactor extends GaussianFactor
|
||||
{
|
||||
private $_variableIndexOrdersForWeights = [];
|
||||
private array $_variableIndexOrdersForWeights = [];
|
||||
|
||||
// This following is used for convenience, for example, the first entry is [0, 1, 2]
|
||||
// corresponding to v[0] = a1*v[1] + a2*v[2]
|
||||
private $_weights;
|
||||
private array $_weights = [];
|
||||
|
||||
private $_weightsSquared;
|
||||
private array $_weightsSquared = [];
|
||||
|
||||
public function __construct(Variable $sumVariable, array $variablesToSum, array $variableWeights = null)
|
||||
{
|
||||
parent::__construct(self::createName($sumVariable, $variablesToSum, $variableWeights));
|
||||
$this->_weights = [];
|
||||
$this->_weightsSquared = [];
|
||||
|
||||
// The first weights are a straightforward copy
|
||||
// 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);
|
||||
$variableWeightsLength = count((array) $variableWeights);
|
||||
$this->_weights[0] = array_fill(0, count((array) $variableWeights), 0);
|
||||
|
||||
for ($i = 0; $i < $variableWeightsLength; $i++) {
|
||||
$weight = &$variableWeights[$i];
|
||||
@ -48,7 +46,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
$this->_variableIndexOrdersForWeights[0][] = $i;
|
||||
}
|
||||
|
||||
$variableWeightsLength = count($variableWeights);
|
||||
$variableWeightsLength = count((array) $variableWeights);
|
||||
|
||||
// The rest move the variables around and divide out the constant.
|
||||
// For example:
|
||||
@ -71,7 +69,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
for ($currentWeightSourceIndex = 0;
|
||||
$currentWeightSourceIndex < $variableWeightsLength;
|
||||
$currentWeightSourceIndex++) {
|
||||
if ($currentWeightSourceIndex == ($weightsIndex - 1)) {
|
||||
if ($currentWeightSourceIndex === $weightsIndex - 1) {
|
||||
continue;
|
||||
}
|
||||
|
||||
@ -98,7 +96,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
}
|
||||
$currentWeights[$currentDestinationWeightIndex] = $finalWeight;
|
||||
$currentWeightsSquared[$currentDestinationWeightIndex] = BasicMath::square($finalWeight);
|
||||
$variableIndices[count($variableWeights)] = 0;
|
||||
$variableIndices[count((array) $variableWeights)] = 0;
|
||||
$this->_variableIndexOrdersForWeights[] = $variableIndices;
|
||||
|
||||
$this->_weights[$weightsIndex] = $currentWeights;
|
||||
@ -121,7 +119,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
$result = 0.0;
|
||||
|
||||
// We start at 1 since offset 0 has the sum
|
||||
$varCount = count($vars);
|
||||
$varCount = is_countable($vars) ? count($vars) : 0;
|
||||
for ($i = 1; $i < $varCount; $i++) {
|
||||
$result += GaussianDistribution::logRatioNormalization($vars[$i]->getValue(), $messages[$i]->getValue());
|
||||
}
|
||||
@ -167,7 +165,6 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
$anotherNewPrecision = 1.0 / $anotherInverseOfNewPrecisionSum;
|
||||
|
||||
$newPrecisionMean = $newPrecision * $weightedMeanSum;
|
||||
$anotherNewPrecisionMean = $anotherNewPrecision * $anotherWeightedMeanSum;
|
||||
|
||||
$newMessage = GaussianDistribution::fromPrecisionMean($newPrecisionMean, $newPrecision);
|
||||
$oldMarginalWithoutMessage = GaussianDistribution::divide($marginal0, $message0);
|
||||
@ -190,7 +187,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
$allMessages = $this->getMessages();
|
||||
$allVariables = $this->getVariables();
|
||||
|
||||
Guard::argumentIsValidIndex($messageIndex, count($allMessages), 'messageIndex');
|
||||
Guard::argumentIsValidIndex($messageIndex, is_countable($allMessages) ? count($allMessages) : 0, 'messageIndex');
|
||||
|
||||
$updatedMessages = [];
|
||||
$updatedVariables = [];
|
||||
@ -200,7 +197,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
// The tricky part here is that we have to put the messages and variables in the same
|
||||
// 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);
|
||||
$allMessagesCount = is_countable($allMessages) ? count($allMessages) : 0;
|
||||
for ($i = 0; $i < $allMessagesCount; $i++) {
|
||||
$updatedMessages[] = $allMessages[$indicesToUse[$i]];
|
||||
$updatedVariables[] = $allVariables[$indicesToUse[$i]];
|
||||
@ -218,7 +215,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
$result = (string) $sumVariable;
|
||||
$result .= ' = ';
|
||||
|
||||
$totalVars = count($variablesToSum);
|
||||
$totalVars = is_countable($variablesToSum) ? count($variablesToSum) : 0;
|
||||
for ($i = 0; $i < $totalVars; $i++) {
|
||||
$isFirst = ($i == 0);
|
||||
|
||||
@ -232,7 +229,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
|
||||
$result .= (string) $variablesToSum[$i];
|
||||
$result .= ']';
|
||||
|
||||
$isLast = ($i == ($totalVars - 1));
|
||||
$isLast = ($i === $totalVars - 1);
|
||||
|
||||
if (! $isLast) {
|
||||
if ($weights[$i + 1] >= 0) {
|
||||
|
@ -11,26 +11,18 @@ use Exception;
|
||||
// The whole purpose of this is to do a loop on the bottom
|
||||
class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
private $_TeamDifferencesComparisonLayer;
|
||||
|
||||
private $_TeamPerformancesToTeamPerformanceDifferencesLayer;
|
||||
|
||||
public function __construct(TrueSkillFactorGraph $parentGraph,
|
||||
TeamPerformancesToTeamPerformanceDifferencesLayer $teamPerformancesToPerformanceDifferences,
|
||||
TeamDifferencesComparisonLayer $teamDifferencesComparisonLayer)
|
||||
private readonly TeamPerformancesToTeamPerformanceDifferencesLayer $_TeamPerformancesToTeamPerformanceDifferencesLayer,
|
||||
private readonly TeamDifferencesComparisonLayer $_TeamDifferencesComparisonLayer)
|
||||
{
|
||||
parent::__construct($parentGraph);
|
||||
$this->_TeamPerformancesToTeamPerformanceDifferencesLayer = $teamPerformancesToPerformanceDifferences;
|
||||
$this->_TeamDifferencesComparisonLayer = $teamDifferencesComparisonLayer;
|
||||
}
|
||||
|
||||
public function getLocalFactors()
|
||||
{
|
||||
$localFactors = array_merge($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors(),
|
||||
return array_merge($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors(),
|
||||
$this->_TeamDifferencesComparisonLayer->getLocalFactors()
|
||||
);
|
||||
|
||||
return $localFactors;
|
||||
}
|
||||
|
||||
public function buildLayer()
|
||||
@ -46,7 +38,7 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
public function createPriorSchedule()
|
||||
{
|
||||
switch (count($this->getInputVariablesGroups())) {
|
||||
switch (is_countable($this->getInputVariablesGroups()) ? count($this->getInputVariablesGroups()) : 0) {
|
||||
case 0:
|
||||
case 1:
|
||||
throw new Exception('InvalidOperation');
|
||||
@ -59,15 +51,14 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
}
|
||||
|
||||
// When dealing with differences, there are always (n-1) differences, so add in the 1
|
||||
$totalTeamDifferences = count($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors());
|
||||
$totalTeams = $totalTeamDifferences + 1;
|
||||
$totalTeamDifferences = is_countable($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors()) ? count($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors()) : 0;
|
||||
|
||||
$localFactors = $this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors();
|
||||
|
||||
$firstDifferencesFactor = $localFactors[0];
|
||||
$lastDifferencesFactor = $localFactors[$totalTeamDifferences - 1];
|
||||
|
||||
$innerSchedule = new ScheduleSequence(
|
||||
return new ScheduleSequence(
|
||||
'inner schedule',
|
||||
[
|
||||
$loop,
|
||||
@ -79,8 +70,6 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
$lastDifferencesFactor, 2),
|
||||
]
|
||||
);
|
||||
|
||||
return $innerSchedule;
|
||||
}
|
||||
|
||||
private function createTwoTeamInnerPriorLoopSchedule()
|
||||
@ -108,7 +97,7 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
private function createMultipleTeamInnerPriorLoopSchedule()
|
||||
{
|
||||
$totalTeamDifferences = count($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors());
|
||||
$totalTeamDifferences = is_countable($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors()) ? count($this->_TeamPerformancesToTeamPerformanceDifferencesLayer->getLocalFactors()) : 0;
|
||||
|
||||
$forwardScheduleList = [];
|
||||
|
||||
@ -173,11 +162,9 @@ class IteratedTeamDifferencesInnerLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
$initialMaxDelta = 0.0001;
|
||||
|
||||
$loop = new ScheduleLoop(
|
||||
return new ScheduleLoop(
|
||||
sprintf('loop with max delta of %f', $initialMaxDelta),
|
||||
$forwardBackwardScheduleToLoop,
|
||||
$initialMaxDelta);
|
||||
|
||||
return $loop;
|
||||
}
|
||||
}
|
||||
|
@ -9,11 +9,6 @@ use DNW\Skills\TrueSkill\TrueSkillFactorGraph;
|
||||
|
||||
class PlayerPerformancesToTeamPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
public function __construct(TrueSkillFactorGraph $parentGraph)
|
||||
{
|
||||
parent::__construct($parentGraph);
|
||||
}
|
||||
|
||||
public function buildLayer()
|
||||
{
|
||||
$inputVariablesGroups = $this->getInputVariablesGroups();
|
||||
@ -34,15 +29,11 @@ class PlayerPerformancesToTeamPerformancesLayer extends TrueSkillFactorGraphLaye
|
||||
{
|
||||
$localFactors = $this->getLocalFactors();
|
||||
|
||||
$sequence = $this->scheduleSequence(
|
||||
return $this->scheduleSequence(
|
||||
array_map(
|
||||
function ($weightedSumFactor) {
|
||||
return new ScheduleStep('Perf to Team Perf Step', $weightedSumFactor, 0);
|
||||
},
|
||||
fn($weightedSumFactor) => new ScheduleStep('Perf to Team Perf Step', $weightedSumFactor, 0),
|
||||
$localFactors),
|
||||
'all player perf to team perf schedule');
|
||||
|
||||
return $sequence;
|
||||
}
|
||||
|
||||
protected function createPlayerToTeamSumFactor($teamMembers, $sumVariable)
|
||||
@ -79,13 +70,10 @@ class PlayerPerformancesToTeamPerformancesLayer extends TrueSkillFactorGraphLaye
|
||||
|
||||
private function createOutputVariable($team)
|
||||
{
|
||||
$memberNames = array_map(function ($currentPlayer) {
|
||||
return (string) ($currentPlayer->getKey());
|
||||
}, $team);
|
||||
$memberNames = array_map(fn($currentPlayer) => (string) ($currentPlayer->getKey()), $team);
|
||||
|
||||
$teamMemberNames = \implode(', ', $memberNames);
|
||||
$outputVariable = $this->getParentFactorGraph()->getVariableFactory()->createBasicVariable('Team['.$teamMemberNames."]'s performance");
|
||||
|
||||
return $outputVariable;
|
||||
return $this->getParentFactorGraph()->getVariableFactory()->createBasicVariable('Team['.$teamMemberNames."]'s performance");
|
||||
}
|
||||
}
|
||||
|
@ -13,12 +13,9 @@ use DNW\Skills\TrueSkill\TrueSkillFactorGraph;
|
||||
// start the process.
|
||||
class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
private $_teams;
|
||||
|
||||
public function __construct(TrueSkillFactorGraph $parentGraph, array $teams)
|
||||
public function __construct(TrueSkillFactorGraph $parentGraph, private readonly array $_teams)
|
||||
{
|
||||
parent::__construct($parentGraph);
|
||||
$this->_teams = $teams;
|
||||
}
|
||||
|
||||
public function buildLayer()
|
||||
@ -33,7 +30,7 @@ class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
|
||||
$localCurrentTeamPlayer = $currentTeamPlayer;
|
||||
$currentTeamPlayerRating = $currentTeam->getRating($localCurrentTeamPlayer);
|
||||
$playerSkill = $this->createSkillOutputVariable($localCurrentTeamPlayer);
|
||||
$priorFactor = $this->createPriorFactor($localCurrentTeamPlayer, $currentTeamPlayerRating, $playerSkill);
|
||||
$priorFactor = $this->createPriorFactor($currentTeamPlayerRating, $playerSkill);
|
||||
$this->addLayerFactor($priorFactor);
|
||||
$currentTeamSkills[] = $playerSkill;
|
||||
}
|
||||
@ -49,14 +46,12 @@ class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
return $this->scheduleSequence(
|
||||
array_map(
|
||||
function ($prior) {
|
||||
return new ScheduleStep('Prior to Skill Step', $prior, 0);
|
||||
},
|
||||
fn($prior) => new ScheduleStep('Prior to Skill Step', $prior, 0),
|
||||
$localFactors),
|
||||
'All priors');
|
||||
}
|
||||
|
||||
private function createPriorFactor($player, Rating $priorRating, Variable $skillsVariable)
|
||||
private function createPriorFactor(Rating $priorRating, Variable $skillsVariable)
|
||||
{
|
||||
return new GaussianPriorFactor(
|
||||
$priorRating->getMean(),
|
||||
@ -70,8 +65,7 @@ class PlayerPriorValuesToSkillsLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
$parentFactorGraph = $this->getParentFactorGraph();
|
||||
$variableFactory = $parentFactorGraph->getVariableFactory();
|
||||
$skillOutputVariable = $variableFactory->createKeyedVariable($key, $key."'s skill");
|
||||
|
||||
return $skillOutputVariable;
|
||||
return $variableFactory->createKeyedVariable($key, $key."'s skill");
|
||||
}
|
||||
}
|
||||
|
@ -10,11 +10,6 @@ use DNW\Skills\TrueSkill\TrueSkillFactorGraph;
|
||||
|
||||
class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
public function __construct(TrueSkillFactorGraph $parentGraph)
|
||||
{
|
||||
parent::__construct($parentGraph);
|
||||
}
|
||||
|
||||
public function buildLayer()
|
||||
{
|
||||
$inputVariablesGroups = $this->getInputVariablesGroups();
|
||||
@ -47,9 +42,7 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
private function createOutputVariable($key)
|
||||
{
|
||||
$outputVariable = $this->getParentFactorGraph()->getVariableFactory()->createKeyedVariable($key, $key."'s performance");
|
||||
|
||||
return $outputVariable;
|
||||
return $this->getParentFactorGraph()->getVariableFactory()->createKeyedVariable($key, $key."'s performance");
|
||||
}
|
||||
|
||||
public function createPriorSchedule()
|
||||
@ -58,9 +51,7 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
return $this->scheduleSequence(
|
||||
array_map(
|
||||
function ($likelihood) {
|
||||
return new ScheduleStep('Skill to Perf step', $likelihood, 0);
|
||||
},
|
||||
fn($likelihood) => new ScheduleStep('Skill to Perf step', $likelihood, 0),
|
||||
$localFactors),
|
||||
'All skill to performance sending');
|
||||
}
|
||||
@ -71,9 +62,7 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
|
||||
return $this->scheduleSequence(
|
||||
array_map(
|
||||
function ($likelihood) {
|
||||
return new ScheduleStep('name', $likelihood, 1);
|
||||
},
|
||||
fn($likelihood) => new ScheduleStep('name', $likelihood, 1),
|
||||
$localFactors),
|
||||
'All skill to performance sending');
|
||||
}
|
||||
|
@ -11,12 +11,9 @@ class TeamDifferencesComparisonLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
private $_epsilon;
|
||||
|
||||
private $_teamRanks;
|
||||
|
||||
public function __construct(TrueSkillFactorGraph $parentGraph, array $teamRanks)
|
||||
public function __construct(TrueSkillFactorGraph $parentGraph, private readonly array $_teamRanks)
|
||||
{
|
||||
parent::__construct($parentGraph);
|
||||
$this->_teamRanks = $teamRanks;
|
||||
$gameInfo = $this->getParentFactorGraph()->getGameInfo();
|
||||
$this->_epsilon = DrawMargin::getDrawMarginFromDrawProbability($gameInfo->getDrawProbability(), $gameInfo->getBeta());
|
||||
}
|
||||
@ -24,7 +21,7 @@ class TeamDifferencesComparisonLayer extends TrueSkillFactorGraphLayer
|
||||
public function buildLayer()
|
||||
{
|
||||
$inputVarGroups = $this->getInputVariablesGroups();
|
||||
$inputVarGroupsCount = count($inputVarGroups);
|
||||
$inputVarGroupsCount = is_countable($inputVarGroups) ? count($inputVarGroups) : 0;
|
||||
|
||||
for ($i = 0; $i < $inputVarGroupsCount; $i++) {
|
||||
$isDraw = ($this->_teamRanks[$i] == $this->_teamRanks[$i + 1]);
|
||||
|
@ -8,15 +8,10 @@ use DNW\Skills\TrueSkill\TrueSkillFactorGraph;
|
||||
|
||||
class TeamPerformancesToTeamPerformanceDifferencesLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
public function __construct(TrueSkillFactorGraph $parentGraph)
|
||||
{
|
||||
parent::__construct($parentGraph);
|
||||
}
|
||||
|
||||
public function buildLayer()
|
||||
{
|
||||
$inputVariablesGroups = $this->getInputVariablesGroups();
|
||||
$inputVariablesGroupsCount = count($inputVariablesGroups);
|
||||
$inputVariablesGroupsCount = is_countable($inputVariablesGroups) ? count($inputVariablesGroups) : 0;
|
||||
$outputVariablesGroup = &$this->getOutputVariablesGroups();
|
||||
|
||||
for ($i = 0; $i < $inputVariablesGroupsCount - 1; $i++) {
|
||||
@ -44,8 +39,6 @@ class TeamPerformancesToTeamPerformanceDifferencesLayer extends TrueSkillFactorG
|
||||
|
||||
private function createOutputVariable()
|
||||
{
|
||||
$outputVariable = $this->getParentFactorGraph()->getVariableFactory()->createBasicVariable('Team performance difference');
|
||||
|
||||
return $outputVariable;
|
||||
return $this->getParentFactorGraph()->getVariableFactory()->createBasicVariable('Team performance difference');
|
||||
}
|
||||
}
|
||||
|
@ -19,20 +19,15 @@ use DNW\Skills\TrueSkill\Layers\TeamPerformancesToTeamPerformanceDifferencesLaye
|
||||
|
||||
class TrueSkillFactorGraph extends FactorGraph
|
||||
{
|
||||
private $_gameInfo;
|
||||
|
||||
private $_layers;
|
||||
|
||||
private $_priorLayer;
|
||||
|
||||
public function __construct(GameInfo $gameInfo, array $teams, array $teamRanks)
|
||||
public function __construct(private readonly GameInfo $_gameInfo, array $teams, array $teamRanks)
|
||||
{
|
||||
$this->_priorLayer = new PlayerPriorValuesToSkillsLayer($this, $teams);
|
||||
$this->_gameInfo = $gameInfo;
|
||||
$newFactory = new VariableFactory(
|
||||
function () {
|
||||
return GaussianDistribution::fromPrecisionMean(0, 0);
|
||||
});
|
||||
fn() => GaussianDistribution::fromPrecisionMean(0, 0));
|
||||
|
||||
$this->setVariableFactory($newFactory);
|
||||
$this->_layers = [
|
||||
@ -70,7 +65,7 @@ class TrueSkillFactorGraph extends FactorGraph
|
||||
public function runSchedule()
|
||||
{
|
||||
$fullSchedule = $this->createFullSchedule();
|
||||
$fullScheduleDelta = $fullSchedule->visit();
|
||||
$fullSchedule->visit();
|
||||
}
|
||||
|
||||
public function getProbabilityOfRanking()
|
||||
|
@ -72,16 +72,12 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
|
||||
|
||||
$totalPlayers = $selfTeam->count() + $otherTeam->count();
|
||||
|
||||
$meanGetter = function ($currentRating) {
|
||||
return $currentRating->getMean();
|
||||
};
|
||||
$meanGetter = fn($currentRating) => $currentRating->getMean();
|
||||
|
||||
$selfMeanSum = BasicMath::sum($selfTeam->getAllRatings(), $meanGetter);
|
||||
$otherTeamMeanSum = BasicMath::sum($otherTeam->getAllRatings(), $meanGetter);
|
||||
|
||||
$varianceGetter = function ($currentRating) {
|
||||
return BasicMath::square($currentRating->getStandardDeviation());
|
||||
};
|
||||
$varianceGetter = fn($currentRating) => BasicMath::square($currentRating->getStandardDeviation());
|
||||
|
||||
$c = sqrt(
|
||||
BasicMath::sum($selfTeam->getAllRatings(), $varianceGetter)
|
||||
@ -148,22 +144,18 @@ class TwoTeamTrueSkillCalculator extends SkillCalculator
|
||||
|
||||
// We've verified that there's just two teams
|
||||
$team1Ratings = $teams[0]->getAllRatings();
|
||||
$team1Count = count($team1Ratings);
|
||||
$team1Count = is_countable($team1Ratings) ? count($team1Ratings) : 0;
|
||||
|
||||
$team2Ratings = $teams[1]->getAllRatings();
|
||||
$team2Count = count($team2Ratings);
|
||||
$team2Count = is_countable($team2Ratings) ? count($team2Ratings) : 0;
|
||||
|
||||
$totalPlayers = $team1Count + $team2Count;
|
||||
|
||||
$betaSquared = BasicMath::square($gameInfo->getBeta());
|
||||
|
||||
$meanGetter = function ($currentRating) {
|
||||
return $currentRating->getMean();
|
||||
};
|
||||
$meanGetter = fn($currentRating) => $currentRating->getMean();
|
||||
|
||||
$varianceGetter = function ($currentRating) {
|
||||
return BasicMath::square($currentRating->getStandardDeviation());
|
||||
};
|
||||
$varianceGetter = fn($currentRating) => BasicMath::square($currentRating->getStandardDeviation());
|
||||
|
||||
$team1MeanSum = BasicMath::sum($team1Ratings, $meanGetter);
|
||||
$team1StdDevSquared = BasicMath::sum($team1Ratings, $varianceGetter);
|
||||
|
Reference in New Issue
Block a user