mirror of
https://github.com/furyfire/trueskill.git
synced 2025-01-15 17:37:39 +00:00
More type checks
This commit is contained in:
@ -2,7 +2,6 @@
|
||||
|
||||
namespace DNW\Skills\FactorGraphs;
|
||||
|
||||
// edit this
|
||||
abstract class FactorGraphLayer
|
||||
{
|
||||
private array $_localFactors = [];
|
||||
@ -47,7 +46,7 @@ abstract class FactorGraphLayer
|
||||
$this->_inputVariablesGroups = $value;
|
||||
}
|
||||
|
||||
protected function scheduleSequence(array $itemsToSequence, $name)
|
||||
protected function scheduleSequence(array $itemsToSequence, $name): ScheduleSequence
|
||||
{
|
||||
return new ScheduleSequence($name, $itemsToSequence);
|
||||
}
|
||||
|
@ -8,7 +8,7 @@ abstract class Schedule implements \Stringable
|
||||
{
|
||||
}
|
||||
|
||||
abstract public function visit($depth = -1, $maxDepth = 0);
|
||||
abstract public function visit(int $depth = -1, int $maxDepth = 0);
|
||||
|
||||
public function __toString(): string
|
||||
{
|
||||
|
@ -9,7 +9,7 @@ class ScheduleLoop extends Schedule
|
||||
parent::__construct($name);
|
||||
}
|
||||
|
||||
public function visit($depth = -1, $maxDepth = 0)
|
||||
public function visit(int $depth = -1, int $maxDepth = 0)
|
||||
{
|
||||
$totalIterations = 1;
|
||||
$delta = $this->_scheduleToLoop->visit($depth + 1, $maxDepth);
|
||||
|
@ -4,22 +4,22 @@ namespace DNW\Skills\FactorGraphs;
|
||||
|
||||
class Variable implements \Stringable
|
||||
{
|
||||
private $_name;
|
||||
private string $_name;
|
||||
|
||||
private $_value;
|
||||
private mixed $_value;
|
||||
|
||||
public function __construct($name, private $_prior)
|
||||
public function __construct(string $name, private mixed $_prior)
|
||||
{
|
||||
$this->_name = 'Variable['.$name.']';
|
||||
$this->resetToPrior();
|
||||
}
|
||||
|
||||
public function getValue()
|
||||
public function getValue(): mixed
|
||||
{
|
||||
return $this->_value;
|
||||
}
|
||||
|
||||
public function setValue($value)
|
||||
public function setValue(mixed $value): void
|
||||
{
|
||||
$this->_value = $value;
|
||||
}
|
||||
|
@ -16,7 +16,7 @@ class BasicMath
|
||||
* @param number $x Value to square (x)
|
||||
* @return number The squared value (x^2)
|
||||
*/
|
||||
public static function square($x)
|
||||
public static function square($x): float|int
|
||||
{
|
||||
return $x * $x;
|
||||
}
|
||||
@ -28,7 +28,7 @@ class BasicMath
|
||||
* @param callable $callback The function to apply to each array element before summing.
|
||||
* @return number The sum.
|
||||
*/
|
||||
public static function sum(array $itemsToSum, $callback)
|
||||
public static function sum(array $itemsToSum, \Closure $callback): float|int
|
||||
{
|
||||
$mappedItems = array_map($callback, $itemsToSum);
|
||||
|
||||
|
@ -18,7 +18,7 @@ class GaussianDistribution implements \Stringable
|
||||
|
||||
private $_variance;
|
||||
|
||||
public function __construct(private $_mean = 0.0, private $_standardDeviation = 1.0)
|
||||
public function __construct(private float $_mean = 0.0, private float $_standardDeviation = 1.0)
|
||||
{
|
||||
$this->_variance = BasicMath::square($_standardDeviation);
|
||||
|
||||
@ -32,32 +32,32 @@ class GaussianDistribution implements \Stringable
|
||||
}
|
||||
}
|
||||
|
||||
public function getMean()
|
||||
public function getMean(): float
|
||||
{
|
||||
return $this->_mean;
|
||||
}
|
||||
|
||||
public function getVariance()
|
||||
public function getVariance(): float
|
||||
{
|
||||
return $this->_variance;
|
||||
}
|
||||
|
||||
public function getStandardDeviation()
|
||||
public function getStandardDeviation(): float
|
||||
{
|
||||
return $this->_standardDeviation;
|
||||
}
|
||||
|
||||
public function getPrecision()
|
||||
public function getPrecision(): float
|
||||
{
|
||||
return $this->_precision;
|
||||
}
|
||||
|
||||
public function getPrecisionMean()
|
||||
public function getPrecisionMean(): float
|
||||
{
|
||||
return $this->_precisionMean;
|
||||
}
|
||||
|
||||
public function getNormalizationConstant()
|
||||
public function getNormalizationConstant(): float
|
||||
{
|
||||
// Great derivation of this is at http://www.astro.psu.edu/~mce/A451_2/A451/downloads/notes0.pdf
|
||||
return 1.0 / (sqrt(2 * M_PI) * $this->_standardDeviation);
|
||||
@ -75,7 +75,7 @@ class GaussianDistribution implements \Stringable
|
||||
return $result;
|
||||
}
|
||||
|
||||
public static function fromPrecisionMean($precisionMean, $precision)
|
||||
public static function fromPrecisionMean(float $precisionMean, float $precision): self
|
||||
{
|
||||
$result = new GaussianDistribution();
|
||||
$result->_precision = $precision;
|
||||
@ -96,13 +96,13 @@ class GaussianDistribution implements \Stringable
|
||||
|
||||
// For details, see http://www.tina-vision.net/tina-knoppix/tina-memo/2003-003.pdf
|
||||
// for multiplication, the precision mean ones are easier to write :)
|
||||
public static function multiply(GaussianDistribution $left, GaussianDistribution $right)
|
||||
public static function multiply(GaussianDistribution $left, GaussianDistribution $right): self
|
||||
{
|
||||
return GaussianDistribution::fromPrecisionMean($left->_precisionMean + $right->_precisionMean, $left->_precision + $right->_precision);
|
||||
}
|
||||
|
||||
// Computes the absolute difference between two Gaussians
|
||||
public static function absoluteDifference(GaussianDistribution $left, GaussianDistribution $right)
|
||||
public static function absoluteDifference(GaussianDistribution $left, GaussianDistribution $right): float
|
||||
{
|
||||
return max(
|
||||
abs($left->_precisionMean - $right->_precisionMean),
|
||||
@ -111,12 +111,12 @@ class GaussianDistribution implements \Stringable
|
||||
}
|
||||
|
||||
// Computes the absolute difference between two Gaussians
|
||||
public static function subtract(GaussianDistribution $left, GaussianDistribution $right)
|
||||
public static function subtract(GaussianDistribution $left, GaussianDistribution $right): float
|
||||
{
|
||||
return GaussianDistribution::absoluteDifference($left, $right);
|
||||
}
|
||||
|
||||
public static function logProductNormalization(GaussianDistribution $left, GaussianDistribution $right)
|
||||
public static function logProductNormalization(GaussianDistribution $left, GaussianDistribution $right): float
|
||||
{
|
||||
if (($left->_precision == 0) || ($right->_precision == 0)) {
|
||||
return 0;
|
||||
@ -130,7 +130,7 @@ class GaussianDistribution implements \Stringable
|
||||
return -$logSqrt2Pi - (log($varianceSum) / 2.0) - (BasicMath::square($meanDifference) / (2.0 * $varianceSum));
|
||||
}
|
||||
|
||||
public static function divide(GaussianDistribution $numerator, GaussianDistribution $denominator)
|
||||
public static function divide(GaussianDistribution $numerator, GaussianDistribution $denominator): self
|
||||
{
|
||||
return GaussianDistribution::fromPrecisionMean(
|
||||
$numerator->_precisionMean - $denominator->_precisionMean,
|
||||
@ -138,7 +138,7 @@ class GaussianDistribution implements \Stringable
|
||||
);
|
||||
}
|
||||
|
||||
public static function logRatioNormalization(GaussianDistribution $numerator, GaussianDistribution $denominator)
|
||||
public static function logRatioNormalization(GaussianDistribution $numerator, GaussianDistribution $denominator): float
|
||||
{
|
||||
if (($numerator->_precision == 0) || ($denominator->_precision == 0)) {
|
||||
return 0;
|
||||
@ -153,7 +153,7 @@ class GaussianDistribution implements \Stringable
|
||||
BasicMath::square($meanDifference) / (2 * $varianceDifference);
|
||||
}
|
||||
|
||||
public static function at($x, $mean = 0.0, $standardDeviation = 1.0)
|
||||
public static function at(float $x, float $mean = 0.0, float $standardDeviation = 1.0): float
|
||||
{
|
||||
// See http://mathworld.wolfram.com/NormalDistribution.html
|
||||
// 1 -(x-mean)^2 / (2*stdDev^2)
|
||||
@ -166,7 +166,7 @@ class GaussianDistribution implements \Stringable
|
||||
return $multiplier * $expPart;
|
||||
}
|
||||
|
||||
public static function cumulativeTo($x, $mean = 0.0, $standardDeviation = 1.0)
|
||||
public static function cumulativeTo(float $x, float $mean = 0.0, float $standardDeviation = 1.0): float
|
||||
{
|
||||
$invsqrt2 = -0.707106781186547524400844362104;
|
||||
$result = GaussianDistribution::errorFunctionCumulativeTo($invsqrt2 * $x);
|
||||
@ -174,7 +174,7 @@ class GaussianDistribution implements \Stringable
|
||||
return 0.5 * $result;
|
||||
}
|
||||
|
||||
private static function errorFunctionCumulativeTo($x)
|
||||
private static function errorFunctionCumulativeTo($x): float
|
||||
{
|
||||
// Derived from page 265 of Numerical Recipes 3rd Edition
|
||||
$z = abs($x);
|
||||
@ -227,7 +227,7 @@ class GaussianDistribution implements \Stringable
|
||||
return ($x >= 0.0) ? $ans : (2.0 - $ans);
|
||||
}
|
||||
|
||||
private static function inverseErrorFunctionCumulativeTo($p)
|
||||
private static function inverseErrorFunctionCumulativeTo(float $p): float
|
||||
{
|
||||
// From page 265 of numerical recipes
|
||||
|
||||
@ -250,7 +250,7 @@ class GaussianDistribution implements \Stringable
|
||||
return ($p < 1.0) ? $x : -$x;
|
||||
}
|
||||
|
||||
public static function inverseCumulativeTo($x, $mean = 0.0, $standardDeviation = 1.0)
|
||||
public static function inverseCumulativeTo(float $x, float $mean = 0.0, float $standardDeviation = 1.0): float
|
||||
{
|
||||
// From numerical recipes, page 320
|
||||
return $mean - sqrt(2) * $standardDeviation * GaussianDistribution::inverseErrorFunctionCumulativeTo(2 * $x);
|
||||
|
@ -8,11 +8,11 @@ class Matrix
|
||||
{
|
||||
public const ERROR_TOLERANCE = 0.0000000001;
|
||||
|
||||
public function __construct(private $_rowCount = 0, private $_columnCount = 0, private $_matrixRowData = null)
|
||||
public function __construct(private int $_rowCount = 0, private int $_columnCount = 0, private $_matrixRowData = null)
|
||||
{
|
||||
}
|
||||
|
||||
public static function fromColumnValues($rows, $columns, $columnValues)
|
||||
public static function fromColumnValues(int $rows, int $columns, array $columnValues): self
|
||||
{
|
||||
$data = [];
|
||||
$result = new Matrix($rows, $columns, $data);
|
||||
@ -28,7 +28,7 @@ class Matrix
|
||||
return $result;
|
||||
}
|
||||
|
||||
public static function fromRowsColumns(...$args)
|
||||
public static function fromRowsColumns(...$args): Matrix
|
||||
{
|
||||
$rows = $args[0];
|
||||
$cols = $args[1];
|
||||
@ -44,27 +44,27 @@ class Matrix
|
||||
return $result;
|
||||
}
|
||||
|
||||
public function getRowCount()
|
||||
public function getRowCount(): int
|
||||
{
|
||||
return $this->_rowCount;
|
||||
}
|
||||
|
||||
public function getColumnCount()
|
||||
public function getColumnCount(): int
|
||||
{
|
||||
return $this->_columnCount;
|
||||
}
|
||||
|
||||
public function getValue($row, $col)
|
||||
public function getValue(int $row, int $col): float|int
|
||||
{
|
||||
return $this->_matrixRowData[$row][$col];
|
||||
}
|
||||
|
||||
public function setValue($row, $col, $value)
|
||||
public function setValue(int $row, int $col, float|int $value)
|
||||
{
|
||||
$this->_matrixRowData[$row][$col] = $value;
|
||||
}
|
||||
|
||||
public function getTranspose()
|
||||
public function getTranspose(): self
|
||||
{
|
||||
// Just flip everything
|
||||
$transposeMatrix = [];
|
||||
@ -84,12 +84,12 @@ class Matrix
|
||||
return new Matrix($this->_columnCount, $this->_rowCount, $transposeMatrix);
|
||||
}
|
||||
|
||||
private function isSquare()
|
||||
private function isSquare(): bool
|
||||
{
|
||||
return ($this->_rowCount == $this->_columnCount) && ($this->_rowCount > 0);
|
||||
}
|
||||
|
||||
public function getDeterminant()
|
||||
public function getDeterminant(): float
|
||||
{
|
||||
// Basic argument checking
|
||||
if (! $this->isSquare()) {
|
||||
@ -134,7 +134,7 @@ class Matrix
|
||||
return $result;
|
||||
}
|
||||
|
||||
public function getAdjugate()
|
||||
public function getAdjugate(): SquareMatrix|self
|
||||
{
|
||||
if (! $this->isSquare()) {
|
||||
throw new Exception('Matrix must be square!');
|
||||
@ -171,7 +171,7 @@ class Matrix
|
||||
return new Matrix($this->_columnCount, $this->_rowCount, $result);
|
||||
}
|
||||
|
||||
public function getInverse()
|
||||
public function getInverse(): Matrix|SquareMatrix
|
||||
{
|
||||
if (($this->_rowCount == 1) && ($this->_columnCount == 1)) {
|
||||
return new SquareMatrix(1.0 / $this->_matrixRowData[0][0]);
|
||||
@ -185,7 +185,7 @@ class Matrix
|
||||
return self::scalarMultiply($determinantInverse, $adjugate);
|
||||
}
|
||||
|
||||
public static function scalarMultiply($scalarValue, $matrix)
|
||||
public static function scalarMultiply(float|int $scalarValue, Matrix $matrix): Matrix
|
||||
{
|
||||
$rows = $matrix->getRowCount();
|
||||
$columns = $matrix->getColumnCount();
|
||||
@ -200,7 +200,7 @@ class Matrix
|
||||
return new Matrix($rows, $columns, $newValues);
|
||||
}
|
||||
|
||||
public static function add($left, $right)
|
||||
public static function add(Matrix $left, Matrix $right): Matrix
|
||||
{
|
||||
if (
|
||||
($left->getRowCount() != $right->getRowCount())
|
||||
@ -226,7 +226,7 @@ class Matrix
|
||||
return new Matrix($left->getRowCount(), $right->getColumnCount(), $resultMatrix);
|
||||
}
|
||||
|
||||
public static function multiply($left, $right)
|
||||
public static function multiply(Matrix $left, Matrix $right): Matrix
|
||||
{
|
||||
// Just your standard matrix multiplication.
|
||||
// See http://en.wikipedia.org/wiki/Matrix_multiplication for details
|
||||
@ -258,7 +258,7 @@ class Matrix
|
||||
return new Matrix($resultRows, $resultColumns, $resultMatrix);
|
||||
}
|
||||
|
||||
private function getMinorMatrix($rowToRemove, $columnToRemove)
|
||||
private function getMinorMatrix(int $rowToRemove, int $columnToRemove): Matrix
|
||||
{
|
||||
// See http://en.wikipedia.org/wiki/Minor_(linear_algebra)
|
||||
|
||||
|
@ -9,11 +9,11 @@ use Exception;
|
||||
|
||||
class Range
|
||||
{
|
||||
private $_min;
|
||||
private int $_min;
|
||||
|
||||
private $_max;
|
||||
private int $_max;
|
||||
|
||||
public function __construct($min, $max)
|
||||
public function __construct(int $min, int $max)
|
||||
{
|
||||
if ($min > $max) {
|
||||
throw new Exception('min > max');
|
||||
@ -23,39 +23,39 @@ class Range
|
||||
$this->_max = $max;
|
||||
}
|
||||
|
||||
public function getMin()
|
||||
public function getMin(): int
|
||||
{
|
||||
return $this->_min;
|
||||
}
|
||||
|
||||
public function getMax()
|
||||
public function getMax(): int
|
||||
{
|
||||
return $this->_max;
|
||||
}
|
||||
|
||||
protected static function create($min, $max)
|
||||
protected static function create(int $min, int $max): self
|
||||
{
|
||||
return new Range($min, $max);
|
||||
}
|
||||
|
||||
// REVIEW: It's probably bad form to have access statics via a derived class, but the syntax looks better :-)
|
||||
|
||||
public static function inclusive($min, $max)
|
||||
public static function inclusive(int $min, int $max): self
|
||||
{
|
||||
return static::create($min, $max);
|
||||
}
|
||||
|
||||
public static function exactly($value)
|
||||
public static function exactly(int $value): self
|
||||
{
|
||||
return static::create($value, $value);
|
||||
}
|
||||
|
||||
public static function atLeast($minimumValue)
|
||||
public static function atLeast(int $minimumValue): self
|
||||
{
|
||||
return static::create($minimumValue, PHP_INT_MAX);
|
||||
}
|
||||
|
||||
public function isInRange($value)
|
||||
public function isInRange(int $value): bool
|
||||
{
|
||||
return ($this->_min <= $value) && ($value <= $this->_max);
|
||||
}
|
||||
|
@ -6,7 +6,7 @@ use DNW\Skills\Numerics\Range;
|
||||
|
||||
class PlayersRange extends Range
|
||||
{
|
||||
protected static function create($min, $max)
|
||||
protected static function create(int $min, int $max): self
|
||||
{
|
||||
return new PlayersRange($min, $max);
|
||||
}
|
||||
|
@ -6,7 +6,7 @@ use DNW\Skills\Numerics\Range;
|
||||
|
||||
class TeamsRange extends Range
|
||||
{
|
||||
protected static function create($min, $max)
|
||||
protected static function create(int $min, int $max): self
|
||||
{
|
||||
return new TeamsRange($min, $max);
|
||||
}
|
||||
|
@ -14,6 +14,7 @@ use DNW\Skills\RankSorter;
|
||||
use DNW\Skills\SkillCalculator;
|
||||
use DNW\Skills\SkillCalculatorSupportedOptions;
|
||||
use DNW\Skills\TeamsRange;
|
||||
use DNW\Skills\RatingContainer;
|
||||
|
||||
/**
|
||||
* Calculates TrueSkill using a full factor graph.
|
||||
@ -27,7 +28,7 @@ class FactorGraphTrueSkillCalculator extends SkillCalculator
|
||||
|
||||
public function calculateNewRatings(GameInfo $gameInfo,
|
||||
array $teams,
|
||||
array $teamRanks)
|
||||
array $teamRanks): RatingContainer
|
||||
{
|
||||
Guard::argumentNotNull($gameInfo, 'gameInfo');
|
||||
$this->validateTeamCountAndPlayersCountPerTeam($teams);
|
||||
|
@ -6,6 +6,7 @@ use DNW\Skills\FactorGraphs\KeyedVariable;
|
||||
use DNW\Skills\FactorGraphs\ScheduleStep;
|
||||
use DNW\Skills\Numerics\BasicMath;
|
||||
use DNW\Skills\TrueSkill\Factors\GaussianLikelihoodFactor;
|
||||
use DNW\Skills\FactorGraphs\ScheduleSequence;
|
||||
|
||||
class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
{
|
||||
@ -30,7 +31,7 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
}
|
||||
}
|
||||
|
||||
private function createLikelihood(KeyedVariable $playerSkill, KeyedVariable $playerPerformance)
|
||||
private function createLikelihood(KeyedVariable $playerSkill, KeyedVariable $playerPerformance): GaussianLikelihoodFactor
|
||||
{
|
||||
return new GaussianLikelihoodFactor(
|
||||
BasicMath::square($this->getParentFactorGraph()->getGameInfo()->getBeta()),
|
||||
@ -44,7 +45,7 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
return $this->getParentFactorGraph()->getVariableFactory()->createKeyedVariable($key, $key."'s performance");
|
||||
}
|
||||
|
||||
public function createPriorSchedule()
|
||||
public function createPriorSchedule(): ScheduleSequence
|
||||
{
|
||||
$localFactors = $this->getLocalFactors();
|
||||
|
||||
@ -55,7 +56,7 @@ class PlayerSkillsToPerformancesLayer extends TrueSkillFactorGraphLayer
|
||||
'All skill to performance sending');
|
||||
}
|
||||
|
||||
public function createPosteriorSchedule()
|
||||
public function createPosteriorSchedule(): ScheduleSequence
|
||||
{
|
||||
$localFactors = $this->getLocalFactors();
|
||||
|
||||
|
@ -110,7 +110,7 @@ class TrueSkillFactorGraph extends FactorGraph
|
||||
return new ScheduleSequence('Full schedule', $fullSchedule);
|
||||
}
|
||||
|
||||
public function getUpdatedRatings()
|
||||
public function getUpdatedRatings(): RatingContainer
|
||||
{
|
||||
$result = new RatingContainer();
|
||||
|
||||
|
@ -17,9 +17,8 @@ class TruncatedGaussianCorrectionFunctions
|
||||
* @param $teamPerformanceDifference
|
||||
* @param number $drawMargin In the paper, it's referred to as just "ε".
|
||||
* @param $c
|
||||
* @return float
|
||||
*/
|
||||
public static function vExceedsMarginScaled($teamPerformanceDifference, $drawMargin, $c)
|
||||
public static function vExceedsMarginScaled($teamPerformanceDifference, float|int $drawMargin, $c): float
|
||||
{
|
||||
return self::vExceedsMargin($teamPerformanceDifference / $c, $drawMargin / $c);
|
||||
}
|
||||
@ -44,14 +43,13 @@ class TruncatedGaussianCorrectionFunctions
|
||||
* @param $teamPerformanceDifference
|
||||
* @param $drawMargin
|
||||
* @param $c
|
||||
* @return float
|
||||
*/
|
||||
public static function wExceedsMarginScaled($teamPerformanceDifference, $drawMargin, $c)
|
||||
public static function wExceedsMarginScaled($teamPerformanceDifference, float|int $drawMargin, $c): float
|
||||
{
|
||||
return self::wExceedsMargin($teamPerformanceDifference / $c, $drawMargin / $c);
|
||||
}
|
||||
|
||||
public static function wExceedsMargin($teamPerformanceDifference, $drawMargin)
|
||||
public static function wExceedsMargin($teamPerformanceDifference, $drawMargin): float
|
||||
{
|
||||
$denominator = GaussianDistribution::cumulativeTo($teamPerformanceDifference - $drawMargin);
|
||||
|
||||
@ -69,13 +67,13 @@ class TruncatedGaussianCorrectionFunctions
|
||||
}
|
||||
|
||||
// the additive correction of a double-sided truncated Gaussian with unit variance
|
||||
public static function vWithinMarginScaled($teamPerformanceDifference, $drawMargin, $c)
|
||||
public static function vWithinMarginScaled($teamPerformanceDifference, float|int $drawMargin, $c): float
|
||||
{
|
||||
return self::vWithinMargin($teamPerformanceDifference / $c, $drawMargin / $c);
|
||||
}
|
||||
|
||||
// from F#:
|
||||
public static function vWithinMargin($teamPerformanceDifference, $drawMargin)
|
||||
public static function vWithinMargin($teamPerformanceDifference, $drawMargin): float
|
||||
{
|
||||
$teamPerformanceDifferenceAbsoluteValue = abs($teamPerformanceDifference);
|
||||
$denominator =
|
||||
@ -101,13 +99,13 @@ class TruncatedGaussianCorrectionFunctions
|
||||
}
|
||||
|
||||
// the multiplicative correction of a double-sided truncated Gaussian with unit variance
|
||||
public static function wWithinMarginScaled($teamPerformanceDifference, $drawMargin, $c)
|
||||
public static function wWithinMarginScaled($teamPerformanceDifference, float|int $drawMargin, $c): float
|
||||
{
|
||||
return self::wWithinMargin($teamPerformanceDifference / $c, $drawMargin / $c);
|
||||
}
|
||||
|
||||
// From F#:
|
||||
public static function wWithinMargin($teamPerformanceDifference, $drawMargin)
|
||||
public static function wWithinMargin($teamPerformanceDifference, float|int $drawMargin)
|
||||
{
|
||||
$teamPerformanceDifferenceAbsoluteValue = abs($teamPerformanceDifference);
|
||||
$denominator = GaussianDistribution::cumulativeTo($drawMargin - $teamPerformanceDifferenceAbsoluteValue)
|
||||
|
@ -29,7 +29,7 @@ class TwoPlayerTrueSkillCalculator extends SkillCalculator
|
||||
|
||||
public function calculateNewRatings(GameInfo $gameInfo,
|
||||
array $teams,
|
||||
array $teamRanks)
|
||||
array $teamRanks): RatingContainer
|
||||
{
|
||||
// Basic argument checking
|
||||
Guard::argumentNotNull($gameInfo, 'gameInfo');
|
||||
|
Reference in New Issue
Block a user