mirror of
				https://github.com/furyfire/trueskill.git
				synced 2025-11-04 10:12:28 +01:00 
			
		
		
		
	Fixing failing tests and misc cleanup
This commit is contained in:
		@@ -21,7 +21,7 @@ class GaussianDistribution
 | 
			
		||||
    {
 | 
			
		||||
        $this->_mean = $mean;
 | 
			
		||||
        $this->_standardDeviation = $standardDeviation;
 | 
			
		||||
        $this->_variance = BasicMatch::square($standardDeviation);
 | 
			
		||||
        $this->_variance = BasicMath::square($standardDeviation);
 | 
			
		||||
 | 
			
		||||
        if ($this->_variance != 0) {
 | 
			
		||||
            $this->_precision = 1.0 / $this->_variance;
 | 
			
		||||
@@ -128,7 +128,7 @@ class GaussianDistribution
 | 
			
		||||
        $meanDifference = $left->_mean - $right->_mean;
 | 
			
		||||
 | 
			
		||||
        $logSqrt2Pi = log(sqrt(2 * M_PI));
 | 
			
		||||
        return -$logSqrt2Pi - (log($varianceSum) / 2.0) - (BasicMatch::square($meanDifference) / (2.0 * $varianceSum));
 | 
			
		||||
        return -$logSqrt2Pi - (log($varianceSum) / 2.0) - (BasicMath::square($meanDifference) / (2.0 * $varianceSum));
 | 
			
		||||
    }
 | 
			
		||||
 | 
			
		||||
    public static function divide(GaussianDistribution $numerator, GaussianDistribution $denominator)
 | 
			
		||||
@@ -149,7 +149,7 @@ class GaussianDistribution
 | 
			
		||||
        $logSqrt2Pi = log(sqrt(2 * M_PI));
 | 
			
		||||
 | 
			
		||||
        return log($denominator->_variance) + $logSqrt2Pi - log($varianceDifference) / 2.0 +
 | 
			
		||||
        BasicMatch::square($meanDifference) / (2 * $varianceDifference);
 | 
			
		||||
        BasicMath::square($meanDifference) / (2 * $varianceDifference);
 | 
			
		||||
    }
 | 
			
		||||
 | 
			
		||||
    public static function at($x, $mean = 0.0, $standardDeviation = 1.0)
 | 
			
		||||
@@ -160,7 +160,7 @@ class GaussianDistribution
 | 
			
		||||
        //        stdDev * sqrt(2*pi)
 | 
			
		||||
 | 
			
		||||
        $multiplier = 1.0 / ($standardDeviation * sqrt(2 * M_PI));
 | 
			
		||||
        $expPart = exp((-1.0 * BasicMatch::square($x - $mean)) / (2 * BasicMatch::square($standardDeviation)));
 | 
			
		||||
        $expPart = exp((-1.0 * BasicMath::square($x - $mean)) / (2 * BasicMath::square($standardDeviation)));
 | 
			
		||||
        $result = $multiplier * $expPart;
 | 
			
		||||
        return $result;
 | 
			
		||||
    }
 | 
			
		||||
@@ -241,7 +241,7 @@ class GaussianDistribution
 | 
			
		||||
 | 
			
		||||
        for ($j = 0; $j < 2; $j++) {
 | 
			
		||||
            $err = GaussianDistribution::errorFunctionCumulativeTo($x) - $pp;
 | 
			
		||||
            $x += $err / (1.12837916709551257 * exp(-BasicMatch::square($x)) - $x * $err); // Halley
 | 
			
		||||
            $x += $err / (1.12837916709551257 * exp(-BasicMath::square($x)) - $x * $err); // Halley
 | 
			
		||||
        }
 | 
			
		||||
 | 
			
		||||
        return ($p < 1.0) ? $x : -$x;
 | 
			
		||||
 
 | 
			
		||||
		Reference in New Issue
	
	Block a user