jct/trueskill
1
0
Fork 0
mirror of https://github.com/furyfire/trueskill.git synced 2025-04-19 20:34:28 +00:00
Code Issues Packages Projects Releases Wiki Activity

Bunch of generic code standard items. Will need a cleanup.
Some checks failed
ci/woodpecker/push/woodpecker Pipeline failed
Details

Browse Source
This commit is contained in:
Jens True
2024-02-02 15:16:11 +00:00
parent 3dddfc05db
commit c18ccd38e2
38 changed files with 117 additions and 26 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
src/TrueSkill/Factors/GaussianFactor.php
View File

@ -1,5 +1,7 @@
<?php
declare(strict_types=1);
namespace DNW\Skills\TrueSkill\Factors;
use DNW\Skills\FactorGraphs\Factor;

8
src/TrueSkill/Factors/GaussianGreaterThanFactor.php
View File

@ -1,5 +1,7 @@
<?php
declare(strict_types=1);
namespace DNW\Skills\TrueSkill\Factors;
use DNW\Skills\FactorGraphs\Message;
@ -62,11 +64,9 @@ class GaussianGreaterThanFactor extends GaussianFactor
$denom = 1.0 - TruncatedGaussianCorrectionFunctions::wExceedsMargin($dOnSqrtC, $epsilsonTimesSqrtC);
$newPrecision = $c / $denom;
$newPrecisionMean = (
$d +
$newPrecisionMean = ($d +
$sqrtC *
TruncatedGaussianCorrectionFunctions::vExceedsMargin($dOnSqrtC, $epsilsonTimesSqrtC)
) / $denom;
TruncatedGaussianCorrectionFunctions::vExceedsMargin($dOnSqrtC, $epsilsonTimesSqrtC)) / $denom;
$newMarginal = GaussianDistribution::fromPrecisionMean($newPrecisionMean, $newPrecision);

2
src/TrueSkill/Factors/GaussianLikelihoodFactor.php
View File

@ -1,5 +1,7 @@
<?php
declare(strict_types=1);
namespace DNW\Skills\TrueSkill\Factors;
use DNW\Skills\FactorGraphs\KeyedVariable;

2
src/TrueSkill/Factors/GaussianPriorFactor.php
View File

@ -1,5 +1,7 @@
<?php
declare(strict_types=1);
namespace DNW\Skills\TrueSkill\Factors;
use DNW\Skills\FactorGraphs\Message;

3
src/TrueSkill/Factors/GaussianWeightedSumFactor.php
View File

@ -26,6 +26,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
/**
* 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]
*
* @var array<float[]> $weights
*/
private array $weights = [];
@ -249,7 +250,7 @@ class GaussianWeightedSumFactor extends GaussianFactor
$absValue = sprintf('%.2f', \abs($weights[$i])); // 0.00?
$result .= $absValue;
$result .= '*[';
$result .= (string) $variablesToSum[$i];
$result .= (string)$variablesToSum[$i];
$result .= ']';
$isLast = ($i === $totalVars - 1);

5
src/TrueSkill/Factors/GaussianWithinFactor.php
View File

@ -1,5 +1,7 @@
<?php
declare(strict_types=1);
namespace DNW\Skills\TrueSkill\Factors;
use DNW\Skills\FactorGraphs\Message;
@ -65,8 +67,7 @@ class GaussianWithinFactor extends GaussianFactor
$newPrecision = $c / $denominator;
$newPrecisionMean = ($d +
$sqrtC *
TruncatedGaussianCorrectionFunctions::vWithinMargin($dOnSqrtC, $epsilonTimesSqrtC)
) / $denominator;
TruncatedGaussianCorrectionFunctions::vWithinMargin($dOnSqrtC, $epsilonTimesSqrtC)) / $denominator;
$newMarginal = GaussianDistribution::fromPrecisionMean($newPrecisionMean, $newPrecision);
$newMessage = GaussianDistribution::divide(