<?php
/*
dobu {
file:id(`3`),name(`binaryCrossEntropy-3`) {
ascoos {
logo {`
__ _ ___ ___ ___ ___ ___ ___ ___
/ _` |/ / / __/ _ \ / _ \ / / / _ \ / /
| (_| |\ \| (_| (_) | (_) |\ \ | (_) |\ \
\__,_|/__/ \___\___/ \___/ /__/ \___/ /__/
`},
name {`ASCOOS OS`},
version {`1.0.0`},
},
example {
method {`TArtificialIntelligenceHandler::binaryCrossEntropy()`}
source {`examples/ai/TArtificialIntelligenceHandler/binaryCrossEntropy-3.php`},
category:langs {
en {`1D Numeric Arrays with Weights`},
el {`?????????? ?????????? ???? ????????? ?? ????`}
},
description:langs {
en {`Demonstrates the calculation of Binary Cross-Entropy loss with weights for each element in the 1D arrays.`},
el {`??????????? ??? ?????????? ??? ???????? ?????????? ??????????????? ????????? ?? ???? ??? ???? ???????? ????? 1D ???????.`}
},
author {`Drogidis Christos`},
sincePHP {`8.4.0`}
}
}
}
*/
declare(strict_types=1);
use ASCOOS\OS\Kernel\AI\TArtificialIntelligenceHandler;
$ai = new TArtificialIntelligenceHandler([], []);
$y_true = [1, 0, 1];
$y_pred = [0.9, 0.1, 0.8];
$weights = [0.5, 1.0, 1.5]; // Here are the weights for each element
$loss = $ai->binaryCrossEntropy($y_true, $y_pred, $weights);
echo "Binary Cross-Entropy Loss with Weights: {$loss}\n"; // Expected output: Binary Cross-Entropy Loss with Weights: 0.16425203348602
?>
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