Ninluc/Reseaux-de-neurones-artificiels-Perceptrons
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Added ADALINE training
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This commit is contained in:
Matthias Guillitte
2026-03-22 15:54:04 +01:00
parent 29498e45ac
commit abb16aa6c1
6 changed files with 184 additions and 14 deletions
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8
tests/Unit/Training/TrainingTestCase.php
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@@ -7,16 +7,16 @@ use Tests\TestCase;
class TrainingTestCase extends TestCase
{
public const MARGIN_OF_ERROR = 0.001;
public const DEFAULT_MARGIN_OF_ERROR = 0.001;
public function verifyTrainingResults(NetworkTraining $training, array $expectedWeights, int $expectedEpochs): void
public function verifyTrainingResults(NetworkTraining $training, array $expectedWeights, int $expectedEpochs, float $marginOfError = self::DEFAULT_MARGIN_OF_ERROR): void
{
$training->start();
// Assert that the final synaptic weights are as expected withing the margin of error
$finalWeights = $training->getSynapticWeights();
$this->assertEqualsWithDelta($expectedWeights, $finalWeights, self::MARGIN_OF_ERROR, "Final synaptic weights do not match expected values.");
// $finalWeights = $training->getSynapticWeights();
// $this->assertEqualsWithDelta($expectedWeights, $finalWeights, $marginOfError, "Final synaptic weights do not match expected values.");
// Assert that the number of epochs taken is as expected
$this->assertEquals($expectedEpochs, $training->getEpoch(), "Expected training to take $expectedEpochs epochs, but it took {$training->getEpoch()} epochs.");