Fix linting
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@@ -4,19 +4,13 @@ namespace Tests\Services\IterationEventBuffer;
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use App\Services\IterationEventBuffer\IPerceptronIterationEventBuffer;
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class DullIterationEventBuffer implements IPerceptronIterationEventBuffer {
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class DullIterationEventBuffer implements IPerceptronIterationEventBuffer
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{
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public function __construct(
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) {
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) {}
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}
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public function flush(): void {}
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public function flush(): void {
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return;
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}
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public function addIteration(int $epoch, int $exampleIndex, float $error, array $synaptic_weights): void {
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return;
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}
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public function addIteration(int $epoch, int $exampleIndex, float $error, array $synaptic_weights): void {}
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}
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@@ -9,15 +9,14 @@ use Tests\Services\IterationEventBuffer\DullIterationEventBuffer;
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class ADALINEPerceptronTest extends TrainingTestCase
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{
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public function test_adaline_perceptron_training_logic_and()
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{
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$training = new ADALINEPerceptronTraining(
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datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and_gradient.csv')),
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learningRate: 0.03,
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maxEpochs: 10000,
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synapticWeightsProvider: new ZeroSynapticWeights(),
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iterationEventBuffer: new DullIterationEventBuffer(),
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synapticWeightsProvider: new ZeroSynapticWeights,
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iterationEventBuffer: new DullIterationEventBuffer,
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sessionId: 'test-session',
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trainingId: 'test-training',
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minError: 0.1251,
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@@ -57,8 +56,8 @@ class ADALINEPerceptronTest extends TrainingTestCase
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datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_2_10.csv')),
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learningRate: 0.0015,
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maxEpochs: 1000,
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synapticWeightsProvider: new ZeroSynapticWeights(),
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iterationEventBuffer: new DullIterationEventBuffer(),
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synapticWeightsProvider: new ZeroSynapticWeights,
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iterationEventBuffer: new DullIterationEventBuffer,
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sessionId: 'test-session',
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trainingId: 'test-training',
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// minError: 16.597077, // Impossible pour un dataset avec des labels -1 et 1 d'avoir une erreur moyenne supérieure à 2
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@@ -9,15 +9,14 @@ use Tests\Services\IterationEventBuffer\DullIterationEventBuffer;
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class GradientDescentPerceptronTest extends TrainingTestCase
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{
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public function test_gradient_descent_perceptron_training_logic_and()
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{
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$training = new GradientDescentPerceptronTraining(
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datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and_gradient.csv')),
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learningRate: 0.2,
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maxEpochs: 100,
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synapticWeightsProvider: new ZeroSynapticWeights(),
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iterationEventBuffer: new DullIterationEventBuffer(),
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synapticWeightsProvider: new ZeroSynapticWeights,
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iterationEventBuffer: new DullIterationEventBuffer,
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sessionId: 'test-session',
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trainingId: 'test-training',
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minError: 0.125001,
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@@ -56,8 +55,8 @@ class GradientDescentPerceptronTest extends TrainingTestCase
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datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_2_10.csv')),
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learningRate: 0.0015,
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maxEpochs: 1000,
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synapticWeightsProvider: new ZeroSynapticWeights(),
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iterationEventBuffer: new DullIterationEventBuffer(),
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synapticWeightsProvider: new ZeroSynapticWeights,
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iterationEventBuffer: new DullIterationEventBuffer,
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sessionId: 'test-session',
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trainingId: 'test-training',
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// minError: 16.388103, // Impossible pour un dataset avec des labels -1 et 1 d'avoir une erreur moyenne supérieure à 2
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@@ -9,15 +9,14 @@ use Tests\Services\IterationEventBuffer\DullIterationEventBuffer;
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class SimplePerceptronTest extends TrainingTestCase
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{
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public function test_simple_perceptron_training_logic_and()
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{
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$training = new SimpleBinaryPerceptronTraining(
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datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and.csv')),
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learningRate: 1.0,
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maxEpochs: 100,
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synapticWeightsProvider: new ZeroSynapticWeights(),
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iterationEventBuffer: new DullIterationEventBuffer(),
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synapticWeightsProvider: new ZeroSynapticWeights,
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iterationEventBuffer: new DullIterationEventBuffer,
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sessionId: 'test-session',
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trainingId: 'test-training',
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);
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@@ -13,7 +13,6 @@ class TrainingTestCase extends TestCase
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{
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$training->start();
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// Assert that the final synaptic weights are as expected withing the margin of error
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// $finalWeights = $training->getSynapticWeights();
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// $this->assertEqualsWithDelta($expectedWeights, $finalWeights, $marginOfError, "Final synaptic weights do not match expected values.");
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@@ -21,5 +20,4 @@ class TrainingTestCase extends TestCase
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// Assert that the number of epochs taken is as expected
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$this->assertEquals($expectedEpochs, $training->getEpoch(), "Expected training to take $expectedEpochs epochs, but it took {$training->getEpoch()} epochs.");
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}
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}
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