Refactored into folders

tests/Unit/Training/GradientDescentPerceptronTest.php

@@ -0,0 +1,32 @@
+<?php
+
+namespace Tests\Unit\Training;
+
+use App\Models\GradientDescentPerceptronTraining;
+use App\Services\DatasetReader\LinearOrderDataSetReader;
+use Tests\Services\IterationEventBuffer\DullIterationEventBuffer;
+use App\Services\SynapticWeightsProvider\ZeroSynapticWeights;
+
+class GradientDescentPerceptronTest extends TrainingTestCase
+{
+
+    public function test_simple_perceptron_training_logic_and()
+    {
+        $training = new GradientDescentPerceptronTraining(
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and_gradient.csv')),
+            learningRate: 0.2,
+            maxEpochs: 100,
+            synapticWeightsProvider: new ZeroSynapticWeights(),
+            iterationEventBuffer: new DullIterationEventBuffer(),
+            sessionId: 'test-session',
+            trainingId: 'test-training',
+            minError: 0.125001,
+        );
+
+        $this->verifyTrainingResults(
+            training: $training,
+            expectedWeights: [[[-1.497898, 0.998228, 0.998228]]],
+            expectedEpochs: 49
+        );
+    }
+}

tests/Unit/Training/SimplePerceptronTest.php

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+<?php
+
+namespace Tests\Unit\Training;
+
+use App\Models\SimpleBinaryPerceptronTraining;
+use App\Services\DatasetReader\LinearOrderDataSetReader;
+use Tests\Services\IterationEventBuffer\DullIterationEventBuffer;
+use App\Services\SynapticWeightsProvider\ZeroSynapticWeights;
+
+class SimplePerceptronTest extends TrainingTestCase
+{
+
+    public function test_simple_perceptron_training_logic_and()
+    {
+        $training = new SimpleBinaryPerceptronTraining(
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and.csv')),
+            learningRate: 1.0,
+            maxEpochs: 100,
+            synapticWeightsProvider: new ZeroSynapticWeights(),
+            iterationEventBuffer: new DullIterationEventBuffer(),
+            sessionId: 'test-session',
+            trainingId: 'test-training',
+        );
+
+        $this->verifyTrainingResults(
+            training: $training,
+            expectedWeights: [[[-3.0, 2.0, 1.0]]],
+            expectedEpochs: 6
+        );
+    }
+}

tests/Unit/Training/TrainingTestCase.php

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+<?php
+
+namespace Tests\Unit\Training;
+
+use App\Models\NetworkTraining;
+use Tests\TestCase;
+
+class TrainingTestCase extends TestCase
+{
+    public const MARGIN_OF_ERROR = 0.001;
+
+    public function verifyTrainingResults(NetworkTraining $training, array $expectedWeights, int $expectedEpochs): 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.");
+
+        // 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.");
+    }
+
+}