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tests/Unit/Training/ADALINEPerceptronTest.php

@@ -12,7 +12,7 @@ class ADALINEPerceptronTest extends TrainingTestCase
     public function test_adaline_perceptron_training_logic_and()
     {
         $training = new ADALINEPerceptronTraining(
-            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and_gradient.csv')),
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/Classification_-_Porte_logique_ET_(linéairement_séparable).csv')),
             learningRate: 0.03,
             maxEpochs: 10000,
             synapticWeightsProvider: new ZeroSynapticWeights,
@@ -53,7 +53,7 @@ class ADALINEPerceptronTest extends TrainingTestCase
     public function test_adaline_perceptron_training_table_2_10()
     {
         $training = new ADALINEPerceptronTraining(
-            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_2_10.csv')),
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/Classification_-_Oblique_modifié_(non_linéairement_séparable).csv')),
             learningRate: 0.0015,
             maxEpochs: 1000,
             synapticWeightsProvider: new ZeroSynapticWeights,

tests/Unit/Training/GradientDescentPerceptronTest.php

@@ -12,7 +12,7 @@ class GradientDescentPerceptronTest extends TrainingTestCase
     public function test_gradient_descent_perceptron_training_logic_and()
     {
         $training = new GradientDescentPerceptronTraining(
-            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/logic_and_gradient.csv')),
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/Classification_-_Porte_logique_ET_(linéairement_séparable).csv')),
             learningRate: 0.2,
             maxEpochs: 100,
             synapticWeightsProvider: new ZeroSynapticWeights,
@@ -52,7 +52,7 @@ class GradientDescentPerceptronTest extends TrainingTestCase
     public function test_gradient_descent_perceptron_training_table_2_10()
     {
         $training = new GradientDescentPerceptronTraining(
-            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_2_10.csv')),
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/Classification_-_Oblique_modifié_(non_linéairement_séparable).csv')),
             learningRate: 0.0015,
             maxEpochs: 1000,
             synapticWeightsProvider: new ZeroSynapticWeights,

tests/Unit/Training/MultiLayerPerceptronTest.php

@@ -12,7 +12,7 @@ class MultiLayerPerceptronTest extends TrainingTestCase
     public function test_multilayer_perceptron_uses_one_output_for_continuous_targets(): void
     {
         $training = new MultiLayerPerceptronTraining(
-            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/table_4_17.csv')),
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/Régression_-_Vague.csv')),
             learningRate: 0.01,
             maxEpochs: 1,
             hiddenLayers: 1,
@@ -30,4 +30,4 @@ class MultiLayerPerceptronTest extends TrainingTestCase
 
         $this->assertCount(1, $weights[count($weights) - 1]);
     }
-}
+}

tests/Unit/Training/SimplePerceptronTest.php

@@ -12,7 +12,7 @@ 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')),
+            datasetReader: new LinearOrderDataSetReader(public_path('data_sets/Classification_-_Porte_logique_ET_(linéairement_séparable).csv')),
             learningRate: 1.0,
             maxEpochs: 100,
             synapticWeightsProvider: new ZeroSynapticWeights,