Use correct naming for iteration and epoch

app/Models/SimpleBinaryPerceptronTraining.php

@@ -4,8 +4,8 @@ namespace App\Models;
 
 use App\Events\PerceptronTrainingEnded;
 use App\Services\DataSetReader;
+use App\Services\IPerceptronIterationEventBuffer;
 use App\Services\ISynapticWeightsProvider;
-use App\Services\PerceptronIterationEventBuffer;
 
 class SimpleBinaryPerceptronTraining extends NetworkTraining
 {
@@ -19,25 +19,25 @@ class SimpleBinaryPerceptronTraining extends NetworkTraining
     public function __construct(
         DataSetReader $datasetReader,
         protected float $learningRate,
-        int $maxIterations,
+        int $maxEpochs,
         protected ISynapticWeightsProvider $synapticWeightsProvider,
-        PerceptronIterationEventBuffer $iterationEventBuffer,
+        IPerceptronIterationEventBuffer $iterationEventBuffer,
         string $sessionId,
         string $trainingId,
     ) {
-        parent::__construct($datasetReader, $maxIterations, $iterationEventBuffer, $sessionId, $trainingId);
+        parent::__construct($datasetReader, $maxEpochs, $iterationEventBuffer, $sessionId, $trainingId);
         $this->perceptron = new SimpleBinaryPerceptron($synapticWeightsProvider->generate($datasetReader->getInputSize()));
     }
 
     public function start(): void
     {
-        $this->iteration = 0;
+        $this->epoch = 0;
         $error = 0;
         do {
             $this->iterationErrorCounter = 0;
-            $this->iteration++;
+            $this->epoch++;
 
-            while ($nextRow = $this->datasetReader->getRandomLine()) {
+            while ($nextRow = $this->datasetReader->getNextLine()) {
                 $inputs = array_slice($nextRow, 0, -1);
                 $correctOutput = (float) end($nextRow);
                 $correctOutput = $correctOutput > 0 ? 1 : 0; // Modify labels for non binary datasets
@@ -48,7 +48,7 @@ class SimpleBinaryPerceptronTraining extends NetworkTraining
                 $this->addIterationToBuffer($error, [[$this->perceptron->getSynapticWeights()]]);
             }
             $this->datasetReader->reset(); // Reset the dataset for the next iteration
-        } while ($this->iteration < $this->maxIterations && !$this->stopCondition());
+        } while ($this->epoch < $this->maxEpochs && !$this->stopCondition());
 
         $this->iterationEventBuffer->flush(); // Ensure all iterations are sent to the frontend