Some bugfixes and misc

app/Models/NetworksTraining/MonoLayerPerceptronTraining.php

@@ -20,6 +20,7 @@ class MonoLayerPerceptronTraining extends NetworkTraining
     private array $labels;
 
     public ActivationsFunctions $activationFunction = ActivationsFunctions::LINEAR;
+
     public ?ActivationsFunctions $presentationLayerActivationFunction = ActivationsFunctions::STEP;
 
     private float $epochError;
@@ -62,7 +63,7 @@ class MonoLayerPerceptronTraining extends NetworkTraining
             while ($nextRow = $this->datasetReader->getNextLine()) {
                 $inputsForCurrentEpoch[] = $nextRow;
                 $inputs = array_slice($nextRow, 0, -1);
-                $correctOutput = (int) end($nextRow);
+                $correctOutput = (float) end($nextRow);
 
                 $iterationError = $this->iterationFunction($inputs, $correctOutput);
 
@@ -108,7 +109,7 @@ class MonoLayerPerceptronTraining extends NetworkTraining
         return $condition;
     }
 
-    private function iterationFunction(array $inputs, int $correctOutput): array
+    private function iterationFunction(array $inputs, float $correctOutput): array
     {
         $outputs = $this->network->test($inputs);
         $desiredOutput = $this->getDesiredOutputFromCorrectOutput($correctOutput);
@@ -137,10 +138,10 @@ class MonoLayerPerceptronTraining extends NetworkTraining
         return [$updatedWeights];
     }
 
-    private function getDesiredOutputFromCorrectOutput(int $correctOutput): array
+    private function getDesiredOutputFromCorrectOutput(float $correctOutput): array
     {
         $desiredOutput = array_fill(0, count($this->labels), -1);
-        $labelIndex = Arr::first(array_keys($this->labels), fn($key) => $this->labels[$key] == $correctOutput);
+        $labelIndex = Arr::first(array_keys($this->labels), fn ($key) => $this->labels[$key] == $correctOutput);
         if ($labelIndex !== null) {
             $desiredOutput[$labelIndex] = 1;
         }