MonoLayer Perceptron

app/Services/DatasetReader/IDataSetReader.php

@@ -8,6 +8,10 @@ interface IDataSetReader
 
     public function getInputSize(): int;
 
+    public function getOutputSize(): int;
+
+    public function getLabels(): array;
+
     public function reset(): void;
 
     public function getLastReadLineIndex(): int;

app/Services/DatasetReader/LinearOrderDataSetReader.php

@@ -49,6 +49,19 @@ class LinearOrderDataSetReader implements IDataSetReader
         return count($this->lines[0]) - 1; // Don't count the label
     }
 
+    public function getOutputSize(): int
+    {
+        // Count the number of unique labels in the dataset
+        $labels = array_map(fn ($line) => end($line), $this->lines);
+        return count(array_unique($labels));
+    }
+
+    public function getLabels(): array
+    {
+        $labels = array_map(fn ($line) => end($line), $this->lines);
+        return array_values(array_unique($labels));
+    }
+
     public function reset(): void
     {
         $this->currentLines = $this->lines;

app/Services/DatasetReader/RandomOrderDataSetReader.php

@@ -55,6 +55,19 @@ class RandomOrderDataSetReader implements IDataSetReader
         return count($this->lines[0]) - 1; // Don't count the label
     }
 
+    public function getOutputSize(): int
+    {
+        // Count the number of unique labels in the dataset
+        $labels = array_map(fn ($line) => end($line), $this->lines);
+        return count(array_unique($labels));
+    }
+
+    public function getLabels(): array
+    {
+        $labels = array_map(fn ($line) => end($line), $this->lines);
+        return array_values(array_unique($labels));
+    }
+
     public function reset(): void
     {
         $this->currentLines = $this->lines;

app/Services/SynapticWeightsProvider/INetworkSynapticWeightsProvider.php

@@ -0,0 +1,8 @@
+<?php
+
+namespace App\Services\SynapticWeightsProvider;
+
+interface INetworkSynapticWeightsProvider
+{
+    public function generate(int $input_size, int $output_size, int $hidden_layers_count, int $hidden_layers_neurons_count): array;
+}

app/Services/SynapticWeightsProvider/SimpleNetworkWeightsProvider.php

@@ -0,0 +1,35 @@
+<?php
+
+namespace App\Services\SynapticWeightsProvider;
+
+use App\Services\SynapticWeightsProvider\INetworkSynapticWeightsProvider;
+
+class SimpleNetworkWeightsProvider implements INetworkSynapticWeightsProvider
+{
+    public function __construct(
+        private ISynapticWeightsProvider $synapticWeightsProvider,
+    ) {
+    }
+
+    public function generate(int $input_size, int $output_size, int $hidden_layers_count, int $hidden_layers_neurons_count): array
+    {
+        $synaptic_weights = [];
+        $lastLayerSize = $input_size;
+
+        // Generate Hidden Layer weights
+        for ($hiddenLayerNeuronIndex = 0; $hiddenLayerNeuronIndex < $hidden_layers_count; $hiddenLayerNeuronIndex++) {
+            for ($neuronIndex = 0; $neuronIndex < $hidden_layers_neurons_count; $neuronIndex++) {
+                $synaptic_weights[] = $this->synapticWeightsProvider->generate($lastLayerSize);
+            }
+            $lastLayerSize = $hidden_layers_neurons_count;
+        }
+
+        // Generate Output Layer weights
+        $synaptic_weights[] = [];
+        for ($outputNeuronIndex = 0; $outputNeuronIndex < $output_size; $outputNeuronIndex++) {
+            $synaptic_weights[count($synaptic_weights) -1][] = $this->synapticWeightsProvider->generate($lastLayerSize);
+        }
+
+        return $synaptic_weights;
+    }
+}