test_run.php

<?php
/**
 * Simple test runner to verify all ML components work correctly
 * Run this to make sure everything is implemented correctly
 */

// Enable error reporting
error_reporting(E_ALL);
ini_set('display_errors', 1);

echo "Machine Learning in PHP - Component Test Runner\n";
echo str_repeat("=", 60) . "\n\n";

// Test 1: Linear Algebra
echo "Testing Linear Algebra Components...\n";
require_once 'src/LinearAlgebra/Vector.php';
require_once 'src/LinearAlgebra/Matrix.php';

try {
    $v1 = new MLPyHP\LinearAlgebra\Vector([1, 2, 3]);
    $v2 = new MLPyHP\LinearAlgebra\Vector([4, 5, 6]);
    $dotProduct = $v1->dotProduct($v2);
    echo "✓ Vector operations working (dot product: {$dotProduct})\n";
    
    $m1 = new MLPyHP\LinearAlgebra\Matrix([[1, 2], [3, 4]]);
    $m2 = new MLPyHP\LinearAlgebra\Matrix([[5, 6], [7, 8]]);
    $result = $m1->multiply($m2);
    echo "✓ Matrix operations working\n";
} catch (Exception $e) {
    echo "✗ Linear Algebra Error: " . $e->getMessage() . "\n";
}

// Test 2: Algorithms
echo "\nTesting Algorithm Components...\n";
require_once 'src/Algorithms/Sorting.php';
require_once 'src/Algorithms/Searching.php';

try {
    $data = [3, 1, 4, 1, 5, 9, 2, 6];
    $sorted = MLPyHP\Algorithms\Sorting::bubbleSort($data);
    echo "✓ Sorting algorithms working\n";
    
    $index = MLPyHP\Algorithms\Searching::binarySearch($sorted, 5);
    echo "✓ Search algorithms working (found 5 at index {$index})\n";
} catch (Exception $e) {
    echo "✗ Algorithm Error: " . $e->getMessage() . "\n";
}

// Test 3: Data Processing
echo "\nTesting Data Processing Components...\n";
require_once 'src/DataProcessing/DataCleaner.php';

try {
    $messyData = [
        ['value' => 10],
        ['value' => null],
        ['value' => 30]
    ];
    $cleaned = MLPyHP\DataProcessing\DataCleaner::handleMissingValues($messyData, 'mean');
    echo "✓ Data cleaning working\n";
    
    $outliers = MLPyHP\DataProcessing\DataCleaner::detectOutliers([1, 2, 3, 100]);
    echo "✓ Outlier detection working (found " . count($outliers) . " outliers)\n";
} catch (Exception $e) {
    echo "✗ Data Processing Error: " . $e->getMessage() . "\n";
}

// Test 4: Neural Network Components
echo "\nTesting Neural Network Components...\n";
require_once 'src/NeuralNetwork/Perceptron.php';
require_once 'src/NeuralNetwork/NeuralNetwork.php';
require_once 'src/NeuralNetwork/LossFunctions.php';

try {
    // Test Perceptron
    $perceptron = new MLPyHP\NeuralNetwork\Perceptron(2, 0.1, 'step');
    $prediction = $perceptron->predict([1, 0]);
    echo "✓ Perceptron working (prediction: {$prediction})\n";
    
    // Test Neural Network
    $network = new MLPyHP\NeuralNetwork\NeuralNetwork([2, 3, 1]);
    $output = $network->forwardPropagate([0.5, 0.8]);
    echo "✓ Neural Network working (output: " . number_format($output[0], 4) . ")\n";
    
    // Test Loss Functions
    $mse = MLPyHP\NeuralNetwork\LossFunctions::meanSquaredError([0.8], [0.9]);
    echo "✓ Loss Functions working (MSE: " . number_format($mse, 4) . ")\n";
} catch (Exception $e) {
    echo "✗ Neural Network Error: " . $e->getMessage() . "\n";
}

// Test 5: Complete Example
echo "\nTesting Complete Example...\n";
try {
    require_once 'src/Examples/CompleteExample.php';
    echo "✓ Complete example loaded successfully\n";
    echo "✓ All components integrated properly\n";
} catch (Exception $e) {
    echo "✗ Complete Example Error: " . $e->getMessage() . "\n";
}

echo "\n" . str_repeat("=", 60) . "\n";
echo "Component testing complete!\n";
echo "Run 'php src/Examples/CompleteExample.php' for full demonstration.\n";
echo str_repeat("=", 60) . "\n";