linear regression is also hard

src/Phpml/Classifier/SupportVectorMachine.php

@@ -34,9 +34,9 @@ class SupportVectorMachine implements Classifier
 
     /**
      * @param Kernel $kernel
-     * @param float $C
-     * @param float $tolerance
-     * @param int $upperBound
+     * @param float  $C
+     * @param float  $tolerance
+     * @param int    $upperBound
      */
     public function __construct(Kernel $kernel = null, float $C = 1.0, float $tolerance = .001, int $upperBound = 100)
     {

src/Phpml/Math/Kernel.php

@@ -1,17 +1,16 @@
 <?php
-declare(strict_types = 1);
+
+declare (strict_types = 1);
 
 namespace Phpml\Math;
 
 interface Kernel
 {
-
     /**
      * @param float $a
      * @param float $b
      *
      * @return float
      */
     public function compute($a, $b);
-
 }

src/Phpml/Math/Kernel/RBF.php

@@ -1,5 +1,6 @@
 <?php
-declare(strict_types = 1);
+
+declare (strict_types = 1);
 
 namespace Phpml\Math\Kernel;
 
@@ -35,5 +36,4 @@ public function compute($a, $b)
 
         return $result;
     }
-
 }

src/Phpml/Math/Product.php

@@ -1,11 +1,11 @@
 <?php
-declare(strict_types = 1);
+
+declare (strict_types = 1);
 
 namespace Phpml\Math;
 
 class Product
 {
-
     /**
      * @param array $a
      * @param array $b
@@ -21,5 +21,4 @@ public static function scalar(array $a, array $b)
 
         return $product;
     }
-
 }

src/Phpml/Regression/LeastSquares.php

@@ -0,0 +1,37 @@
+<?php
+
+declare (strict_types = 1);
+
+namespace Phpml\Regression;
+
+class LeastSquares implements Regression
+{
+    /**
+     * @var array
+     */
+    private $features;
+
+    /**
+     * @var array
+     */
+    private $targets;
+
+    /**
+     * @param array $features
+     * @param array $targets
+     */
+    public function train(array $features, array $targets)
+    {
+        $this->features = $features;
+        $this->targets = $targets;
+    }
+
+    /**
+     * @param array $features
+     *
+     * @return mixed
+     */
+    public function predict(array $features)
+    {
+    }
+}

src/Phpml/Regression/Regression.php

@@ -0,0 +1,21 @@
+<?php
+
+declare (strict_types = 1);
+
+namespace Phpml\Regression;
+
+interface Regression
+{
+    /**
+     * @param array $features
+     * @param array $targets
+     */
+    public function train(array $features, array $targets);
+
+    /**
+     * @param array $features
+     *
+     * @return mixed
+     */
+    public function predict(array $features);
+}

tests/Phpml/Math/Kernel/RBFTest.php

@@ -1,13 +1,13 @@
 <?php
-declare(strict_types = 1);
+
+declare (strict_types = 1);
 
 namespace test\Phpml\Math\Kernel;
 
 use Phpml\Math\Kernel\RBF;
 
 class RBFTest extends \PHPUnit_Framework_TestCase
 {
-
     public function testComputeRBFKernelFunction()
     {
         $rbf = new RBF($gamma = 0.001);
@@ -22,5 +22,4 @@ public function testComputeRBFKernelFunction()
         $this->assertEquals(0.00451, $rbf->compute([1, 2, 3], [4, 5, 6]), '', $delta = 0.0001);
         $this->assertEquals(0, $rbf->compute([4, 5], [1, 100]));
     }
-
 }

tests/Phpml/Math/ProductTest.php

@@ -1,18 +1,17 @@
 <?php
-declare(strict_types = 1);
+
+declare (strict_types = 1);
 
 namespace tests\Phpml\Math;
 
 use Phpml\Math\Product;
 
 class ProductTest extends \PHPUnit_Framework_TestCase
 {
-
     public function testScalarProduct()
     {
         $this->assertEquals(10, Product::scalar([2, 3], [-1, 4]));
         $this->assertEquals(-0.1, Product::scalar([1, 4, 1], [-2, 0.5, -0.1]));
         $this->assertEquals(8, Product::scalar([2], [4]));
     }
-
-}
+}