robotomize / regression-php

src/Regression/InterfaceRegression.php

Indentation +11 added lines, -11 removed lines

@@ -10,18 +10,18 @@
 interface InterfaceRegression
 {
 	
-	public function calculate();
+    public function calculate();
 
-	/**
-	 * @param array $data
-	 *
-	 * @return array
-	 */
-	public function setSourceSequence(array $data);
+    /**
+     * @param array $data
+     *
+     * @return array
+     */
+    public function setSourceSequence(array $data);
 
-	/**
-	 * @return RegressionModel
-	 */
-	public function getRegressionModel(): RegressionModel;
+    /**
+     * @return RegressionModel
+     */
+    public function getRegressionModel(): RegressionModel;
 
 }
\ No newline at end of file

src/Regression/RegressionFactory.php

Indentation +54 added lines, -54 removed lines

@@ -12,64 +12,64 @@
  */
 class RegressionFactory
 {
-	/**
-	 * @param array $data
-	 * @return RegressionModel
-	 * @throws TypeError
-	 */
-	public static function Linear(array $data): RegressionModel
-	{
-		return self::createContainer(LinearRegression::class, $data);
-	}
+    /**
+     * @param array $data
+     * @return RegressionModel
+     * @throws TypeError
+     */
+    public static function Linear(array $data): RegressionModel
+    {
+        return self::createContainer(LinearRegression::class, $data);
+    }
 
-	/**
-	 * @param array $data
-	 * @return RegressionModel
-	 * @throws TypeError
-	 */
-	public static function Exponential(array $data): RegressionModel
-	{
-		return self::createContainer(ExponentialRegression::class, $data);
-	}
+    /**
+     * @param array $data
+     * @return RegressionModel
+     * @throws TypeError
+     */
+    public static function Exponential(array $data): RegressionModel
+    {
+        return self::createContainer(ExponentialRegression::class, $data);
+    }
 
-	/**
-	 * @param array $data
-	 * @return RegressionModel
-	 * @throws TypeError
-	 */
-	public static function Logarithmic(array $data): RegressionModel
-	{
-		return self::createContainer(LogarithmicRegression::class, $data);
-	}
+    /**
+     * @param array $data
+     * @return RegressionModel
+     * @throws TypeError
+     */
+    public static function Logarithmic(array $data): RegressionModel
+    {
+        return self::createContainer(LogarithmicRegression::class, $data);
+    }
 
-	/**
-	 * @param array $data
-	 * @return RegressionModel
-	 * @throws TypeError
-	 */
-	public static function Power(array $data): RegressionModel
-	{
-		return self::createContainer(PowerRegression::class, $data);
-	}
+    /**
+     * @param array $data
+     * @return RegressionModel
+     * @throws TypeError
+     */
+    public static function Power(array $data): RegressionModel
+    {
+        return self::createContainer(PowerRegression::class, $data);
+    }
 
-	/**
-	 * @param string $className
-	 * @param array $data
-	 * @return InterfaceRegression
-	 * @throws TypeError
-	 */
-	protected static function createContainer(string $className, array $data): RegressionModel
-	{
-		/** @var InterfaceRegression $regressionObj */
-		$regressionObj = new $className();
+    /**
+     * @param string $className
+     * @param array $data
+     * @return InterfaceRegression
+     * @throws TypeError
+     */
+    protected static function createContainer(string $className, array $data): RegressionModel
+    {
+        /** @var InterfaceRegression $regressionObj */
+        $regressionObj = new $className();
 
-		if (!$regressionObj instanceof InterfaceRegression) {
-			throw new TypeError('the object' . $className .
-				'  is not compatible with the interface ' . InterfaceRegression::class);
-		}
+        if (!$regressionObj instanceof InterfaceRegression) {
+            throw new TypeError('the object' . $className .
+                '  is not compatible with the interface ' . InterfaceRegression::class);
+        }
 
-		$regressionObj->setSourceSequence($data);
-		$regressionObj->calculate();
-		return $regressionObj->getRegressionModel();
-	}
+        $regressionObj->setSourceSequence($data);
+        $regressionObj->calculate();
+        return $regressionObj->getRegressionModel();
+    }
 }
\ No newline at end of file

src/autoload.php

Indentation +15 added lines, -15 removed lines

@@ -1,21 +1,21 @@
 <?php
 
 spl_autoload_register(
-	function($className) {
-		$className = ltrim($className, '\\');
-		$fileName = '';
-		if ($lastNsPos = strripos($className, '\\')) {
-			$namespace = substr($className, 0, $lastNsPos);
-			$className = substr($className, $lastNsPos + 1);
-			$fileName = str_replace('\\', DIRECTORY_SEPARATOR, $namespace) . DIRECTORY_SEPARATOR;
-		}
-		$fileName = __DIR__ . DIRECTORY_SEPARATOR . $fileName . $className . '.php';
-		if (file_exists($fileName)) {
-			include $fileName;
-			return true;
-		}
-		return false;
-	}
+    function($className) {
+        $className = ltrim($className, '\\');
+        $fileName = '';
+        if ($lastNsPos = strripos($className, '\\')) {
+            $namespace = substr($className, 0, $lastNsPos);
+            $className = substr($className, $lastNsPos + 1);
+            $fileName = str_replace('\\', DIRECTORY_SEPARATOR, $namespace) . DIRECTORY_SEPARATOR;
+        }
+        $fileName = __DIR__ . DIRECTORY_SEPARATOR . $fileName . $className . '.php';
+        if (file_exists($fileName)) {
+            include $fileName;
+            return true;
+        }
+        return false;
+    }
 );
 
 ?>
\ No newline at end of file

src/Regression/LinearRegression.php

Indentation +46 added lines, -46 removed lines

@@ -10,54 +10,54 @@
  */
 class LinearRegression extends AbstractRegression implements InterfaceRegression
 {
-	/**
-	 * LinearRegression constructor.
-	 */
-	public function __construct()
-	{
-		$this->sumIndex = [0, 0, 0, 0, 0, 0];
-		$this->dimension = count($this->sumIndex);
-	}
-
-	/**
-	 * @throws RegressionException
-	 */
-	public function calculate()
-	{
-		if ($this->sourceSequence === null) {
-			throw new RegressionException('The input sequence is not set');
-		}
-
-		if (count($this->sourceSequence) < $this->dimension) {
-			throw new RegressionException('The dimension of the sequence of at least ' . $this->dimension);
-		}
-
-		$k = 0;
-
-		foreach ($this->sourceSequence as $k => $v) {
-			if ($v[1] !== null) {
-				$this->sumIndex[0] += $v[0];
-				$this->sumIndex[1] += $v[1];
-				$this->sumIndex[2] += $v[0] * $v[0];
-				$this->sumIndex[3] += $v[0] * $v[1];
-				$this->sumIndex[4] += $v[1] * $v[1];
-			}
-		}
-
-		$k += 1;
-
-		$gradient = ($k * $this->sumIndex[3] - $this->sumIndex[0] * $this->sumIndex[1]) /
-			($k * $this->sumIndex[2] - $this->sumIndex[0] * $this->sumIndex[0]);
+    /**
+     * LinearRegression constructor.
+     */
+    public function __construct()
+    {
+        $this->sumIndex = [0, 0, 0, 0, 0, 0];
+        $this->dimension = count($this->sumIndex);
+    }
+
+    /**
+     * @throws RegressionException
+     */
+    public function calculate()
+    {
+        if ($this->sourceSequence === null) {
+            throw new RegressionException('The input sequence is not set');
+        }
+
+        if (count($this->sourceSequence) < $this->dimension) {
+            throw new RegressionException('The dimension of the sequence of at least ' . $this->dimension);
+        }
+
+        $k = 0;
+
+        foreach ($this->sourceSequence as $k => $v) {
+            if ($v[1] !== null) {
+                $this->sumIndex[0] += $v[0];
+                $this->sumIndex[1] += $v[1];
+                $this->sumIndex[2] += $v[0] * $v[0];
+                $this->sumIndex[3] += $v[0] * $v[1];
+                $this->sumIndex[4] += $v[1] * $v[1];
+            }
+        }
+
+        $k += 1;
+
+        $gradient = ($k * $this->sumIndex[3] - $this->sumIndex[0] * $this->sumIndex[1]) /
+            ($k * $this->sumIndex[2] - $this->sumIndex[0] * $this->sumIndex[0]);
 		
-		$intercept = $this->sumIndex[1] / $k - $gradient * $this->sumIndex[0] / $k;
+        $intercept = $this->sumIndex[1] / $k - $gradient * $this->sumIndex[0] / $k;
 
-		foreach ($this->sourceSequence as $i => $val) {
-			$coordinate = [$val[0], $val[0] * $gradient + $intercept];
-			$this->resultSequence[] = $coordinate;
-		}
+        foreach ($this->sourceSequence as $i => $val) {
+            $coordinate = [$val[0], $val[0] * $gradient + $intercept];
+            $this->resultSequence[] = $coordinate;
+        }
 
-		$this->equation = 'y = ' .  round($gradient, 1) .  'x + ' . round($intercept, 1);
+        $this->equation = 'y = ' .  round($gradient, 1) .  'x + ' . round($intercept, 1);
 
-		$this->push();
-	}
+        $this->push();
+    }
 }