robotomize / regression-php

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();
+    }
 }