php-ai / php-ml

src/Phpml/Clustering/KMeans/Cluster.php

Doc Comments +1 added lines, -1 removed lines

@@ -128,7 +128,7 @@
     }
 
     /**
-     * @return mixed
+     * @return integer
      */
     public function count()
     {

src/Phpml/Clustering/KMeans/Space.php

Doc Comments +2 added lines, -2 removed lines

@@ -17,7 +17,7 @@ 
     protected $dimension;
 
     /**
-     * @param $dimension
+     * @param integer $dimension
      */
     public function __construct($dimension)
     {
@@ -225,7 +225,7 @@ 
     /**
      * @param int $clustersNumber
      *
-     * @return array
+     * @return Cluster[]
      */
     protected function initializeKMPPClusters(int $clustersNumber)
     {

src/Phpml/Classification/Linear/Adaline.php

Doc Comments +1 added lines, -1 removed lines

@@ -52,7 +52,7 @@
      * If normalizeInputs is set to true, then every input given to the algorithm will be standardized
      * by use of standard deviation and mean calculation
      *
-     * @param int $learningRate
+     * @param double $learningRate
      * @param int $maxIterations
      */
     public function __construct(float $learningRate = 0.001, int $maxIterations = 1000,

Unused Use Statements -2 removed lines

@@ -4,8 +4,6 @@
 
 namespace Phpml\Classification\Linear;
 
-use Phpml\Classification\Classifier;
-
 class Adaline extends Perceptron
 {
 

src/Phpml/Classification/Linear/Perceptron.php

Doc Comments +1 added lines, -1 removed lines

@@ -75,7 +75,7 @@
      *
      * Learning rate should be a float value between 0.0(exclusive) and 1.0(inclusive) <br>
      * Maximum number of iterations can be an integer value greater than 0
-     * @param int $learningRate
+     * @param double $learningRate
      * @param int $maxIterations
      */
     public function __construct(float $learningRate = 0.001, int $maxIterations = 1000,

src/Phpml/Classification/Linear/DecisionStump.php

Doc Comments +1 added lines, -1 removed lines

@@ -226,7 +226,7 @@
     /**
      *
      * @param type $leftValue
-     * @param type $operator
+     * @param string $operator
      * @param type $rightValue
      *
      * @return boolean

src/Phpml/Classification/Linear/LogisticRegression.php

Unused Use Statements -1 removed lines

@@ -4,7 +4,6 @@
 
 namespace Phpml\Classification\Linear;
 
-use Phpml\Classification\Classifier;
 use Phpml\Helper\Optimizer\ConjugateGradient;
 
 class LogisticRegression extends Adaline

src/Phpml/Math/Matrix.php

Doc Comments +2 added lines, -2 removed lines

@@ -106,7 +106,7 @@ 
     }
 
     /**
-     * @param $column
+     * @param integer $column
      *
      * @return array
      *
@@ -278,7 +278,7 @@ 
      * Element-wise addition or substraction depending on the given sign parameter
      *
      * @param Matrix $other
-     * @param type $sign
+     * @param integer $sign
      */
     protected function _add(Matrix $other, $sign = 1)
     {

src/Phpml/Math/Statistic/Covariance.php

Doc Comments -1 removed lines

@@ -60,7 +60,6 @@
      * @param int $i
      * @param int $k
      * @param type $sample
-     * @param int $n
      * @param float $meanX
      * @param float $meanY
      */

src/Phpml/DimensionReduction/LDA.php

Unused Use Statements -1 removed lines

@@ -5,7 +5,6 @@
 namespace Phpml\DimensionReduction;
 
 
-use Phpml\Math\Statistic\Mean;
 use Phpml\Math\Matrix;
 
 class LDA extends EigenTransformerBase