php-ai / php-ml

src/Phpml/Math/Matrix.php

Doc Comments +1 added lines, -1 removed lines

@@ -91,7 +91,7 @@
     }
 
     /**
-     * @param $column
+     * @param integer $column
      *
      * @return array
      *

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/DecisionTree.php

Doc Comments +1 added lines, -3 removed lines

@@ -166,7 +166,7 @@ 
 
     /**
      * @param array $records
-     * @return DecisionTreeLeaf[]
+     * @return null|DecisionTreeLeaf
      */
     protected function getBestSplit($records)
     {
@@ -354,7 +354,6 @@ 
      * each column in the given dataset. The importance values are
      * normalized and their total makes 1.<br/>
      *
-     * @param array $labels
      * @return array
      */
     public function getFeatureImportances()
@@ -394,7 +393,6 @@ 
      *
      * @param int $column
      * @param DecisionTreeLeaf
-     * @param array $collected
      *
      * @return array
      */

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,

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