php-ai / php-ml

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/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,

Unused Use Statements -1 removed lines

@@ -5,7 +5,6 @@
 namespace Phpml\Classification\Linear;
 
 use Phpml\Helper\Predictable;
-use Phpml\Helper\Trainable;
 use Phpml\Classification\Classifier;
 use Phpml\Preprocessing\Normalizer;
 

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