@@ -91,7 +91,7 @@ |
||
| 91 | 91 | } |
| 92 | 92 | |
| 93 | 93 | /** |
| 94 | - * @param $column |
|
| 94 | + * @param integer $column |
|
| 95 | 95 | * |
| 96 | 96 | * @return array |
| 97 | 97 | * |
@@ -128,7 +128,7 @@ |
||
| 128 | 128 | } |
| 129 | 129 | |
| 130 | 130 | /** |
| 131 | - * @return mixed |
|
| 131 | + * @return integer |
|
| 132 | 132 | */ |
| 133 | 133 | public function count() |
| 134 | 134 | { |
@@ -17,7 +17,7 @@ discard block |
||
| 17 | 17 | protected $dimension; |
| 18 | 18 | |
| 19 | 19 | /** |
| 20 | - * @param $dimension |
|
| 20 | + * @param integer $dimension |
|
| 21 | 21 | */ |
| 22 | 22 | public function __construct($dimension) |
| 23 | 23 | { |
@@ -225,7 +225,7 @@ discard block |
||
| 225 | 225 | /** |
| 226 | 226 | * @param int $clustersNumber |
| 227 | 227 | * |
| 228 | - * @return array |
|
| 228 | + * @return Cluster[] |
|
| 229 | 229 | */ |
| 230 | 230 | protected function initializeKMPPClusters(int $clustersNumber) |
| 231 | 231 | { |
@@ -52,7 +52,7 @@ |
||
| 52 | 52 | * If normalizeInputs is set to true, then every input given to the algorithm will be standardized |
| 53 | 53 | * by use of standard deviation and mean calculation |
| 54 | 54 | * |
| 55 | - * @param int $learningRate |
|
| 55 | + * @param double $learningRate |
|
| 56 | 56 | * @param int $maxIterations |
| 57 | 57 | */ |
| 58 | 58 | public function __construct(float $learningRate = 0.001, int $maxIterations = 1000, |
@@ -4,8 +4,6 @@ |
||
| 4 | 4 | |
| 5 | 5 | namespace Phpml\Classification\Linear; |
| 6 | 6 | |
| 7 | -use Phpml\Classification\Classifier; |
|
| 8 | - |
|
| 9 | 7 | class Adaline extends Perceptron |
| 10 | 8 | { |
| 11 | 9 | |
@@ -75,7 +75,7 @@ |
||
| 75 | 75 | * |
| 76 | 76 | * Learning rate should be a float value between 0.0(exclusive) and 1.0(inclusive) <br> |
| 77 | 77 | * Maximum number of iterations can be an integer value greater than 0 |
| 78 | - * @param int $learningRate |
|
| 78 | + * @param double $learningRate |
|
| 79 | 79 | * @param int $maxIterations |
| 80 | 80 | */ |
| 81 | 81 | public function __construct(float $learningRate = 0.001, int $maxIterations = 1000, |
@@ -226,7 +226,7 @@ |
||
| 226 | 226 | /** |
| 227 | 227 | * |
| 228 | 228 | * @param type $leftValue |
| 229 | - * @param type $operator |
|
| 229 | + * @param string $operator |
|
| 230 | 230 | * @param type $rightValue |
| 231 | 231 | * |
| 232 | 232 | * @return boolean |