remove unused exception

CHANGELOG.md

@@ -3,10 +3,15 @@ CHANGELOG
 
 This changelog references the relevant changes done in PHP-ML library.
 
-* 0.1.2 (in plan/progress)
+* 0.1.3 (in plan/progress)
+    * SSE, SSTo, SSR [Regression] - sum of the squared
+    * 
+
+* 0.1.2 (2016-07-24)
     * feature [Dataset] - FilesDataset - load dataset from files (folder names as targets)
     * feature [Metric] - ClassificationReport - report about trained classifier
     * bug [Feature Extraction] - fix problem with token count vectorizer array order
+    * tests [General] - add more tests for specific conditions
 
 * 0.1.1 (2016-07-12)
     * feature [Cross Validation] Stratified Random Split - equal distribution for targets in split

src/Phpml/Exception/NormalizerException.php

@@ -13,12 +13,5 @@ class NormalizerException extends \Exception
     {
         return new self('Unknown norm supplied.');
     }
-
-    /**
-     * @return NormalizerException
-     */
-    public static function fitNotAllowed()
-    {
-        return new self('Fit is not allowed for this preprocessor.');
-    }
+    
 }

tests/Phpml/PipelineTest.php

@@ -10,6 +10,7 @@ use Phpml\Pipeline;
 use Phpml\Preprocessing\Imputer;
 use Phpml\Preprocessing\Normalizer;
 use Phpml\Preprocessing\Imputer\Strategy\MostFrequentStrategy;
+use Phpml\Regression\SVR;
 
 class PipelineTest extends \PHPUnit_Framework_TestCase
 {
@@ -26,6 +27,16 @@ class PipelineTest extends \PHPUnit_Framework_TestCase
         $this->assertEquals($estimator, $pipeline->getEstimator());
     }
 
+    public function testPipelineEstimatorSetter()
+    {
+        $pipeline = new Pipeline([new TfIdfTransformer()], new SVC());
+
+        $estimator = new SVR();
+        $pipeline->setEstimator($estimator);
+
+        $this->assertEquals($estimator, $pipeline->getEstimator());
+    }
+
     public function testPipelineWorkflow()
     {
         $transformers = [