diff --git a/src/Pipeline.php b/src/Pipeline.php
index 480a9800..d57da87f 100644
--- a/src/Pipeline.php
+++ b/src/Pipeline.php
@@ -54,7 +54,7 @@ public function getEstimator(): Estimator
     public function train(array $samples, array $targets): void
     {
         foreach ($this->transformers as $transformer) {
-            $transformer->fit($samples);
+            $transformer->fit($samples, $targets);
             $transformer->transform($samples);
         }
 
diff --git a/tests/PipelineTest.php b/tests/PipelineTest.php
index 86ff2a9f..6f1562c7 100644
--- a/tests/PipelineTest.php
+++ b/tests/PipelineTest.php
@@ -7,6 +7,8 @@
 use Phpml\Classification\SVC;
 use Phpml\FeatureExtraction\TfIdfTransformer;
 use Phpml\FeatureExtraction\TokenCountVectorizer;
+use Phpml\FeatureSelection\ScoringFunction\ANOVAFValue;
+use Phpml\FeatureSelection\SelectKBest;
 use Phpml\ModelManager;
 use Phpml\Pipeline;
 use Phpml\Preprocessing\Imputer;
@@ -106,6 +108,18 @@ public function testPipelineTransformers(): void
         $this->assertEquals($expected, $predicted);
     }
 
+    public function testPipelineTransformersWithTargets() : void
+    {
+        $samples = [[1, 2, 1], [1, 3, 4], [5, 2, 1], [1, 3, 3], [1, 3, 4], [0, 3, 5]];
+        $targets = ['a', 'a', 'a', 'b', 'b', 'b'];
+
+        $pipeline = new Pipeline([$selector = new SelectKBest(2)], new SVC());
+        $pipeline->train($samples, $targets);
+
+        self::assertEquals([1.47058823, 4.0, 3.0], $selector->scores(), '', 0.00000001);
+        self::assertEquals(['b'], $pipeline->predict([[1, 3, 5]]));
+    }
+
     public function testSaveAndRestore(): void
     {
         $pipeline = new Pipeline([