Add no_unused_imports rule to cs-fixer

.php_cs

@@ -7,6 +7,7 @@ return PhpCsFixer\Config::create()
         'array_syntax' => ['syntax' => 'short'],
         'blank_line_after_opening_tag' => true,
         'single_blank_line_before_namespace' => true,
+        'no_unused_imports' => true
     ])
     ->setFinder(
         PhpCsFixer\Finder::create()

src/Phpml/Classification/Ensemble/Bagging.php

@@ -6,10 +6,8 @@
 
 use Phpml\Helper\Predictable;
 use Phpml\Helper\Trainable;
-use Phpml\Math\Statistic\Mean;
 use Phpml\Classification\Classifier;
 use Phpml\Classification\DecisionTree;
-use Phpml\Classification\NaiveBayes;
 
 class Bagging implements Classifier
 {

src/Phpml/Classification/Ensemble/RandomForest.php

@@ -4,9 +4,7 @@
 
 namespace Phpml\Classification\Ensemble;
 
-use Phpml\Classification\Ensemble\Bagging;
 use Phpml\Classification\DecisionTree;
-use Phpml\Classification\NaiveBayes;
 use Phpml\Classification\Classifier;
 
 class RandomForest extends Bagging

src/Phpml/Classification/Linear/Adaline.php

@@ -4,10 +4,7 @@
 
 namespace Phpml\Classification\Linear;
 
-use Phpml\Helper\Predictable;
-use Phpml\Helper\Trainable;
 use Phpml\Classification\Classifier;
-use Phpml\Classification\Linear\Perceptron;
 
 class Adaline extends Perceptron
 {

src/Phpml/Classification/Linear/Perceptron.php

@@ -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/WeightedClassifier.php

@@ -1,8 +1,8 @@
-<?php declare(strict_types=1);
+<?php
 
-namespace Phpml\Classification;
+declare(strict_types=1);
 
-use Phpml\Classification\Classifier;
+namespace Phpml\Classification;
 
 abstract class WeightedClassifier implements Classifier
 {

tests/Phpml/Classification/Ensemble/BaggingTest.php

@@ -7,7 +7,6 @@
 use Phpml\Classification\Ensemble\Bagging;
 use Phpml\Classification\DecisionTree;
 use Phpml\Classification\NaiveBayes;
-use Phpml\Classification\KNearestNeighbors;
 use Phpml\ModelManager;
 use PHPUnit\Framework\TestCase;
 

tests/Phpml/Classification/Ensemble/RandomForestTest.php

@@ -7,9 +7,6 @@
 use Phpml\Classification\Ensemble\RandomForest;
 use Phpml\Classification\DecisionTree;
 use Phpml\Classification\NaiveBayes;
-use Phpml\Classification\KNearestNeighbors;
-use Phpml\ModelManager;
-use tests\Classification\Ensemble\BaggingTest;
 
 class RandomForestTest extends BaggingTest
 {