Update PHP version and dependencies

.github/workflows/ci.yml

@@ -9,7 +9,7 @@ jobs:
     strategy:
       matrix:
         operating-system: [windows-latest, ubuntu-latest, macos-latest]
-        php-versions: ['8.0', '8.1', '8.2']
+        php-versions: ['8.4']
 
     steps:
       - name: Checkout
@@ -24,9 +24,10 @@ jobs:
           ini-values: memory_limit=-1
 
       - name: Install OpenBLAS
+        if: matrix.operating-system == 'ubuntu-latest'
         run: |
-          apt-get update -q
-          apt-get install -qy libopenblas-dev
+          sudo apt-get update -q
+          sudo apt-get install -qy libopenblas-dev liblapacke-dev
 
       - name: Install NumPower
         run: |
@@ -35,8 +36,8 @@ jobs:
           phpize
           ./configure
           make
-          make install
-          echo "extension=ndarray.so" >> $(php -i | grep "Loaded Configuration File" | sed -e "s|.*=>\s*||")
+          sudo make install
+          sudo echo "extension=ndarray.so" >> $(php -i | grep "Loaded Configuration File" | sed -e "s|.*=>\s*||")
 
       - name: Validate composer.json
         run: composer validate

benchmarks/AnomalyDetectors/GaussianMLEBench.php

@@ -5,31 +5,23 @@
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\AnomalyDetectors\GaussianMLE;
 use Rubix\ML\Datasets\Generators\Agglomerate;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"AnomalyDetectors"})
  * @BeforeMethods({"setUp"})
  */
 class GaussianMLEBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var GaussianMLE
-     */
-    protected $estimator;
+    protected GaussianMLE $estimator;
 
     public function setUp() : void
     {

benchmarks/AnomalyDetectors/IsolationForestBench.php

@@ -5,31 +5,23 @@
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\Datasets\Generators\Agglomerate;
 use Rubix\ML\AnomalyDetectors\IsolationForest;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"AnomalyDetectors"})
  * @BeforeMethods({"setUp"})
  */
 class IsolationForestBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var IsolationForest
-     */
-    protected $estimator;
+    protected IsolationForest $estimator;
 
     public function setUp() : void
     {

benchmarks/AnomalyDetectors/LocalOutlierFactorBench.php

@@ -5,31 +5,23 @@
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\AnomalyDetectors\LocalOutlierFactor;
 use Rubix\ML\Datasets\Generators\Agglomerate;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"AnomalyDetectors"})
  * @BeforeMethods({"setUp"})
  */
 class LocalOutlierFactorBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var LocalOutlierFactor
-     */
-    protected $estimator;
+    protected LocalOutlierFactor $estimator;
 
     public function setUp() : void
     {

benchmarks/AnomalyDetectors/LodaBench.php

@@ -5,31 +5,23 @@
 use Rubix\ML\AnomalyDetectors\Loda;
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\Datasets\Generators\Agglomerate;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"AnomalyDetectors"})
  * @BeforeMethods({"setUp"})
  */
 class LodaBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var Loda
-     */
-    protected $estimator;
+    protected Loda $estimator;
 
     public function setUp() : void
     {

benchmarks/AnomalyDetectors/OneClassSVMBench.php

@@ -5,31 +5,23 @@
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\AnomalyDetectors\OneClassSVM;
 use Rubix\ML\Datasets\Generators\Agglomerate;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"AnomalyDetectors"})
  * @BeforeMethods({"setUp"})
  */
 class OneClassSVMBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var OneClassSVM
-     */
-    protected $estimator;
+    protected OneClassSVM $estimator;
 
     public function setUp() : void
     {

benchmarks/AnomalyDetectors/RobustZScoreBench.php

@@ -5,31 +5,23 @@
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\AnomalyDetectors\RobustZScore;
 use Rubix\ML\Datasets\Generators\Agglomerate;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"AnomalyDetectors"})
  * @BeforeMethods({"setUp"})
  */
 class RobustZScoreBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var RobustZScore
-     */
-    protected $estimator;
+    protected RobustZScore $estimator;
 
     public function setUp() : void
     {

benchmarks/Classifiers/AdaBoostBench.php

@@ -6,31 +6,23 @@
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\Classifiers\ClassificationTree;
 use Rubix\ML\Datasets\Generators\Agglomerate;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"Classifiers"})
  * @BeforeMethods({"setUp"})
  */
 class AdaBoostBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var AdaBoost
-     */
-    protected $estimator;
+    protected AdaBoost $estimator;
 
     public function setUp() : void
     {

benchmarks/Classifiers/ClassificationTreeBench.php

@@ -5,31 +5,23 @@
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\Classifiers\ClassificationTree;
 use Rubix\ML\Datasets\Generators\Agglomerate;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"Classifiers"})
  * @BeforeMethods({"setUp"})
  */
 class ClassificationTreeBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var ClassificationTree
-     */
-    protected $estimator;
+    protected ClassificationTree $estimator;
 
     public function setUp() : void
     {

benchmarks/Classifiers/ExtraTreeClassifierBench.php

@@ -5,31 +5,23 @@
 use Rubix\ML\Datasets\Generators\Blob;
 use Rubix\ML\Classifiers\ExtraTreeClassifier;
 use Rubix\ML\Datasets\Generators\Agglomerate;
+use Rubix\ML\Datasets\Labeled;
 
 /**
  * @Groups({"Classifiers"})
  * @BeforeMethods({"setUp"})
  */
 class ExtraTreeClassifierBench
 {
-    protected const TRAINING_SIZE = 10000;
+    protected const int TRAINING_SIZE = 10000;
 
-    protected const TESTING_SIZE = 10000;
+    protected const int TESTING_SIZE = 10000;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $training;
+    protected Labeled $training;
 
-    /**
-     * @var \Rubix\ML\Datasets\Labeled;
-     */
-    protected $testing;
+    protected Labeled $testing;
 
-    /**
-     * @var ExtraTreeClassifier
-     */
-    protected $estimator;
+    protected ExtraTreeClassifier $estimator;
 
     public function setUp() : void
     {