Fix coding style and composer.lock

composer.json

@@ -80,7 +80,7 @@
             "@test",
             "@check"
         ],
-        "analyze": "phpstan analyse -c phpstan.neon",
+        "analyze": "phpstan analyse -c phpstan.neon --memory-limit 1G",
         "benchmark": "phpbench run --report=aggregate",
         "check": [
             "@putenv PHP_CS_FIXER_IGNORE_ENV=1",

src/AnomalyDetectors/LocalOutlierFactor.php

@@ -104,7 +104,7 @@ class LocalOutlierFactor implements Estimator, Learner, Scoring, Persistable
     /**
      * @param int $k
      * @param float|null $contamination
-     * @param \Rubix\ML\Graph\Trees\Spatial|null $tree
+     * @param Spatial|null $tree
      * @throws InvalidArgumentException
      */
     public function __construct(int $k = 20, ?float $contamination = null, ?Spatial $tree = null)

src/AnomalyDetectors/Loda.php

@@ -98,7 +98,7 @@ class Loda implements Estimator, Learner, Online, Scoring, Persistable
     /**
      * The sparse random projection matrix.
      *
-     * @var \Tensor\Matrix|null
+     * @var Matrix|null
      */
     protected ?Matrix $r = null;
 

src/AnomalyDetectors/OneClassSVM.php

@@ -56,13 +56,13 @@ class OneClassSVM implements Estimator, Learner
     /**
      * The trained model instance.
      *
-     * @var \svmmodel|null
+     * @var svmmodel|null
      */
     protected ?svmmodel $model = null;
 
     /**
      * @param float $nu
-     * @param \Rubix\ML\Kernels\SVM\Kernel|null $kernel
+     * @param Kernel|null $kernel
      * @param bool $shrinking
      * @param float $tolerance
      * @param float $cacheSize

src/Classifiers/AdaBoost.php

@@ -145,7 +145,7 @@ class AdaBoost implements Estimator, Learner, Probabilistic, Verbose, Persistabl
     protected ?int $featureCount = null;
 
     /**
-     * @param \Rubix\ML\Learner|null $base
+     * @param Learner|null $base
      * @param float $rate
      * @param float $ratio
      * @param int $epochs

src/Classifiers/KDNeighbors.php

@@ -81,7 +81,7 @@ class KDNeighbors implements Estimator, Learner, Probabilistic, Persistable
     /**
      * @param int $k
      * @param bool $weighted
-     * @param \Rubix\ML\Graph\Trees\Spatial|null $tree
+     * @param Spatial|null $tree
      * @throws InvalidArgumentException
      */
     public function __construct(int $k = 5, bool $weighted = false, ?Spatial $tree = null)

src/Classifiers/KNearestNeighbors.php

@@ -94,7 +94,7 @@ class KNearestNeighbors implements Estimator, Learner, Online, Probabilistic, Pe
     /**
      * @param int $k
      * @param bool $weighted
-     * @param \Rubix\ML\Kernels\Distance\Distance|null $kernel
+     * @param Distance|null $kernel
      * @throws InvalidArgumentException
      */
     public function __construct(int $k = 5, bool $weighted = false, ?Distance $kernel = null)

src/Classifiers/LogisticRegression.php

@@ -108,7 +108,7 @@ class LogisticRegression implements Estimator, Learner, Online, Probabilistic, R
     /**
      * The underlying neural network instance.
      *
-     * @var \Rubix\ML\NeuralNet\FeedForward|null
+     * @var FeedForward|null
      */
     protected ?FeedForward $network = null;
 
@@ -128,12 +128,12 @@ class LogisticRegression implements Estimator, Learner, Online, Probabilistic, R
 
     /**
      * @param int $batchSize
-     * @param \Rubix\ML\NeuralNet\Optimizers\Optimizer|null $optimizer
+     * @param Optimizer|null $optimizer
      * @param float $l2Penalty
      * @param int $epochs
      * @param float $minChange
      * @param int $window
-     * @param \Rubix\ML\NeuralNet\CostFunctions\ClassificationLoss|null $costFn
+     * @param ClassificationLoss|null $costFn
      * @throws InvalidArgumentException
      */
     public function __construct(
@@ -267,7 +267,7 @@ public function losses() : ?array
     /**
      * Return the underlying neural network instance or null if not trained.
      *
-     * @return \Rubix\ML\NeuralNet\FeedForward|null
+     * @return FeedForward|null
      */
     public function network() : ?FeedForward
     {

src/Classifiers/LogitBoost.php

@@ -176,14 +176,14 @@ class LogitBoost implements Estimator, Learner, Probabilistic, RanksFeatures, Ve
     protected ?int $featureCount = null;
 
     /**
-     * @param \Rubix\ML\Learner|null $booster
+     * @param Learner|null $booster
      * @param float $rate
      * @param float $ratio
      * @param int $epochs
      * @param float $minChange
      * @param int $window
      * @param float $holdOut
-     * @param \Rubix\ML\CrossValidation\Metrics\Metric|null $metric
+     * @param Metric|null $metric
      * @throws InvalidArgumentException
      */
     public function __construct(

src/Classifiers/MultilayerPerceptron.php

@@ -139,7 +139,7 @@ class MultilayerPerceptron implements Estimator, Learner, Online, Probabilistic,
     /**
      * The underlying neural network instance.
      *
-     * @var \Rubix\ML\NeuralNet\FeedForward|null
+     * @var FeedForward|null
      */
     protected ?FeedForward $network = null;
 
@@ -167,14 +167,14 @@ class MultilayerPerceptron implements Estimator, Learner, Online, Probabilistic,
     /**
      * @param \Rubix\ML\NeuralNet\Layers\Hidden[] $hiddenLayers
      * @param int $batchSize
-     * @param \Rubix\ML\NeuralNet\Optimizers\Optimizer|null $optimizer
+     * @param Optimizer|null $optimizer
      * @param float $l2Penalty
      * @param int $epochs
      * @param float $minChange
      * @param int $window
      * @param float $holdOut
-     * @param \Rubix\ML\NeuralNet\CostFunctions\ClassificationLoss|null $costFn
-     * @param \Rubix\ML\CrossValidation\Metrics\Metric|null $metric
+     * @param ClassificationLoss|null $costFn
+     * @param Metric|null $metric
      * @throws InvalidArgumentException
      */
     public function __construct(
@@ -344,7 +344,7 @@ public function losses() : ?array
     /**
      * Return the underlying neural network instance or null if not trained.
      *
-     * @return \Rubix\ML\NeuralNet\FeedForward|null
+     * @return FeedForward|null
      */
     public function network() : ?FeedForward
     {

src/Classifiers/RadiusNeighbors.php

@@ -89,7 +89,7 @@ class RadiusNeighbors implements Estimator, Learner, Probabilistic, Persistable
      * @param float $radius
      * @param bool $weighted
      * @param string $outlierClass
-     * @param \Rubix\ML\Graph\Trees\Spatial|null $tree
+     * @param Spatial|null $tree
      * @throws InvalidArgumentException
      */
     public function __construct(

src/Classifiers/RandomForest.php

@@ -118,7 +118,7 @@ class RandomForest implements Estimator, Learner, Probabilistic, Parallel, Ranks
     protected ?int $featureCount = null;
 
     /**
-     * @param \Rubix\ML\Learner|null $base
+     * @param Learner|null $base
      * @param int $estimators
      * @param float $ratio
      * @param bool $balanced

src/Classifiers/SVC.php

@@ -58,7 +58,7 @@ class SVC implements Estimator, Learner
     /**
      * The trained model instance.
      *
-     * @var \svmmodel|null
+     * @var svmmodel|null
      */
     protected $model;
 
@@ -73,7 +73,7 @@ class SVC implements Estimator, Learner
 
     /**
      * @param float $c
-     * @param \Rubix\ML\Kernels\SVM\Kernel|null $kernel
+     * @param Kernel|null $kernel
      * @param bool $shrinking
      * @param float $tolerance
      * @param float $cacheSize

src/Classifiers/SoftmaxClassifier.php

@@ -104,7 +104,7 @@ class SoftmaxClassifier implements Estimator, Learner, Online, Probabilistic, Ve
     /**
      * The underlying neural network instance.
      *
-     * @var \Rubix\ML\NeuralNet\FeedForward|null
+     * @var FeedForward|null
      */
     protected ?FeedForward $network = null;
 
@@ -124,12 +124,12 @@ class SoftmaxClassifier implements Estimator, Learner, Online, Probabilistic, Ve
 
     /**
      * @param int $batchSize
-     * @param \Rubix\ML\NeuralNet\Optimizers\Optimizer|null $optimizer
+     * @param Optimizer|null $optimizer
      * @param float $l2Penalty
      * @param int $epochs
      * @param float $minChange
      * @param int $window
-     * @param \Rubix\ML\NeuralNet\CostFunctions\ClassificationLoss|null $costFn
+     * @param ClassificationLoss|null $costFn
      * @throws InvalidArgumentException
      */
     public function __construct(
@@ -263,7 +263,7 @@ public function losses() : ?array
     /**
      * Return the underlying neural network instance or null if not trained.
      *
-     * @return \Rubix\ML\NeuralNet\FeedForward|null
+     * @return FeedForward|null
      */
     public function network() : ?FeedForward
     {

src/Clusterers/DBSCAN.php

@@ -78,7 +78,7 @@ class DBSCAN implements Estimator
     /**
      * @param float $radius
      * @param int $minDensity
-     * @param \Rubix\ML\Graph\Trees\Spatial|null $tree
+     * @param Spatial|null $tree
      * @throws InvalidArgumentException
      */
     public function __construct(float $radius = 0.5, int $minDensity = 5, ?Spatial $tree = null)

src/Clusterers/FuzzyCMeans.php

@@ -122,8 +122,8 @@ class FuzzyCMeans implements Estimator, Learner, Probabilistic, Verbose, Persist
      * @param float $fuzz
      * @param int $epochs
      * @param float $minChange
-     * @param \Rubix\ML\Kernels\Distance\Distance|null $kernel
-     * @param Seeders\Seeder|null $seeder
+     * @param Distance|null $kernel
+     * @param Seeder|null $seeder
      * @throws InvalidArgumentException
      */
     public function __construct(

src/Clusterers/GaussianMixture.php

@@ -138,7 +138,7 @@ class GaussianMixture implements Estimator, Learner, Probabilistic, Verbose, Per
      * @param float $smoothing
      * @param int $epochs
      * @param float $minChange
-     * @param Seeders\Seeder|null $seeder
+     * @param Seeder|null $seeder
      * @throws InvalidArgumentException
      */
     public function __construct(

src/Clusterers/KMeans.php

@@ -136,8 +136,8 @@ class KMeans implements Estimator, Learner, Online, Probabilistic, Verbose, Pers
      * @param int $epochs
      * @param float $minChange
      * @param int $window
-     * @param \Rubix\ML\Kernels\Distance\Distance|null $kernel
-     * @param Seeders\Seeder|null $seeder
+     * @param Distance|null $kernel
+     * @param Seeder|null $seeder
      * @throws InvalidArgumentException
      */
     public function __construct(

src/Clusterers/MeanShift.php

@@ -139,7 +139,7 @@ class MeanShift implements Estimator, Learner, Probabilistic, Verbose, Persistab
      *
      * @param Dataset $dataset
      * @param float $percentile
-     * @param \Rubix\ML\Kernels\Distance\Distance|null $kernel
+     * @param Distance|null $kernel
      * @throws InvalidArgumentException
      * @return float
      */
@@ -175,8 +175,8 @@ public static function estimateRadius(
      * @param float $ratio
      * @param int $epochs
      * @param float $minShift
-     * @param \Rubix\ML\Graph\Trees\Spatial|null $tree
-     * @param Seeders\Seeder|null $seeder
+     * @param Spatial|null $tree
+     * @param Seeder|null $seeder
      * @throws InvalidArgumentException
      */
     public function __construct(

src/Clusterers/Seeders/KMC2.php

@@ -43,7 +43,7 @@ class KMC2 implements Seeder
 
     /**
      * @param int $m
-     * @param \Rubix\ML\Kernels\Distance\Distance|null $kernel
+     * @param Distance|null $kernel
      * @throws InvalidArgumentException
      */
     public function __construct(int $m = 50, ?Distance $kernel = null)

src/Clusterers/Seeders/PlusPlus.php

@@ -36,7 +36,7 @@ class PlusPlus implements Seeder
     protected Distance $kernel;
 
     /**
-     * @param \Rubix\ML\Kernels\Distance\Distance|null $kernel
+     * @param Distance|null $kernel
      */
     public function __construct(?Distance $kernel = null)
     {

src/Datasets/Generators/Blob.php

@@ -37,7 +37,7 @@ class Blob implements Generator
     /**
      * The standard deviation of the blob.
      *
-     * @var \Tensor\Vector|int|float
+     * @var Vector|int|float
      */
     protected $stdDev;
 

src/Graph/Nodes/Traits/HasBinaryChildrenTrait.php

@@ -21,14 +21,14 @@ trait HasBinaryChildrenTrait
     /**
      * The left child node.
      *
-     * @var \Rubix\ML\Graph\Nodes\BinaryNode|null
+     * @var BinaryNode|null
      */
     protected ?BinaryNode $left = null;
 
     /**
      * The right child node.
      *
-     * @var \Rubix\ML\Graph\Nodes\BinaryNode|null
+     * @var BinaryNode|null
      */
     protected ?BinaryNode $right = null;
 
@@ -51,7 +51,7 @@ public function children() : Traversable
     /**
      * Return the left child node.
      *
-     * @return \Rubix\ML\Graph\Nodes\BinaryNode|null
+     * @return BinaryNode|null
      */
     public function left() : ?BinaryNode
     {
@@ -61,7 +61,7 @@ public function left() : ?BinaryNode
     /**
      * Return the right child node.
      *
-     * @return \Rubix\ML\Graph\Nodes\BinaryNode|null
+     * @return BinaryNode|null
      */
     public function right() : ?BinaryNode
     {
@@ -95,7 +95,7 @@ public function balance() : int
     /**
      * Set the left child node.
      *
-     * @param \Rubix\ML\Graph\Nodes\BinaryNode|null $node
+     * @param BinaryNode|null $node
      */
     public function attachLeft(?BinaryNode $node = null) : void
     {
@@ -105,7 +105,7 @@ public function attachLeft(?BinaryNode $node = null) : void
     /**
      * Set the right child node.
      *
-     * @param \Rubix\ML\Graph\Nodes\BinaryNode|null $node
+     * @param BinaryNode|null $node
      */
     public function attachRight(?BinaryNode $node = null) : void
     {

src/Graph/Trees/BallTree.php

@@ -52,13 +52,13 @@ class BallTree implements BinaryTree, Spatial
     /**
      * The root node of the tree.
      *
-     * @var \Rubix\ML\Graph\Nodes\Ball|null
+     * @var Ball|null
      */
     protected ?Ball $root = null;
 
     /**
      * @param int $maxLeafSize
-     * @param \Rubix\ML\Kernels\Distance\Distance|null $kernel
+     * @param Distance|null $kernel
      * @throws InvalidArgumentException
      */
     public function __construct(int $maxLeafSize = 30, ?Distance $kernel = null)

src/Graph/Trees/DecisionTree.php

@@ -65,7 +65,7 @@ abstract class DecisionTree implements BinaryTree, IteratorAggregate
     /**
      * The root node of the tree.
      *
-     * @var \Rubix\ML\Graph\Nodes\Split|null
+     * @var Split|null
      */
     protected ?Split $root = null;
 
@@ -242,7 +242,7 @@ public function grow(Labeled $dataset) : void
      * @internal
      *
      * @param list<string|int|float> $sample
-     * @return \Rubix\ML\Graph\Nodes\Outcome|null
+     * @return Outcome|null
      */
     public function search(array $sample) : ?Outcome
     {