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‎.github/workflows/ci.yml

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@@ -9,7 +9,7 @@ jobs:
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strategy:
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matrix:
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operating-system: [windows-latest, ubuntu-latest, macos-latest]
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php-versions: ['8.0', '8.1', '8.2']
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php-versions: ['8.4']
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steps:
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- name: Checkout

‎composer.json

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@@ -21,7 +21,7 @@
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"svm", "text mining", "tf-idf", "tf idf", "t-sne", "tsne", "unsupervised learning"
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],
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"authors": [
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{
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{
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"name": "Andrew DalPino",
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"homepage": "https://github.com/andrewdalpino"
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},
@@ -31,32 +31,32 @@
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}
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],
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"require": {
34-
"php": ">=8.0",
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"php": ">=8.4",
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"ext-json": "*",
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"ext-numpower": ">=0.6",
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"amphp/parallel": "^1.3",
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"andrewdalpino/okbloomer": "^1.0",
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"numpower/numpower": "^0.6",
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"psr/log": "^1.1|^2.0|^3.0",
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"rubix/tensor": "^3.0",
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"symfony/polyfill-mbstring": "^1.0",
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"symfony/polyfill-php81": "^1.26",
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"symfony/polyfill-php82": "^1.27",
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"symfony/polyfill-php83": "^1.27",
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"wamania/php-stemmer": "^3.0"
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},
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"require-dev": {
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"friendsofphp/php-cs-fixer": "^3.0",
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"phpbench/phpbench": "^1.0",
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"phpstan/extension-installer": "^1.0",
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"phpstan/phpstan": "^1.0",
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"phpstan/phpstan-phpunit": "^1.0",
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"phpunit/phpunit": "^9.0",
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"phpstan/phpstan": "^2.0",
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"phpstan/phpstan-phpunit": "^2.0",
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"phpunit/phpunit": "^11.0",
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"swoole/ide-helper": "^5.1"
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},
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"suggest": {
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"ext-tensor": "For fast Matrix/Vector computing",
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"ext-gd": "For image support",
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"ext-mbstring": "For fast multibyte string manipulation",
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"ext-svm": "For Support Vector Machine engine (libsvm)"
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"ext-svm": "For support Vector Machine engine (libsvm)",
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"ext-swoole": "For support Swoole runner"
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},
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"autoload": {
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"psr-4": {

‎phpunit.xml

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<phpunit
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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backupGlobals="false"
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backupStaticAttributes="false"
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bootstrap="vendor/autoload.php"
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colors="true"
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convertErrorsToExceptions="true"
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convertNoticesToExceptions="true"
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convertWarningsToExceptions="true"
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forceCoversAnnotation="true"
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displayDetailsOnTestsThatTriggerDeprecations="true"
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displayDetailsOnTestsThatTriggerNotices="true"
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displayDetailsOnTestsThatTriggerWarnings="true"
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displayDetailsOnTestsThatTriggerErrors="true"
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displayDetailsOnSkippedTests="true"
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processIsolation="true"
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stopOnFailure="false"
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testdox="true"
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xsi:noNamespaceSchemaLocation="https://schema.phpunit.de/9.3/phpunit.xsd"
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>
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<coverage processUncoveredFiles="true">
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<source>
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<include>
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<directory suffix=".php">src</directory>
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</include>
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</coverage>
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</source>
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<testsuites>
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<testsuite name="Base">
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<directory>tests</directory>
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</testsuite>
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<testsuite name="Anomaly Detectors">
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<directory>tests/AnomalyDetectors</directory>
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</testsuite>
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<testsuite name="Backends">
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<directory>tests/Backends</directory>
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</testsuite>
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<testsuite name="Base">
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<directory>tests/Base</directory>
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</testsuite>
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<testsuite name="Classifiers">
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<directory>tests/Classifiers</directory>
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</testsuite>
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<testsuite name="Loggers">
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<directory>tests/Loggers</directory>
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</testsuite>
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<testsuite name="Neural Net">
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<testsuite name="NeuralNet">
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<directory>tests/NeuralNet</directory>
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</testsuite>
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<testsuite name="Persisters">
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<testsuite name="Regressors">
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<directory>tests/Regressors</directory>
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</testsuite>
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<testsuite name="Serializers">
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<directory>tests/Serializers</directory>
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</testsuite>
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<testsuite name="Specifications">
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<directory>tests/Specifications</directory>
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</testsuite>
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<testsuite name="Strategies">
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<directory>tests/Strategies</directory>
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</testsuite>
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<testsuite name="Tokenizers">
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<directory>tests/Transformers</directory>
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<directory>tests/Tokenizers</directory>
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</testsuite>
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<testsuite name="Transformers">
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<directory>tests/Transformers</directory>

‎src/AnomalyDetectors/GaussianMLE.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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*/
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public function compatibility() : array
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{

‎src/AnomalyDetectors/IsolationForest.php

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/**
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* The isolation trees that make up the forest.
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*
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* @var \Rubix\ML\Graph\Trees\ITree[]
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* @var ITree[]
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*/
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protected array $trees = [
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//
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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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*/
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public function compatibility() : array
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{

‎src/AnomalyDetectors/Loda.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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*/
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public function compatibility() : array
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{

‎src/AnomalyDetectors/OneClassSVM.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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*/
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public function compatibility() : array
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{

‎src/AnomalyDetectors/RobustZScore.php

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*
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* @internal
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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*/
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public function compatibility() : array
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{

‎src/Backends/Amp.php

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* @param AmpTask $task
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* @param callable(mixed,mixed):void $after
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* @param mixed $context
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* @return \Generator<\Amp\Promise>
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* @return Generator<\Amp\Promise>
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*/
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public function coroutine(AmpTask $task, ?callable $after = null, mixed $context = null) : Generator
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*
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* @internal
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*
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* @return \Generator<\Amp\Promise>
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* @return Generator<\Amp\Promise>
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public function gather() : Generator
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{

‎src/Backends/Swoole.php

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use Swoole\Atomic;
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use Swoole\Process;
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use function Swoole\Coroutine\run;
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/**
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* Swoole
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*
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$currentCpu = ($currentCpu + 1) % $this->cpus;
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}
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run(function () use ($maxMessageLength, &$results, $workerProcesses) {
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Coroutine::run(function () use ($maxMessageLength, &$results, $workerProcesses) {
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foreach ($workerProcesses as $index => $workerProcess) {
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$status = $workerProcess->wait();
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‎src/BootstrapAggregator.php

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/**
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* The ensemble of estimators.
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*
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* @var list<\Rubix\ML\Learner>
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* @var list<Learner>
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*/
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protected array $ensemble = [
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//
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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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public function compatibility() : array
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{

‎src/Classifiers/AdaBoost.php

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/**
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*
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* @var \Rubix\ML\Learner[]|null
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* @var Learner[]|null
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*/
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protected ?array $ensemble = null;
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/**
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* Return an iterable progress table with the steps from the last training session.
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*
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* @return \Generator<mixed[]>
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* @return Generator<mixed[]>
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*/
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public function steps() : Generator
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{

‎src/Classifiers/ClassificationTree.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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*/
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public function compatibility() : array
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‎src/Classifiers/ExtraTreeClassifier.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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public function compatibility() : array
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‎src/Classifiers/GaussianNB.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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*/
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public function compatibility() : array
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{

‎src/Classifiers/LogisticRegression.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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*/
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public function compatibility() : array
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{
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/**
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* Return an iterable progress table with the steps from the last training session.
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*
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* @return \Generator<mixed[]>
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* @return Generator<mixed[]>
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public function steps() : Generator
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‎src/Classifiers/LogitBoost.php

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/**
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*
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* @return \Generator<mixed[]>
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* @return Generator<mixed[]>
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public function steps() : Generator
327327
{

‎src/Classifiers/MultilayerPerceptron.php

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6969
/**
7070
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7171
*
72-
* @var \Rubix\ML\NeuralNet\Layers\Hidden[]
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* @var Hidden[]
7373
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7474
protected array $hiddenLayers;
7575

@@ -165,7 +165,7 @@ class MultilayerPerceptron implements Estimator, Learner, Online, Probabilistic,
165165
protected ?array $losses = null;
166166

167167
/**
168-
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168+
* @param Hidden[] $hiddenLayers
169169
* @param int $batchSize
170170
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* @param int $epochs
@@ -259,7 +259,7 @@ public function type() : EstimatorType
259259
*
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* @internal
261261
*
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263263
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public function compatibility() : array
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{
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304304
/**
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* Return an iterable progress table with the steps from the last training session.
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* @return \Generator<mixed[]>
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public function steps() : Generator
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‎src/Classifiers/NaiveBayes.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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public function compatibility() : array
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‎src/Classifiers/OneVsRest.php

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5656
/**
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* A map of each class to its binary classifier.
5858
*
59-
* @var array<\Rubix\ML\Learner>
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* @var array<Learner>
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protected array $classifiers = [
6262
//

‎src/Classifiers/SVC.php

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*
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* @internal
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*
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* @return list<\Rubix\ML\DataType>
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* @return list<DataType>
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public function compatibility() : array
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{

‎src/Classifiers/SoftmaxClassifier.php

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*
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* @internal
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*/
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public function compatibility() : array
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{
@@ -234,7 +234,7 @@ public function trained() : bool
234234
/**
235235
* Return an iterable progress table with the steps from the last training session.
236236
*
237-
* @return \Generator<mixed[]>
237+
* @return Generator<mixed[]>
238238
*/
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public function steps() : Generator
240240
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