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[Utility & Helpers](/categories/utility) 4. / 5. mpescador1/php-mt ActiveLibrary[Utility & Helpers](/categories/utility) mpescador1/php-mt ================= PHP-ML - Machine Learning library for PHP v0.4.1(4y ago)07MITPHPPHP >=7.0.0 Since Sep 27Pushed 4y ago1 watchersCompare [ Source](https://github.com/mpescador1/php-mt)[ Packagist](https://packagist.org/packages/mpescador1/php-mt)[ Docs](https://github.com/php-ai/php-ml)[ RSS](/packages/mpescador1-php-mt/feed)WikiDiscussions main Synced 1mo ago READMEChangelog (1)Dependencies (1)Versions (2)Used By (0) PHP-ML - Machine Learning library for PHP ========================================= [](#php-ml---machine-learning-library-for-php) [![Minimum PHP Version](https://camo.githubusercontent.com/5c3072425e67297c8ef63d17acd2c86a0d2ef324f19249f2280bd7de902f63a2/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f7068702d253345253344253230372e302d3838393242462e737667)](https://php.net/)[![Latest Stable Version](https://camo.githubusercontent.com/e22dd29f73bf361e53b3f6e7a04fe6a6d9d63eb6e1aace085e042bf0af6c4a90/68747470733a2f2f696d672e736869656c64732e696f2f7061636b61676973742f762f7068702d61692f7068702d6d6c2e737667)](https://packagist.org/packages/php-ai/php-ml)[![Build Status](https://camo.githubusercontent.com/bd9c590b13a89ace085ef4e1df470312e247f58ac11639f85b500ed53615d81c/68747470733a2f2f7363727574696e697a65722d63692e636f6d2f672f7068702d61692f7068702d6d6c2f6261646765732f6275696c642e706e673f623d646576656c6f70)](https://scrutinizer-ci.com/g/php-ai/php-ml/build-status/develop)[![Documentation Status](https://camo.githubusercontent.com/f5dba9d7890a5374a8e29ef9d6b9c20ea697f3ae1e7fd30be43a5e0b678d4aa1/68747470733a2f2f72656164746865646f63732e6f72672f70726f6a656374732f7068702d6d6c2f62616467652f3f76657273696f6e3d6d6173746572)](http://php-ml.readthedocs.org/)[![Total Downloads](https://camo.githubusercontent.com/5520b32bf7f297eff12f576b02e8f42b90fb18475c758e400cd473af81c9746a/68747470733a2f2f706f7365722e707567782e6f72672f7068702d61692f7068702d6d6c2f646f776e6c6f6164732e737667)](https://packagist.org/packages/php-ai/php-ml)[![License](https://camo.githubusercontent.com/976b950a432a2a11bad43aaab3afc222b6d27eaf53f8ab507f1c104c6e47c0d6/68747470733a2f2f706f7365722e707567782e6f72672f7068702d61692f7068702d6d6c2f6c6963656e73652e737667)](https://packagist.org/packages/php-ai/php-ml)[![Scrutinizer Code Quality](https://camo.githubusercontent.com/3cd8971fd3c2c7a71609f729b4a4b3897fdb29a7cd777a415c58f58c97f9f71b/68747470733a2f2f7363727574696e697a65722d63692e636f6d2f672f7068702d61692f7068702d6d6c2f6261646765732f7175616c6974792d73636f72652e706e673f623d646576656c6f70)](https://scrutinizer-ci.com/g/php-ai/php-ml/?branch=develop) [![PHP-ML - Machine Learning library for PHP](docs/assets/php-ml-logo.png)](docs/assets/php-ml-logo.png) Fresh approach to Machine Learning in PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library. PHP-ML requires PHP >= 7.0. Simple example of classification: ``` use Phpml\Classification\KNearestNeighbors; $samples = [[1, 3], [1, 4], [2, 4], [3, 1], [4, 1], [4, 2]]; $labels = ['a', 'a', 'a', 'b', 'b', 'b']; $classifier = new KNearestNeighbors(); $classifier->train($samples, $labels); $classifier->predict([3, 2]); // return 'b' ``` Documentation ------------- [](#documentation) To find out how to use PHP-ML follow [Documentation](http://php-ml.readthedocs.org/). Installation ------------ [](#installation) Currently this library is in the process of developing, but You can install it with Composer: ``` composer require php-ai/php-ml ``` Examples -------- [](#examples) Example scripts are available in a separate repository [php-ai/php-ml-examples](https://github.com/php-ai/php-ml-examples). Features -------- [](#features) - Association rule learning - [Apriori](http://php-ml.readthedocs.io/en/latest/machine-learning/association/apriori/) - Classification - [SVC](http://php-ml.readthedocs.io/en/latest/machine-learning/classification/svc/) - [k-Nearest Neighbors](http://php-ml.readthedocs.io/en/latest/machine-learning/classification/k-nearest-neighbors/) - [Naive Bayes](http://php-ml.readthedocs.io/en/latest/machine-learning/classification/naive-bayes/) - Decision Tree (CART) - Ensemble Algorithms - Bagging (Bootstrap Aggregating) - Random Forest - AdaBoost - Linear - Adaline - Decision Stump - Perceptron - Regression - [Least Squares](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/least-squares/) - [SVR](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/svr/) - Clustering - [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means/) - [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan/) - Metric - [Accuracy](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/accuracy/) - [Confusion Matrix](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/confusion-matrix/) - [Classification Report](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/classification-report/) - Workflow - [Pipeline](http://php-ml.readthedocs.io/en/latest/machine-learning/workflow/pipeline) - Neural Network - [Multilayer Perceptron](http://php-ml.readthedocs.io/en/latest/machine-learning/neural-network/multilayer-perceptron/) - [Backpropagation training](http://php-ml.readthedocs.io/en/latest/machine-learning/neural-network/backpropagation/) - Cross Validation - [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split/) - [Stratified Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/stratified-random-split/) - Preprocessing - [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization/) - [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values/) - Feature Extraction - [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer/) - [Tf-idf Transformer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/tf-idf-transformer/) - Datasets - [Array](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/array-dataset/) - [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset/) - [Files](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/files-dataset/) - Ready to use: - [Iris](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/iris/) - [Wine](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/wine/) - [Glass](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/glass/) - Models management - [Persistency](http://php-ml.readthedocs.io/en/latest/machine-learning/model-manager/persistency/) - Math - [Distance](http://php-ml.readthedocs.io/en/latest/math/distance/) - [Matrix](http://php-ml.readthedocs.io/en/latest/math/matrix/) - [Set](http://php-ml.readthedocs.io/en/latest/math/set/) - [Statistic](http://php-ml.readthedocs.io/en/latest/math/statistic/) Contribute ---------- [](#contribute) - [Issue Tracker: github.com/php-ai/php-ml](https://github.com/php-ai/php-ml/issues) - [Source Code: github.com/php-ai/php-ml](https://github.com/php-ai/php-ml) You can find more about contributing in [CONTRIBUTING.md](CONTRIBUTING.md). License ------- [](#license) PHP-ML is released under the MIT Licence. See the bundled LICENSE file for details. Author ------ [](#author) Arkadiusz Kondas (@ArkadiuszKondas) ### Health Score 18 — LowBetter than 8% of packages Maintenance20 Infrequent updates — may be unmaintained Popularity4 Limited adoption so far Community7 Small or concentrated contributor base Maturity35 Early-stage or recently created project Bus Factor1 Top contributor holds 100% of commits — single point of failure How is this calculated?**Maintenance (25%)** — Last commit recency, latest release date, and issue-to-star ratio. Uses a 2-year decay window. **Popularity (30%)** — Total and monthly downloads, GitHub stars, and forks. Logarithmic scaling prevents top-heavy scores. **Community (15%)** — Contributors, dependents, forks, watchers, and maintainers. Measures real ecosystem engagement. **Maturity (30%)** — Project age, version count, PHP version support, and release stability. ### Release Activity Cadence Unknown Total 1 Last Release 1694d ago ### Community Maintainers ![](https://avatars.githubusercontent.com/u/56395851?v=4)[mpescador1](/maintainers/mpescador1)[@mpescador1](https://github.com/mpescador1) --- Top Contributors [![mpescador1](https://avatars.githubusercontent.com/u/56395851?v=4)](https://github.com/mpescador1 "mpescador1 (9 commits)") --- Tags machine learningartificial intelligenceneural-networkdata sciencefeature extractionpattern recognitioncomputational learning theory ### Code Quality TestsPHPUnit ### Embed Badge ![Health badge](/badges/mpescador1-php-mt/health.svg) ``` [![Health](https://phpackages.com/badges/mpescador1-php-mt/health.svg)](https://phpackages.com/packages/mpescador1-php-mt) ``` ### Alternatives [php-ai/php-ml PHP-ML - Machine Learning library for PHP 1061.7M12](/packages/php-ai-php-ml)[rubix/ml A high-level machine learning and deep learning library for the PHP language. 2.2k1.4M28](/packages/rubix-ml)[nlp-tools/nlp-tools NlpTools is a set of php 5.3+ classes for beginner to semi advanced natural language processing work. 774645.2k5](/packages/nlp-tools-nlp-tools)[codewithkyrian/transformers State-of-the-art Machine Learning for PHP. 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