mirror of
https://github.com/Llewellynvdm/php-ml.git
synced 2024-11-29 00:06:31 +00:00
a348111e97
* tests: update to PHPUnit 6.0 with rector * fix namespaces on tests * composer + tests: use standard test namespace naming * update travis * resolve conflict * phpstan lvl 2 * phpstan lvl 3 * phpstan lvl 4 * phpstan lvl 5 * phpstan lvl 6 * phpstan lvl 7 * level max * resolve conflict * [cs] clean empty docs * composer: bump to PHPUnit 6.4 * cleanup * composer + travis: add phpstan * phpstan lvl 1 * composer: update dev deps * phpstan fixes * update Contributing with new tools * docs: link fixes, PHP version update * composer: drop php-cs-fixer, cs already handled by ecs * ecs: add old set rules * [cs] apply rest of rules
4.7 KiB
4.7 KiB
PHP-ML - Machine Learning library for PHP
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 >= 7.1.
Simple example of classification:
require_once __DIR__ . '/vendor/autoload.php';
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
To find out how to use PHP-ML follow Documentation.
Installation
Currently this library is in the process of developing, but You can install it with Composer:
composer require php-ai/php-ml
Examples
Example scripts are available in a separate repository php-ai/php-ml-examples.
Features
- Association rule Lerning
- Classification
- Regression
- Clustering
- Metric
- Workflow
- Neural Network
- Cross Validation
- Preprocessing
- Feature Extraction
- Datasets
- Models management
- Math
Contribute
- Issue Tracker: github.com/php-ai/php-ml/issues
- Source Code: github.com/php-ai/php-ml
You can find more about contributing in CONTRIBUTING.md.
License
PHP-ML is released under the MIT Licence. See the bundled LICENSE file for details.
Author
Arkadiusz Kondas (@ArkadiuszKondas)