mirror of
https://github.com/Llewellynvdm/php-ml.git
synced 2025-02-10 07:58:57 +00:00
726cf4cddf
* travis: move coveralls here, decouple from package * composer: use PSR4 * phpunit: simpler config * travis: add ecs run * composer: add ecs dev * use standard vendor/bin directory for dependency bins, confuses with local bins and require gitignore handling * ecs: add PSR2 * [cs] PSR2 spacing fixes * [cs] PSR2 class name fix * [cs] PHP7 fixes - return semicolon spaces, old rand functions, typehints * [cs] fix less strict typehints * fix typehints to make tests pass * ecs: ignore typehint-less elements * [cs] standardize arrays * [cs] standardize docblock, remove unused comments * [cs] use self where possible * [cs] sort class elements, from public to private * [cs] do not use yoda (found less yoda-cases, than non-yoda) * space * [cs] do not assign in condition * [cs] use namespace imports if possible * [cs] use ::class over strings * [cs] fix defaults for arrays properties, properties and constants single spacing * cleanup ecs comments * [cs] use item per line in multi-items array * missing line * misc * rebase
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 >= 7.0.
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);
echo $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 being developed, 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 learning
- Classification
- SVC
- k-Nearest Neighbors
- Naive Bayes
- Decision Tree (CART)
- Ensemble Algorithms
- Bagging (Bootstrap Aggregating)
- Random Forest
- AdaBoost
- Linear
- Adaline
- Decision Stump
- Perceptron
- LogisticRegression
- Regression
- Clustering
- Metric
- Workflow
- Neural Network
- Cross Validation
- Preprocessing
- Feature Extraction
- Dimensionality Reduction
- PCA (Principal Component Analysis)
- Kernel PCA
- LDA (Linear Discriminant Analysis)
- Datasets
- Models management
- Math
Contribute
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)