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PHP Machine Learning library
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* ability to specify per-layer activation function * some tests for new addition to layer * appease style CI whitespace issue * more flexible addition of layers, and developer can pass Layer object in manually * new test for layer object in mlp constructor * documentation for added MLP functionality |
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CHANGELOG.md | ||
composer.json | ||
composer.lock | ||
CONTRIBUTING.md | ||
easy-coding-standard.neon | ||
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mkdocs.yml | ||
phpstan.neon | ||
phpunit.xml | ||
README.md |
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);
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)