mirror of
https://github.com/Llewellynvdm/php-ml.git
synced 2024-11-24 13:57:33 +00:00
PHP Machine Learning library
fa87eca375
### Features * Works only with primitive types int, float, string * Implements set theortic operations union, intersection, complement * Modifies set by adding, removing elements * Implements \IteratorAggregate for use in loops ### Implementation details Based on array functions: * array_diff, * array_merge, * array_intersection, * array_unique, * array_values, * sort. ### Drawbacks * **Do not work with objects.** * Power set and Cartesian product returning array of Set |
||
|---|---|---|
| bin/libsvm | ||
| data | ||
| docs | ||
| src/Phpml | ||
| tests/Phpml | ||
| tools | ||
| var | ||
| .gitignore | ||
| .travis.yml | ||
| CHANGELOG.md | ||
| composer.json | ||
| composer.lock | ||
| CONTRIBUTING.md | ||
| humbug.json.dist | ||
| LICENSE | ||
| mkdocs.yml | ||
| 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 >= 7.0.
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
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
- Classification
- Regression
- Clustering
- Metric
- Workflow
- Neural Network
- Cross Validation
- Preprocessing
- Feature Extraction
- Datasets
- 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)