PHP-ML - Machine Learning library for PHP

Fresh approach to Machine Learning in PHP. Algorithms, Cross Validation, 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
  • SVC
  • k-Nearest Neighbors
  • Naive Bayes
• Regression
  • Least Squares
  • SVR
• Clustering
  • k-Means
  • DBSCAN
• Metric
  • Accuracy
  • Confusion Matrix
  • Classification Report
• Workflow
  • Pipeline
• Cross Validation
  • Random Split
  • Stratified Random Split
• Preprocessing
  • Normalization
  • Imputation missing values
• Feature Extraction
  • Token Count Vectorizer
  • Tf-idf Transformer
• Datasets
  • Array
  • CSV
  • Files
  • Ready to use:
    • Iris
    • Wine
    • Glass
• Math
  • Distance
  • Matrix
  • Statistic

Contribute

• Issue Tracker: github.com/php-ai/php-ml/issues
• Source Code: github.com/php-ai/php-ml

After installation, you can launch the test suite in project root directory (you will need to install dev requirements with Composer)

bin/phpunit

License

PHP-ML is released under the MIT Licence. See the bundled LICENSE file for details.

Author

Arkadiusz Kondas (@ArkadiuszKondas)