README

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

Association rule learning
- Apriori
Classification
- SVC
- k-Nearest Neighbors
- Naive Bayes
- Decision Tree (CART)
- Ensemble Algorithms
  - Bagging (Bootstrap Aggregating)
  - Random Forest
  - AdaBoost
- Linear
  - Adaline
  - Decision Stump
  - Perceptron
Regression
- Least Squares
- SVR
Clustering
- k-Means
- DBSCAN
Metric
Workflow
- Pipeline
Neural Network
- Multilayer Perceptron
- Backpropagation training
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
Models management
- Persistency
Math
- Distance
- Matrix
- Set
- Statistic

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)

mpescador1 / php-mt

Package info

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