# PHP-ML
## php 机器学习类库(在人工智能大数据时代,不学点算法,只写业务的程序猿很大可能被人工智能代替)
[![Minimum PHP Version](https://img.shields.io/badge/php-%3E%3D%207.1-8892BF.svg)](https://php.net/)[![Latest Stable Version](https://img.shields.io/packagist/v/php-ai/php-ml.svg)](https://packagist.org/packages/php-ai/php-ml)[![Build Status](https://travis-ci.org/php-ai/php-ml.svg?branch=master)](https://travis-ci.org/php-ai/php-ml)[![Documentation Status](https://readthedocs.org/projects/php-ml/badge/?version=master)](http://php-ml.readthedocs.org/)[![Total Downloads](https://poser.pugx.org/php-ai/php-ml/downloads.svg)](https://packagist.org/packages/php-ai/php-ml)[![License](https://poser.pugx.org/php-ai/php-ml/license.svg)](https://packagist.org/packages/php-ai/php-ml)[![Coverage Status](https://coveralls.io/repos/github/php-ai/php-ml/badge.svg?branch=master)](https://coveralls.io/github/php-ai/php-ml?branch=master)[![Scrutinizer Code Quality](https://scrutinizer-ci.com/g/php-ai/php-ml/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/php-ai/php-ml/?branch=master)
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用PHP学习机器的新方法。算法、交叉验证、神经网络、预处理、特征提取等。
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PHP-ML 需要 PHP >= 7.1.
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**简单示例:**
```
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);
$classifier->predict([3, 2]);
// return 'b'
```
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## 安装:
当前正在开发此库,但您可以使用composer安装它:
`composer require php-ai/php-ml`
## 示例:
示例脚本在单独的存储库php-ai/php-ml-examples.。
## 贡献:
* Guide:[CONTRIBUTING.md](https://github.com/php-ai/php-ml/blob/master/CONTRIBUTING.md)
* Issue Tracker:[github.com/php-ai/php-ml/issues](https://github.com/php-ai/php-ml/issues)
* Source Code:[github.com/php-ai/php-ml](https://github.com/php-ai/php-ml)
You can find more about contributing in[CONTRIBUTING.md](https://php-ml.readthedocs.io/en/CONTRIBUTING.md).
## 许可证
PHP-ML is released under the MIT Licence. See the bundled LICENSE file for details.
## 作者
Arkadiusz Kondas (@ArkadiuszKondas)
- 起步
- Association rule Lerning关联规则学习算法
- Classification分类算法
- SVC
- KNearestNeighbors Classifier
- NaiveBayes Classifier
- Regression回归算法
- LeastSquares
- SVR
- Clustering聚类算法
- KMeans
- DBSCAN
- Metric度量算法
- Accuracy
- Confusion Matrix
- Classification Report
- Workflow工作流
- Neural Network神经网络
- Cross Validation交叉验证
- Random Split
- Stratified Random Split
- Feature Selection特征选择
- Variance Threshold
- SelectKBest
- Preprocessing预处理
- Normalization
- Imputation missing values
- Feature Extraction特征提取
- Token Count Vectorizer
- Tf-idf Transformer
- Datasets数据集
- ArrayDataset
- CsvDataset
- FilesDataset
- SvmDataset
- MnistDataset
- 准备使用数据集
- Iris
- Wine Dataset
- Glass Dataset
- Models management模型管理
- Math数学
- Distance
- Matrix
- set
- Statistic统计