- 授权协议: MIT
- 开发语言: PHP
- 操作系统: 跨平台
- 软件首页: https://gitee.com/qieangel2013/phpml
- 软件文档: https://gitee.com/qieangel2013/phpml
软件介绍
phpml
基于 PHP-ML 库实现机器学习
基于语言学习
基于语言学习，根据语言编码实现学习
实例
require_once 'vendor/autoload.php';
use Phpml\Classification\KNearestNeighbors;
use Phpml\Dataset\CsvDataset;
use Phpml\Dataset\ArrayDataset;
use Phpml\FeatureExtraction\TokenCountVectorizer;
use Phpml\Tokenization\WordTokenizer;
use Phpml\CrossValidation\StratifiedRandomSplit;
use Phpml\FeatureExtraction\TfIdfTransformer;
use Phpml\Metric\Accuracy;
use Phpml\Classification\SVC;
use Phpml\Regression\SVR;
use Phpml\SupportVectorMachine\Kernel;
$dataset = new CsvDataset('languages.csv', 1);
$vectorizer = new TokenCountVectorizer(new WordTokenizer());
$tfIdfTransformer = new TfIdfTransformer();
$testample=['我是中国人'];
$samples = [];
foreach ($dataset->getSamples() as $sample) {
$samples[] = $sample[0];
}
$vectorizer->fit($samples);
$vectorizer->transform($samples);
$vectorizer->fit($testample);
$vectorizer->transform($testample);
$tfIdfTransformer->fit($samples);
$tfIdfTransformer->transform($samples);
$dataset = new ArrayDataset($samples, $dataset->getTargets());
$randomSplit = new StratifiedRandomSplit($dataset, 0.1);
$classifier = new SVC(Kernel::RBF, 10000);
$classifier->train($randomSplit->getTrainSamples(), $randomSplit->getTrainLabels());
$testpredictedLabels = $classifier->predict($testample);
print_r($testpredictedLabels);// return Array ( [0] => zh )
exit;
