PHP 机器学习库 PHP-ML

 PHP-ml 是 PHP 的机器学习库。同时包含算法，交叉验证，神经网络，预处理，特征提取等。 PHP-ML 要求 PHP >= 7.0。 ###示例 简单的分类示例： 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' ### 特点 * 关联规则式学习 * [Apriori](http://php-ml.readthedocs.io/en/latest/machine-learning/association/apriori/) * 分类 * Adaline * Decision Stump * Perceptron * Bagging (Bootstrap Aggregating) * Random Forest * AdaBoost * [SVC](http://php-ml.readthedocs.io/en/latest/machine-learning/classification/svc/) * [k-Nearest Neighbors](http://php-ml.readthedocs.io/en/latest/machine-learning/classification/k-nearest-neighbors/) * [Naive Bayes](http://php-ml.readthedocs.io/en/latest/machine-learning/classification/naive-bayes/) * Decision Tree (CART) * Ensemble Algorithms * Linear * 回归 * [Least Squares](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/least-squares/) * [SVR](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/svr/) * 聚合 * [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means/) * [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan/) * Metric * [Accuracy](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/accuracy/) * [Confusion Matrix](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/confusion-matrix/) * [Classification Report](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/classification-report/) * 工作流 * [Pipeline](http://php-ml.readthedocs.io/en/latest/machine-learning/workflow/pipeline) * 神经网络 * [Multilayer Perceptron](http://php-ml.readthedocs.io/en/latest/machine-learning/neural-network/multilayer-perceptron/) * [Backpropagation training](http://php-ml.readthedocs.io/en/latest/machine-learning/neural-network/backpropagation/) * 交叉验证 * [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split/) * [Stratified Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/stratified-random-split/) * 预处理 * [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization/) * [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values/) * 特征提取 * [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer/) * [Tf-idf Transformer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/tf-idf-transformer/) * 数据设置 * [Iris](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/iris/) * [Wine](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/wine/) * [Glass](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/glass/) * [Array](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/array-dataset/) * [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset/) * [Files](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/files-dataset/) * Ready to use: * 模式管理 * [Persistency](http://php-ml.readthedocs.io/en/latest/machine-learning/model-manager/persistency/) * Math * [Distance](http://php-ml.readthedocs.io/en/latest/math/distance/) * [Matrix](http://php-ml.readthedocs.io/en/latest/math/matrix/) * [Set](http://php-ml.readthedocs.io/en/latest/math/set/) * [Statistic](http://php-ml.readthedocs.io/en/latest/math/statistic/)