PHP-ML 详细介绍
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，特征提取搜索引擎有哪些 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
分类
Adaline
Decision Stump
Perceptron
Bagging (Bootstrap Aggregating)
Random Forest
AdaBoost
SVC
k-Nearest Neighbors
Naive Bayes
Decision Tree (CART)
Ensemble Algorithms
Linear
回归
Least Squares
SVR
聚合
k-Means
DBSCAN
Metric
Accuracy
Confusion Matrix
Classification Report
工作流
Pipeline
神经网络
Multilayer Perceptron
Backpropagation training
交叉验证
Random Split
Stratified Random Split
预处理
Normalization
Imputation missing values
特征提取
Token Count Vectorizer
Tf-idf Transformer
数据设置
Iris
Wine
Glass
Array
CSV
Files
Ready to use:
模式管理
Persistency
Math
Distance
Matrix
Set
Statistic
来自：开源中国