素朴贝叶斯分类器的实现 （php）
朴素贝叶斯分类器的实现 （php）
本文用php实现了一个朴素贝叶斯分类器，针对属性值为离散型变量的记录进行贝叶斯分类。
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通过对sample.csv文件中数据的学习，得到分类模型，然后对predict.csv中的数据的类指标进行预测。
针对每个被预测数据，计算属于每个类的概率，然后概率最大的类就是该数据被预测的类归属。
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附件中包含了程序文件：bys.php，样本文件：sample.csv，待预测数据文件：predict.csv。
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