机器学习经典算法：伯努利朴素贝叶斯（Bernoulli Naive Bayes）原理、手动计算与Python/Java双代码实战

*;public class BernoulliNaiveBayes { private Map<String, Integer> vocab = new HashMap<>(); private double[]> condProb = new HashMap<>(); private int vocabSize; private double alpha; public BernoulliNaiveBayes Arrays.asList("免费", "会议") ); List<Integer> labels = Arrays.asList(1, 1, 0, 0, 1); BernoulliNaiveBayes nb = new BernoulliNaiveBayes(1.0); nb.fit(docs, labels); List<String> testDoc = Arrays.asList