/**
* @Title: classifyResult @Description: 多项式朴素贝叶斯分类结果 P(C_i|w_1,w_2...w_n) = P(w_1,w_2...w_n|C_i) *
* P(C_i) / P(w_1,w_2...w_n) = P(w_1|C_i) * P(w_2|C_i)...P(w_n|C_i) * P(C_i) / (P(w_1) * P(w_2)
* ...P(w_n))
*
* @param @return
* @return BigDecimal
* @throws
*/
public static Map<String, BigDecimal> classifyResult(Set<String> words) {
Map<String, BigDecimal> resultMap = new HashMap<String, BigDecimal>();
Set<String> classifierSet = TrainSampleDataManager.getAllClassifiers();
for (String classifier : classifierSet) {
BigDecimal probability = new BigDecimal(1.0);
for (String word : words) {
probability =
probability
.multiply(classConditionalProbability(classifier, word))
.multiply(zoomFactor);
}
resultMap.put(classifier, probability.multiply(priorProbability(classifier)));
}
classifierResult = resultMap;
return resultMap;
}
