导入库
from sklearn.naive_bayes import MultinomialNB, GaussianNB, BernoulliNB
多项式贝叶斯
def MultinomialNB_Classifier(self, fea_train, trainLabel,testPadSqe):"""模型算法：多项式贝叶斯算法"""clf = MultinomialNB(alpha=1e-10)clf.fit(fea_train,np.array(trainLabel))# model = joblib.dump(clf, modelsavepath)## if (os.path.exists(modelsavepath)):#print("Load......")#clf = joblib.load(modelsavepath)#pred = clf.predict(testPadSqe)## else:#print("模型不存在。")pred = clf.predict(testPadSqe)return pred
伯努利贝叶斯
def BernoulliNB_Classifier(self, fea_train, trainLabel,testPadSqe):"""模型算法：伯努利贝叶斯算法"""clf = BernoulliNB()clf.fit(fea_train,np.array(trainLabel))# model = joblib.dump(clf, modelsavepath)## if (os.path.exists(modelsavepath)):#print("Load......")#clf = joblib.load(modelsavepath)#pred = clf.predict(testPadSqe)## else:#print("模型不存在。")pred = clf.predict(testPadSqe)return pred
高斯贝叶斯
def GaussianNB_Classifier(self, fea_train, trainLabel,testPadSqe):"""模型算法：高斯贝叶斯算法"""clf = GaussianNB() clf.fit(fea_train,np.array(trainLabel))# model = joblib.dump(clf, modelsavepath)## if (os.path.exists(modelsavepath)):#print("Load......")#clf = joblib.load(modelsavepath)#pred = clf.predict(testPadSqe)## else:#print("模型不存在。")pred = clf.predict(testPadSqe)return pred
