def query(self, headline):
'''
:param headline: string, the headline to classify
:return: 0/1: 0 - fake, 1 - real
'''
testX = feature.constructRealFea(headline)
resRF = self.RF.query(testX)
resRFSK = self.RFSklearn.predict(testX)
resDT = self.DT.predict(testX)
resSVM = self.SVM.predict(testX)
resMLP = self.MLP.predict(testX)
res = resRF + resRFSK + resDT + resSVM + resMLP
if res > 2.5:
return 1
else:
return 0
def querySVM(self,headline):
testX=feature.constructRealFea(headline)
return self.SVM.predict(testX)
def queryRFSK(self,headline):
testX=feature.constructRealFea(headline)
return self.RFSklearn.predict(testX)
def queryMLP(self,headline):
testX=feature.constructRealFea(headline)
return self.MLP.predict(testX)
def queryRF(self,headline):
testX=feature.constructRealFea(headline)
return self.RF.query(testX)