def SVM(self):
x = preprocessings.for_file(self.path)
svm = joblib.load('SVM.pkl', mmap_mode='r')
prediction = svm.predict(x)
print(prediction)
export_file(self.path, prediction)
def DecisionTree(self):
x = preprocessings.for_file(self.path)
decisionTree = joblib.load('DecisionTree.pkl', mmap_mode='r')
prediction = decisionTree.predict(x)
print(prediction)
export_file(self.path, prediction)
def Naive_bayes(self):
x = preprocessings.for_file(self.path)
NB = joblib.load('NB.pkl', mmap_mode='r')
prediction = NB.predict(x)
print(prediction)
export_file(self.path, prediction)
def KNN(self):
x = preprocessings.for_file(self.path)
modelscorev2 = joblib.load('KNN.pkl', mmap_mode='r')
prediction = modelscorev2.predict(x)
print(prediction)
export_file(self.path, prediction)