User_Interface.py 文件源码

def exportPresentationData(classifier,action):
        dir = input('Give Data Directory: ')

        if int(classifier)==1:
                clf = GradientBoostingClassifier()
                classify(dir,clf,action)
        elif int(classifier) == 2:
                clf = LogisticRegression()
                classify(dir,clf,action)
        elif int(classifier) == 3:
                clf = KNeighborsClassifier(n_neighbors=5)
                classify(dir,clf,action)
        elif int(classifier) == 4:
                clf = DecisionTreeClassifier()
                classify(dir,clf,action)
        elif int(classifier) == 5:
                clf = svm.LinearSVC()
                classify_type2(dir,clf,action)
        elif int(classifier) == 6:
                clf = RandomForestClassifier()
                classify(dir,clf,action)
        elif int(classifier) == 7:
                clf = ExtraTreesClassifier()
                classify(dir,clf,action)
        elif int(classifier) == 8:
                clf = IsolationForest()
                classify_type2(dir,clf,action)
        elif int(classifier) == 9:
                clf = AdaBoostClassifier(n_estimators=100)
                classify(dir,clf,action)
        elif int(classifier) == 10:
                clf = BaggingClassifier(DecisionTreeClassifier())
                classify(dir,clf,action)
        elif int(classifier) == 11:
                clf1 = GradientBoostingClassifier()
                clf2 = AdaBoostClassifier()
                clf = VotingClassifier(estimators=[('abdt', clf1), ('gbdt', clf2)], voting='soft')
                classify(dir,clf,action)