v0.2.py 文件源码

def analyseReasonWithTreeBaesd(anamolySample,normalSample,name):
    data = anamolySample
    target = []
    for i in range(0,len(anamolySample)):
        target.append(1)
    data.extend(normalSample)
    for i in range(0,len(normalSample)):
        target.append(0)

    clf = ExtraTreesClassifier()
    clf = clf.fit(data,target)   
    model = SelectFromModel(clf,prefit=True) 
    outcome = model.get_support()
    for i in range(0,len(name)):
        if outcome[i]:
            print name[i]