simulatev1.3.py 文件源码

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

    warnstr = ""
    for i in range(0, len(name)):
        if outcome[i]:
            warnstr += name[i]
            warnstr += "   ;   "
    print warnstr
    return warnstr