simulatev1.3.py 文件源码

def analyseReasonWithXsqure(anamolySample, normalSample, topk, 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)

    X_new = SelectKBest(chi2, topk).fit(data, target)
    outcome = X_new.get_support()
    warnstr = ""
    for i in range(0, len(name)):
        if outcome[i]:
            warnstr += name[i]
            warnstr += "   ;   "
    print 'x2:',warnstr
    return warnstr