（1）用sklearn进行逻辑回归时，建立完模型，由于要预测的数据量很大，无法一次全部预测，只能每次预测一个样本数据，
在每次以列表形式输入数据进行预测时出现：
/Users/donganlan/anaconda/lib/python2.7/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
DeprecationWarning)
解决办法：将输入数据由列表形式改成shape(1,-1)形式for line in hp: line = re.sub(r'\\N', '0', line) linearr = line.strip().split(',') xpredict = [float(i) for i in linearr][2:118] xpredictnd =np.array(xpredict).reshape(1,-1) ypredict = grid.predict(xpredictnd)