在用SMOTE算法模塊進行過采樣（oversampling）時，pandas導入訓練集合特征和label。
from imblearn.over_sampling import SMOTE # 導入SMOTE算法模塊
# 處理不平衡數據
sm = SMOTE(random_state=122) # 處理過采樣的方法
X, y = sm.fit_sample(X, y)
/Users/wangchuang/anaconda3/lib/python3.6/site-packages/sklearn/utils/validation.py:547: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
y = column_or_1d(y, warn=True)
通過查詢，解決方法如下，
from imblearn.over_sampling import SMOTE # 導入SMOTE算法模塊
# 處理不平衡數據
sm = SMOTE(random_state=42) # 處理過采樣的方法
X, y = sm.fit_sample(X, y.values.ravel())
