valueError: This solver needs samples of at least 2 classes in the data, but the data contains only one class: 0

问题描述：执行下面的代码，报错valueError: This solver needs samples of at least 2 classes in the data, but the data contains only one class: 0

原因：数据量太少

解决方案：增加训练数据量

代码如下：

filename = "test.csv"
data = pd.read_csv(filename,sep=' ')
data = pd.DataFrame(data)

x = data.iloc[:,:8].as_matrix()
y = data.iloc[:,8].as_matrix()

from sklearn.linear_model import LogisticRegression as LR
from sklearn.linear_model import RandomizedLogisticRegression as RLR
rlr = RLR() # 建立随机逻辑回归模型，筛选变量
rlr.fit(x, y)
rlr.get_support()
print (rlr.get_support())
print ("*********************88")
print (u'有效特征：%s' % ','.join(data.columns[rlr.get_support()]))