做为初学python的菜鸟，我怎么发现python不能用一个预测变量跑逻辑回归？这个是什么道理？

import numpy as np
import pandas as pd
from sklearn.linear_model import LogisticRegression

sample_set = pd.DataFrame({'Target': np.random.randint(0,2,30),
                           'd1':np.random.randn(30)
                           }
                         )
modelLR=LogisticRegression()
modelLR = modelLR.fit(sample_set['d1'],sample_set['Target'])

居然报错如下：Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

哪位大神解释一下？非常感谢！

Please replaced by :
{'Target': np.random.randint(0,2,30).reshape(-1, 1),
'd1':np.random.randn(30).reshape(-1, 1)
}

学习了