ValueError：endog必须在单位间隔内

在使用 statsmodels 时，我收到这个奇怪的错误：ValueError: endog must be in the unit interval.有人可以给我有关此错误的更多信息吗？谷歌没有提供帮助。

产生错误的代码：

"""
Multiple regression with dummy variables. 
"""

import pandas as pd
import statsmodels.api as sm
import pylab as pl
import numpy as np

df = pd.read_csv('cost_data.csv')
df.columns = ['Cost', 'R(t)', 'Day of Week']
dummy_ranks = pd.get_dummies(df['Day of Week'], prefix='days')
cols_to_keep = ['Cost', 'R(t)']
data = df[cols_to_keep].join(dummy_ranks.ix[:,'days_2':])
data['intercept'] = 1.0

print(data)

train_cols = data.columns[1:]
logit = sm.Logit(data['Cost'], data[train_cols])

result = logit.fit()

print(result.summary())

和回溯：

Traceback (most recent call last):
  File "multiple_regression_dummy.py", line 20, in <module>
    logit = sm.Logit(data['Cost'], data[train_cols])
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/statsmodels/discrete/discrete_model.py", line 404, in __init__
    raise ValueError("endog must be in the unit interval.")
ValueError: endog must be in the unit interval.

当我的目标列的值大于 1 时，我收到此错误。 确保您的目标列介于 0 和 1 之间（逻辑回归所需），然后重试。 例如，如果目标列的值为 1-5，请将 4 和 5 设为正类，将 1,2,3 设为负类。希望这可以帮助。