ValueError：endog必须在单位间隔内

问题描述

在使用statsmodel时，我收到了这个奇怪的错误：ValueError: endog must be in the unit interval.有人能给我提供有关此错误的更多信息吗？谷歌帮不上忙。

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.

---

解决方案

当我的目标列的值大于1时，我收到此错误。 请确保您的目标列介于0和1之间(这是Logistic回归所必需的)，然后重试。 例如，如果目标列的值为1-5，则将4和5设为正类别，将1，2，3设为负类别。希望这能有所帮助。