AttributeError:LinearRegression对象没有属性'coef_' [英] AttributeError: LinearRegression object has no attribute 'coef_'

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问题描述

根据bigdataexaminer的教程,我一直在尝试通过线性回归拟合此数据.到目前为止,一切工作正常.我从sklearn导入了LinearRegression,并打印了一些系数.这是我尝试从控制台获取系数之前的代码.

I've been attempting to fit this data by a Linear Regression, following a tutorial on bigdataexaminer. Everything was working fine up until this point. I imported LinearRegression from sklearn, and printed the number of coefficients just fine. This was the code before I attempted to grab the coefficients from the console.

import numpy as np
import pandas as pd
import scipy.stats as stats
import matplotlib.pyplot as plt
import sklearn
from sklearn.datasets import load_boston
from sklearn.linear_model import LinearRegression

boston = load_boston()
bos = pd.DataFrame(boston.data)
bos.columns = boston.feature_names
bos['PRICE'] = boston.target

X = bos.drop('PRICE', axis = 1)

lm = LinearRegression()

完成所有这些设置后,我运行了以下命令,它返回了正确的输出:

After I had all this set up I ran the following command, and it returned the proper output:

In [68]: print('Number of coefficients:', len(lm.coef_)

Number of coefficients: 13

但是,现在,如果我尝试再次打印同一行或使用"lm.coef_",它会告诉我coef_不是LinearRegression的属性,就在我刚刚成功使用它之后,而我没有在我再次尝试之前,请先触摸任何代码.

However, now if I ever try to print this same line again, or use 'lm.coef_', it tells me coef_ isn't an attribute of LinearRegression, right after I JUST used it successfully, and I didn't touch any of the code before I tried it again.

In [70]: print('Number of coefficients:', len(lm.coef_))

Traceback (most recent call last):

 File "<ipython-input-70-5ad192630df3>", line 1, in <module>
print('Number of coefficients:', len(lm.coef_))

AttributeError: 'LinearRegression' object has no attribute 'coef_'

推荐答案

调用fit()方法时将创建coef_属性.在此之前,它将是未定义的:

The coef_ attribute is created when the fit() method is called. Before that, it will be undefined:

>>> import numpy as np
>>> import pandas as pd
>>> from sklearn.datasets import load_boston
>>> from sklearn.linear_model import LinearRegression

>>> boston = load_boston()

>>> lm = LinearRegression()
>>> lm.coef_
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-22-975676802622> in <module>()
      7 
      8 lm = LinearRegression()
----> 9 lm.coef_

AttributeError: 'LinearRegression' object has no attribute 'coef_'

如果我们调用fit(),则将定义系数:

If we call fit(), the coefficients will be defined:

>>> lm.fit(boston.data, boston.target)
>>> lm.coef_
array([ -1.07170557e-01,   4.63952195e-02,   2.08602395e-02,
         2.68856140e+00,  -1.77957587e+01,   3.80475246e+00,
         7.51061703e-04,  -1.47575880e+00,   3.05655038e-01,
        -1.23293463e-02,  -9.53463555e-01,   9.39251272e-03,
        -5.25466633e-01])

我的猜测是,在运行有问题的行时,您以某种方式忘记了呼叫fit().

My guess is that somehow you forgot to call fit() when you ran the problematic line.

这篇关于AttributeError:LinearRegression对象没有属性'coef_'的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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