CODEWITHSUNDEEP
pythonscikit-learnlinear-regressionstatsmodels
user3120266
user3120266

Reputation: 425

series object not callable with linear regression in python

I am new to Python and I am trying to build a simple linear regression model. I am able to build the model and see the results, but when I try to look at the parameters I get an error and I am not sure where I am going wrong.

Code:

import statsmodels.formula.api as smf
from sklearn.linear_model import LinearRegression
lm = LinearRegression()
lm = smf.ols(formula='medv ~ lstat', data=data).fit()
lm.describe

produces results

Dep. Variable:  medv    R-squared:  0.544
Model:  OLS Adj. R-squared: 0.543
Method: Least Squares   F-statistic:    601.6
Date:   Wed, 06 May 2015    Prob (F-statistic): 5.08e-88
Time:   15:01:03    Log-Likelihood: -1641.5
No. Observations:   506 AIC:    3287.
Df Residuals:   504 BIC:    3295.
Df Model:   1

But when I try to call the parameters

lm.params()

I receive this

Series object is not callable

I must be missing something but I am not sure what it is. The model is being produced correctly. Thanks!

Upvotes: 0

Views: 2292

Answers (1)

Ando Saabas
Ando Saabas

Reputation: 1967

Try

lm.params

instead of 

lm.params()

The latter tries to call the params as a function (which it isn't)

Upvotes: 1

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