AttributeError: module 'statsmodels.formula.api' has no attribute 'OLS'

问题

I am trying to use Ordinary Least Squares for multivariable regression. But it says that there is no attribute 'OLS' from statsmodels. formula. api library. I am following the code from a lecture on Udemy The code is as follows:

import statsmodels.formula.api as sm
X_opt = X[:,[0,1,2,3,4,5]]
#OrdinaryLeastSquares
regressor_OLS = sm.OLS(endog = y, exog = X_opt).fit(

The error is as follows:

AttributeError                            Traceback (most recent call last)
<ipython-input-19-3bdb0bc861c6> in <module>()
      2 X_opt = X[:,[0,1,2,3,4,5]]
      3 #OrdinaryLeatSquares
----> 4 regressor_OLS = sm.OLS(endog = y, exog = X_opt).fit()

AttributeError: module 'statsmodels.formula.api' has no attribute 'OLS'

回答1:

Just for completeness, the code should look like this if statsmodels.version is 0.10.0:

import statsmodels.api as sm
X_opt = X[:,[0,1,2,3,4,5]]
#OrdinaryLeastSquares
regressor_OLS = sm.OLS(endog=y, exog=X_opt).fit()

回答2:

Use this import.

import statsmodels.api as sm

回答3:

Try this instead, worked for me:

import statsmodels.regression.linear_model as sm

回答4:

I have tried the above mentioned methods and while

import statsmodels.api as sm

the import works for me. When I run the next piece of code

X_opt = X[:, [0, 1, 2, 3, 4, 5]]
regressor_OLS = sm.OLS(endog=y, exog=X_opt).fit()

it gives me this error.

TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

If you are getting the above mentioned error, you can solve it by specifying dtype for the np.array.

Replace

X_opt = X[:, [0, 1, 2, 3, 4, 5]]

with

X_opt = np.array(X[:, [0, 1, 2, 3, 4, 5]], dtype=float)

来源：https://stackoverflow.com/questions/56449787/attributeerror-module-statsmodels-formula-api-has-no-attribute-ols

标签

python

machine-learning

linear-regression

statsmodels