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can't use scikit-learn - “AttributeError: 'module' object has no attribute …”

I'm trying to follow this tutorial of scikit-learn (linear regression).

I've installed scikit through pip install -U scikit-learn, I use python 2.7 and Ubuntu 13.04

pip install -U scikit-learn

When I try to run the first lines of code there I get an error and it happens every time I'm trying to run anything with scikit-learn.

import pylab as pl
import numpy as np
from sklearn import datasets, linear_model

# Load the diabetes dataset
diabetes = datasets.load_diabetes()


I get the following:

AttributeError: 'module' object has no attribute 'load_diabetes'


When I try:

regr = linear_model.LinearRegression()


I get :

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


It seems to me that it's either I'm using the package wrong (but I've copied from their tutorial), or I've installed something wrong (but the package is loaded successfully).

Can anyone help?

from sklearn.linear_model import LinearRegression

7 Answers
7

OK.. Found it finally.. Posting it here in case someone will get into the same problem.

I had another version of sklearn (probably because of apt-get install) in a different directory. It was partially installed somehow but it was the one that got loaded.

Make sure to look at your pip script's output to see where does it install the package, and when you load it from python, check sklearn.__path__ to see where is it taking it from.

pip

sklearn.__path__

Another cause of this problem (not the problem with the OP's code) - but the one that got me - is that python does not automatically import subpackages or modules unless that is explicitly done by the package developer. And sklearn does not automatically import its subpackages, so if you have

sklearn

import sklearn
diabetes = sklearn.datasets.load_diabetes()


then you will get

AttributeError: module 'sklearn' has no attribute 'datasets'


This is a highly misleading error message, because sklearn does have a subpackage called datasets - you just need to import it explicitly

sklearn

datasets

import sklearn.datasets
diabetes = sklearn.datasets.load_diabetes()


This worked for me:

from sklearn.datasets import make_moons


I faced same issue but then i realized that my program name was sklearn.py . In case if any one sees this type of error also check that you program name is not same as the package name , or else you will get module object has no attribute error, as in the question .

sklearn.py

module object has no attribute error

It seems that the package loaded from sklearn were the one from the distribution library and not the one installed from pip. Solution for me (debian) was to reinstall the pip package. This can be checked with:

import sklearn
sklearn.__path__


If this shows /usr/lib/python/, then is it using the distribution.

/usr/lib/python/

The problem got solved by uninstalling and reinstalling sklearn.

$ pip uninstall scikit-learn
$ pip install scikit-learn


Try this:

from sklearn.datasets import load_diabetes
diabetes = load_diabetes()


I ran into a similar issue and this post with:

"*** AttributeError: 'GaussianProcessRegressor' object has no attribute '_y_train_mean"

when I updated scikit-learn and loaded a pickled model and attempted to predict using the model. I simply needed to retrain the model and it solved my issue.

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