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
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?
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
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
import sklearn.datasets
diabetes = sklearn.datasets.load_diabetes()
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.
This worked for me:
from sklearn.datasets import make_moons
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