ImportError: No module named sklearn.cross_validation

python scikit-learn
arthurckl picture arthurckl · Jun 5, 2015 · Viewed 295.8k times · Source

I am using python 2.7 in Ubuntu 14.04. I installed scikit-learn, numpy and matplotlib with these commands: 

sudo apt-get install build-essential python-dev python-numpy \
python-numpy-dev python-scipy libatlas-dev g++ python-matplotlib \
ipython

But when I import these packages:

from sklearn.cross_validation import train_test_split

It returns me this error:

ImportError: No module named sklearn.cross_validation

What I need to do?

Answer

Dima Lituiev picture Dima Lituiev · Jan 17, 2016

It must relate to the renaming and deprecation of cross_validation sub-module to model_selection. Try substituting cross_validation to model_selection

Related questions

How to normalize an array in NumPy?

I would like to have the norm of one NumPy array. More specifically, I am looking for an equivalent version of this function def normalize(v): norm = np.linalg.norm(v) if norm == 0: return v return v / norm Is there …

Read More
sklearn error ValueError: Input contains NaN, infinity or a value too large for dtype('float64')

I am using sklearn and having a problem with the affinity propagation. I have built an input matrix and I keep getting the following error. ValueError: Input contains NaN, infinity or a value too large for dtype('float64'). I …

Read More
Is there a library function for Root mean square error (RMSE) in python?

I know I could implement a root mean squared error function like this: def rmse(predictions, targets): return np.sqrt(((predictions - targets) ** 2).mean()) What I'm looking for if this rmse function is implemented in a library somewhere, perhaps in …

Read More