module 'sklearn' has no attribute 'cross_validation'

Question

I am trying to split my dataset into training and testing dataset, but I am getting this error:

X_train,X_test,Y_train,Y_test = sklearn.cross_validation.train_test_split(X,df1['ENTRIESn_hourly'])

AttributeError                            Traceback (most recent call last)
<ipython-input-53-5445dab94861> in <module>()
----> 1 X_train,X_test,Y_train,Y_test = sklearn.cross_validation.train_test_split(X,df1['ENTRIESn_hourly'])

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

How can I handle this?

How are you importing `sklearn`? Did you try the [many](https://stackoverflow.com/questions/16743889/cant-use-scikit-learn-attributeerror-module-object-has-no-attribute) [solutions](https://stackoverflow.com/questions/40496969/attributeerror-module-sklearn-metrics-has-no-attribute-calinski-harabaz-scor) found online? — Antimony, Oct 04 '17 at 19:17
This is so annoying that we can't just use `import sklearn as sk` and simply start using any submodules from `sk.metrics.etc` and we have to manually add hundreds of import statements cluttering the code base and making it extremely difficult to follow any logic in the code. I hope people at `sklearn` take notice and fix this at some point. — Kirk Walla, Apr 24 '22 at 10:26

Brenden Petersen · Accepted Answer · 2021-06-29T18:14:15.503

127

sklearn does not automatically import its subpackages. If you only imported via: import sklearn, then it won't work. Import with import sklearn.cross_validation instead.

Further, sklearn.cross_validation will be deprecated in version 0.20. Use sklearn.model_selection.train_test_split instead.

edited Jun 29 '21 at 18:14

answered Oct 04 '17 at 19:17

Brenden Petersen

1,993
1
9
10

4

Beat me to the punch. Welcome to Stack Overflow! This answer would be even better with some [linked sources](http://scikit-learn.org/0.19/modules/generated/sklearn.cross_validation.train_test_split.html) :) – alkasm Oct 04 '17 at 19:19

score 8 · Answer 2 · answered Oct 21 '18 at 22:30

8

Try this:

from sklearn.model_selection import train_test_split
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.33, random_state=101)

answered Oct 21 '18 at 22:30

gogasca

9,283
6
80
125

score 2 · Answer 3 · edited Aug 25 '18 at 01:04

2

you can try this

X_train,X_test,Y_train,Y_test = 
    sklearn.model_selection.train_test_split(X,boston_df.price)

edited Aug 25 '18 at 01:04

Nic3500

8,144
10
29
40

answered Aug 25 '18 at 00:18

Rajendra Prasad Taidala

79
1

score 2 · Answer 4 · answered Nov 18 '18 at 08:41

2

The equivalent to cross_validation in sklearn is:

  sklearn.model_selection

answered Nov 18 '18 at 08:41

Enrique Benito Casado

1,914
1
20
40

score 2 · Answer 5 · answered Feb 29 '20 at 13:03

2

"cross_validation" name is now deprecated and was replaced by "model_selection" inside the new anaconda versions. So you can use

from sklearn.model_selection import train_test_split

answered Feb 29 '20 at 13:03

Joel K Thomas

228
1
4
15

score 0 · Answer 6 · answered Sep 28 '21 at 03:02

0

Thanks! Successful with this in Colab:

    from sklearn.model_selection import train_test_split

answered Sep 28 '21 at 03:02

Patricia

1

module 'sklearn' has no attribute 'cross_validation'

6 Answers6

Linked