CODEWITHSUNDEEP
python-3.xscikit-learn
Reddspark
Reddspark

Reputation: 7557

ImportError: cannot import name 'cross_validate'

I'm trying to do:

from sklearn.model_selection import cross_validate

as mentioned here. But get the error:

ImportError: cannot import name 'cross_validate'

Everything else in Sklearn seems to work fine, it's just this bit. Error even occurs when I run this one line and nothing else.

Upvotes: 20

Views: 28675

Answers (3)

Hari Prasad
Hari Prasad

Reputation: 1364

from sklearn.model_selection import cross_validate

Upvotes: 1

alyssumander
alyssumander

Reputation: 119

On the latest stable version, 0.20.0, it is located underneath model_selection.

from sklearn.model_selection import train_test_split

Refer Documentation

Upvotes: 11

user2285236
user2285236

Reputation:

cross-validate is new in version 0.19.0 (change log):

Cross validation is now able to return the results from multiple metric evaluations. The new model_selection.cross_validate can return many scores on the test data as well as training set performance and timings, and we have extended the scoring and refit parameters for grid/randomized search to handle multiple metrics.

In order to use it update your scikit-learn installation with either conda upgrade scikit-learn if you are using conda, or pip install --upgrade scikit-learn. If updating is not possible, you can still use cross_val_score instead.

Upvotes: 22

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