I\'m trying to do:
from sklearn.model_selection import cross_validate
as mentioned here. But get the error:
ImportError: cannot
from sklearn.model_selection import cross_validate
On the latest stable version, 0.20.0, it is located underneath model_selection
.
from sklearn.model_selection import train_test_split
Refer Documentation
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.