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DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning)
Also check if there are other deprecation warnings - I think I saw another one but I'm not sure.
The text was updated successfully, but these errors were encountered:
I looked into this deprecation warning and don't think there is much we can do.
It arises when importing StratifiedKFold from sklearn.cross_validation (see below). However, this method is needed to make the code work when working with Python 3.5, and working with Python 3.5 in turn is needed to make TensorFlow work (at least on Windows). So I don't see how this could be fixed... Thoughts?
if sys.version_info >= (3, 6):
from sklearn.model_selection import StratifiedKFold
else: # We have an old version of sklearn...
from sklearn.cross_validation import StratifiedKFold
DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning)
Also check if there are other deprecation warnings - I think I saw another one but I'm not sure.
The text was updated successfully, but these errors were encountered: