You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Using imbalanced-learn==0.10.1 and scikit-learn==1.2.1 or scikit-learn==1.2.2
from imblearn.ensemble import BalancedRandomForestClassifier
clf = BalancedRandomForestClassifier()
clf.fit(X, y)
raises a series of FutureWarning: Function delayed is deprecated; The function delayed has been moved from sklearn.utils.fixes to sklearn.utils.parallel. This import path will be removed in 1.5.
UserWarning: sklearn.utils.parallel.delayed should be used with sklearn.utils.parallel.Parallel to make it possible to propagate the scikit-learn configuration of the current thread to the joblib workers.
Using imbalanced-learn==0.10.1 and scikit-learn==1.2.1 or scikit-learn==1.2.2
raises a series of
FutureWarning: Function delayed is deprecated; The function
delayed
has been moved fromsklearn.utils.fixes
tosklearn.utils.parallel
. This import path will be removed in 1.5.UserWarning:
sklearn.utils.parallel.delayed
should be used withsklearn.utils.parallel.Parallel
to make it possible to propagate the scikit-learn configuration of the current thread to the joblib workers.This is potentially stemming from
utils.fixes.delayed is deprecated in 1.2.1 and will be removed in 1.5. Instead, import utils.parallel.delayed and use it in conjunction with the newly introduced utils.parallel.Parallel to ensure proper propagation of the scikit-learn configuration to the workers.
as per https://scikit-learn.org/stable/whats_new/v1.2.html#version-1-2-1
The text was updated successfully, but these errors were encountered: