Difference between scikit-learn and sklearn (now deprecated) Regarding the difference sklearn vs scikit-learn: The package "scikit-learn" is recommended to be installed using pip install scikit-learn but in your code imported using import sklearn A bit confusing, because you can also do pip install sklearn and will end up with the same scikit-learn package installed, because there is a "dummy" pypi package sklearn which will install scikit-learn for
super object has no attribute __sklearn_tags__ 'super' object has no attribute '__sklearn_tags__' This occurs when I invoke the fit method on the RandomizedSearchCV object I suspect it could be related to compatibility issues between Scikit-learn and XGBoost or Python version I am using Python 3 12, and both Scikit-learn and XGBoost are installed with their latest versions
ImportError: No module named sklearn (Python) - Stack Overflow I wanna use scikit-learn I have typed pip install -U scikit-learn pip3 install sklearn to install it; but when i type $ Python gt; gt; gt; import sklearn it returns ImportError: No module na
Parameter stratify from method train_test_split (scikit Learn) I am trying to use train_test_split from package scikit Learn, but I am having trouble with parameter stratify Hereafter is the code: from sklearn import cross_validation, datasets X = iris data
How to save a trained model by scikit-learn? - Stack Overflow I am trying to re-create the prediction of a trained model but I don't know how to save a model For example, I want to save the trained Gaussian processing regressor model and recreate the predict