Difference between scikit-learn and sklearn (now deprecated) The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands Hereafter sklearn won't available for pip install from the latest versions So it is better to start scikit-learn Reason for the deprecation: sklearn package on PyPI exists to prevent malicious actors from using the sklearn package, since sklearn (the import name) and scikit-learn (the project
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
VS Code: ModuleNotFoundError: No module named sklearn I am working in VS Code to run a Python script in conda environment named myenv where sklearn is already installed However when I import it and run the script I get the following error: Traceback
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
How to compute precision, recall, accuracy and f1-score for the . . . How to fix sklearn warnings? Just simply (as yangjie noticed) overwrite average parameter with one of these values: 'micro' (calculate metrics globally), 'macro' (calculate metrics for each label) or 'weighted' (same as macro but with auto weights)