To install Scikit-learn on macOS, follow the steps given below − Install Python 3 using homebrew package manager When it is done, it will show the message that the installation was successful.

With the above command, packages for the Scikit-learn Python library will start to be downloaded and installed. You can install scikit-learn by typing the following command into the command prompt: pip install scikit-learn

I agree to follow the PSF Code of Conduct.Pip can be used to install Scikit-Learn.

If you perform these steps with Python profiling enabled, you'll see approximately 4000 calls made to normalize_path().

From that virtual environment run: python -m pip install -force-reinstall

Download the pip source distrubtion from.

Instead, I would expect to see some level of caching as to not harm performance disproportionately on Windows platforms. I would expect pip's uninstall logic to not normalize the same paths hundreds/thousands of times during the scope of a single uninstall/reinstall operation, degrading performance. On Linux-based filesystems, realpath() might be a fast function, but it's more expensive on Windows, and all these calls were adding nearly 1 second of time to the uninstall. In my testing on Windows, normalize_path() overwhelmingly spent its time calling realpath(). All but one of these were redundant, because is_local() calls normalize_path(sys.prefix), and sys.prefix shouldn't be changing while executing an uninstall.

~1500 were from calls to UninstallPathSet._permitted(), which calls is_local().

Since the vast majority of directories have several files in them, this meant we were repeating the path normalization of the 'head' portion of the path.

~2500 were in calls to UninstallPathSet.add(), when normalizing the 'head' of a file path.

When using pip's uninstall, either via pip uninstall or pip install -force-reinstall, I found that UninstallPathSet was generating thousands of calls to normalize_path(), the vast majority of which are being called on identical paths.įor instance, when running pip install -force-reinstall -no-deps.

Install pip3 windows