![]() ![]() Installation of scikit-learn on this hardware is to install scikit-learn and itsĭependencies from the conda-forge distribution, for instance using the miniforge Macos/aarch64) requires the open source community to upgrade the buildĬonfiguration and automation to properly support it.Īt the time of writing (January 2021), the only way to get a working The recently introduced macos/arm64 platform (sometimes also known as Installing on Apple Silicon M1 hardware ¶ Scikit-learn 1.1 and later requires Python 3.8 or newer. Scikit-learn 1.0 supported Python 3.7-3.10. Scikit-learn 0.23 - 0.24 require Python 3.6 or newer. Scikit-learn 0.22 supported Python 3.5-3.8. Scikit-learn 0.21 supported Python 3.5-3.7. Scikit-learn 0.20 was the last version to support Python 2.7 and Python 3.4. Minimum version of Scikit-learn dependencies are listed below along with its Matplotlib and some examples require scikit-image, pandas, or seaborn. Scikit-learn plotting capabilities (i.e., functions start with “plot_”Īnd classes end with “Display”) require Matplotlib. Particular configurations of operating system and hardware (such as Linux on When using pip, please ensure that binary wheels are used,Īnd NumPy and SciPy are not recompiled from source, which can happen when using If you have not installed NumPy or SciPy yet, you can also install these usingĬonda or pip. Prior to running any Python command whenever you start a new terminal session. Note that you should always remember to activate the environment of your choice Package manager of the distribution (apt, dnf, pacman…). In particular under Linux is itĭiscouraged to install pip packages alongside the packages managed by the Version of scikit-learn with pip or conda and its dependencies independently ofĪny previously installed Python packages. Using such an isolated environment makes it possible to install a specific Strongly recommended to use a virtual environment (venv) or a conda environment. Note that in order to avoid potential conflicts with other packages it is The built-in interpreter of the standalone version doesn't currently support installing packages beyond the common scientific libraries bundled with it, so most users will want to have an external Python environment to run their own code, like with any other IDE.Īlso, the standalone installers don't yet work with third-party plugins, so users needing them should use Spyder through a Conda-based distribution instead.įor a detailed guide to this and the other different ways to obtain Spyder, refer to our full installation instructions, and check out our release page for links to all our installers.Python3 -m pip show scikit-learn # to see which version and where scikit-learn is installed python3 -m pip freeze # to see all packages installed in the active virtualenv python3 -c "import sklearn sklearn.show_versions()" python -m pip show scikit-learn # to see which version and where scikit-learn is installed python -m pip freeze # to see all packages installed in the active virtualenv python -c "import sklearn sklearn.show_versions()" python -m pip show scikit-learn # to see which version and where scikit-learn is installed python -m pip freeze # to see all packages installed in the active virtualenv python -c "import sklearn sklearn.show_versions()" python -m pip show scikit-learn # to see which version and where scikit-learn is installed python -m pip freeze # to see all packages installed in the active virtualenv python -c "import sklearn sklearn.show_versions()" conda list scikit-learn # to see which scikit-learn version is installed conda list # to see all packages installed in the active conda environment python -c "import sklearn sklearn.show_versions()" You can also try out Spyder right in your web browser by launching it on Binder. ![]() We offer standalone installers on Windows and macOS, and as our Linux installer is are still experimental, we currently recommend the cross-platform Anaconda distribution for that operating system, which includes Spyder and many other useful packages for scientific Python. Want to join the community of scientists, engineers and analysts all around the world using Spyder?Ĭlick the button below to download the suggested installer for your platform. ![]()
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