Installing the latest release
- Python ( 2.7 or 3.4),
- NumPy ( 1.8.2),
- SciPy ( 0.13.3).
Warning Scikit-learn 0.20 is the last version to support Python 2.7 and Python 3.4. Scikit-learn 0.21 will require Python 3.5 or newer.
If you already have a working installation of numpy and scipy, the easiest way to install scikit-learn is using
pip install -U scikit-learn
conda install scikit-learn
If you have not installed NumPy or SciPy yet, you can also install these using conda or pip. When using pip, please ensure that binary wheels are used, and NumPy and SciPy are not recompiled from source, which can happen when using particular configurations of operating system and hardware (such as Linux on a Raspberry Pi). Building numpy and scipy from source can be complex (especially on Windows) and requires careful configuration to ensure that they link against an optimized implementation of linear algebra routines. Instead, use a third-party distribution as described below.
If you must install scikit-learn and its dependencies with pip, you can install it as
scikit-learn[alldeps]. The most common use case for this is in a
requirements.txt file used as part of an automated build process for a PaaS application or a Docker image. This option is not intended for manual installation from the command line.
Note: For installing on PyPy, PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+ are required.
For installation instructions for more distributions see other distributions. For compiling the development version from source, or building the package if no distribution is available for your architecture, see the Advanced installation instructions.
If you don’t already have a python installation with numpy and scipy, we recommend to install either via your package manager or via a python bundle. These come with numpy, scipy, scikit-learn, matplotlib and many other helpful scientific and data processing libraries.
Available options are:
Canopy and Anaconda for all supported platforms
Anaconda offers scikit-learn as part of its free distribution.
Warning: To upgrade or uninstall scikit-learn installed with Anaconda or
condayou should not use the pip command. Instead:
To upgrade scikit-learn:
conda update s cikit-learn
To uninstall scikit-learn:
conda remove scikit-learn
pip install -U scikit-learnor uninstalling
pip uninstall scikit-learnis likely fail to properly remove files installed by the
pip upgrade and uninstall operations only work on packages installed via
WinPython for Windows
The WinPython project distributes scikit-learn as an additional plugin.