The easiest and fastest way to get the package up and running is to install scikit-criteria using conda:
$ conda install -c conda-forge scikit-criteria
or, better yet, using mamba, which is a super fast replacement for
$ conda install -c conda-forge mamba $ mamba install -c conda-forge scikit-criteria
We encourage users to use conda or mamba and the conda-forge packages for convenience, especially when developing on Windows. It is recommended to create a new environment.
If the installation fails for any reason, please open an issue in the issue tracker.
Alternative installation methods¶
You can also install scikit-criteria from PyPI using pip:
$ pip install scikit-criteria
Finally, you can also install the latest development version of scikit-criteria directly from GitHub:
$ pip install git+https://github.com/quatrope/scikit-criteria/
This is useful if there is some feature that you want to try, but we did not release it yet as a stable version. Although you might find some unpolished details, these development installations should work without problems. If you find any, please open an issue in the issue tracker.
If you don’t have Python¶
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, matplotlib and many other helpful scientific and data processing libraries.