.. include:: links.inc Installing julearn ================== Requirements ^^^^^^^^^^^^ julearn requires the following packages: * `Python`_ >= 3.6 * `scikit-learn`_ * `pandas`_ Running the examples requires: * `seaborn`_ Depending on the installation method, this packages might be installed automatically. Installing ^^^^^^^^^^ There are different ways to install julearn: * Install the :ref:`install_latest_release`. This is the most suitable approach for most end users. * Install the :ref:`install_latest_development`. This version will have the latest features. However, it is still under development and not yet officially released. Some features might still change before the next stable release. * Install from :ref:`install_development_git`. This is mostly suitable for developers that want to have the latest version and yet edit the code. Either way, we strongly recommend using virtual environments: * `venv`_ * `conda env`_ .. _install_latest_release: Latest release -------------- We have packaged julearn and published it in PyPi, so you can just install it with `pip`. .. code-block:: bash pip install -U julearn .. _install_latest_development: Latest Development Version -------------------------- First, make sure that you have all the dependencies installed: .. code-block:: bash pip install -U scikit-learn pandas numpy OR: .. code-block:: bash conda install scikit-learn pandas numpy Then, install julearn from TestPypi .. code-block:: bash pip install --index-url https://test.pypi.org/simple/ -U julearn .. _install_development_git: Local git repository (for developers) ------------------------------------- First, make sure that you have all the dependencies installed: .. code-block:: bash pip install -U scikit-learn pandas OR: .. code-block:: bash conda install scikit-learn pandas Then, clone `julearn Github`_ repository in a folder of your choice: .. code-block:: bash git clone https://github.com/juaml/julearn.git Finally, install in development mode: .. code-block:: bash cd julearn python setup.py develop