Installing julearn¶

Requirements¶

julearn requires the following packages:

Running the examples requires:

Depending on the installation method, this packages might be installed automatically.

There are different ways to install julearn:

Install the Latest release. This is the most suitable approach for most end users.
Install the Latest Development Version. 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 Local git repository (for developers). 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:

We have packaged julearn and published it in PyPi, so you can just install it with pip.

pip install -U julearn

First, make sure that you have all the dependencies installed:

pip install -U scikit-learn pandas numpy

OR:

conda install scikit-learn pandas numpy

Then, install julearn from TestPypi

pip install --index-url https://test.pypi.org/simple/ -U julearn

First, make sure that you have all the dependencies installed:

pip install -U scikit-learn pandas

OR:

conda install scikit-learn pandas

Then, clone julearn Github repository in a folder of your choice:

git clone https://github.com/juaml/julearn.git

Finally, install in development mode:

cd julearn
python setup.py develop