jpcosec / autism

Data Challenge on Autism Spectrum Disorder detection

starting kit for the IMaging-PsychiAtry Challenge: predicting autism

Getting started

This starting kit requires Python and the following dependencies:

• numpy
• scipy
• pandas
• scikit-learn
• matplolib
• seaborn
• nilearn
• jupyter
• ramp-workflow

Therefore, we advise you to install Anaconda distribution which include almost all dependencies.

Only nilearn and ramp-workflow are not included by default in the Anaconda distribution. They will be installed from the execution of the notebook.

Execute the jupyter notebook, from the root directory using:

jupyter notebook autism_starting_kit.ipynb

Advanced install using conda (optional)

We provide both an environment.yml file which can be used with conda to create a clean environment and install the necessary dependencies.

conda env create -f environment.yml

Then, you can activate the environment using:

source activate autism

for Linux and MacOS. In Windows, use the following command instead:

activate autism