Autism
Data Challenge on Autism Spectrum Disorder detection
Install / Use
/learn @ramp-kits/AutismREADME
starting kit for the IMaging-PsychiAtry Challenge: predicting autism
Getting started
This starting kit requires Python and the following dependencies:
numpy<1.20scipypandas>=0.21scikit-learn>=0.19,<=0.21nilearn<0.8matplolibseabornjupyterramp-workflow==0.2.1
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
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