This repository (so far) contains all of the ML scripts for the paper on generalizability of machine-learning approaches in classifying autism spectrum disorders
For running the scripts I'd recommend doing the following from your terminal (and remembering to use the new environment that it creates):
__MAC/LINUX
git clone https://github.com/emiltj/bachelors_deluxe.git
cd bachelors_deluxe
bash ./create_bach_venv.sh
WINDOWS:
git clone https://github.com/emiltj/bachelors_deluxe.git
cd bachelors_deluxe
bash ./create_bach_venv_win.sh
This repository has the following directory structure:
Column | Description |
---|---|
data |
Is meant to contain the training and the testing data, a long with the feature lists and the models when the models have been trained |
predictions |
Contains the output of the ML process - dataframes, confusion matrices and classification reports |
Furthermore it contains the files:
./create_bach_venv.sh
-> (Mac or Linux) A bash script which automatically generates a new virtual environment, and install all the packages contained withinrequirements.txt
./create_bach_venv.win.sh
-> (Windows) A bash script which automatically generates a new virtual environment, and install all the packages contained withinrequirements.txt
requirements.txt
-> A list of packages along with the versions that are required to run the scriptsREADME.md
-> This very readme file