The Jupyter notebooks and other workshop materials have now been uploaded.
The notebook files are:
- rriML_sklearn.ipynb
- rriML_nilearn_neuropredict.ipynb
You have two options for running the Jupyter notebooks. Running the notebooks on Google Colab (i.e. Option 1) is easier, but will require an internet connection. The internet connection should be okay in Loftus Hall, but just in case, I would recommend downloading the software locally (i.e. Option 2) if you can.
Please contact me if you have any questions!
All you need is a Google account and Google Chrome.
See the FAQ if you would like to learn more about Google Colab:
https://research.google.com/colaboratory/faq.html
(According to the FAQ, the desktop version of Firefox should also work.)
Miniconda: download and install from https://conda.io/miniconda.html (choose the Python 3.6 version)
Open Anaconda Prompt (Windows) or Terminal (Mac) and run the following:
conda create -n rriML python=3
conda activate rriML (if that doesn't work, try source activate rriML)
conda install git
conda install jupyter
cd ~
git clone https://www.github.com/amandakeasson/RRI_ML_workshop
cd RRI_ML_workshop
pip install -r requirements.txt
python download_nilearn_data.py
On May 9th after 4pm, run the following to download additional materials that have been posted:
cd ~/RRI_ML_workshop
git pull