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Analysis of Neural Data Using RF Variants

Here, we use RF, SPORF, SRerf, and MTMORF to analyze the neural data of subjects in a motor task.

Installation

We require the following packages to run experiments:

numpy
scipy
scikit-learn
mlxtend
pingouin
mne
mne-bids
pybv
joblib
tqdm
matplotlib
seaborn
rerf # built locally

Use pipenv with a virtual environment.

# create venv here if not alreayd made
python3.8 -m venv .venv

# install dev packages
pipenv install --dev

# if dev versions are needed
pipenv install https://api.github.com/repos/mne-tools/mne-bids/zipball/master

# make packedForest
cd ../packedForest
make

# pip install into venv
cd ../Python
pipenv run pip install -e .

Note on Compiling PackedForest on Macs

It is recommended to use a conda environment and then follow the instructions on the installation instructions.

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