Bayesian Optimization of Parameters for Ocular Artifact Detection and Removal, and Classification of 4-class motor-imagery EEG data.

• Anaconda 2.7 python packages (recommended)
• mne
• protobuf
• skll

or

• Python 2.7
• SciPy
• NumPy
• Scikit-Learn
• mne
• protobuf
• skll

Refer to the installation guide of each dependency.

1. Install spearmint: sudo python d606/spearmint/setup.py install

2. Get the data: Download the dataset (001-2014), then create a folder called 'matfiles' and move the .mat files there.

Optimize hyperparameters:

python d606/optimizeparams.py

Evaluate:

python d606/main.py [subject]