Run workflows

Execute the various workflows using the command:

python3 workflows/{file}.py

from the root of the project directory.

Workflows

Workflow Description

Workflow	Description
`download-karaone.py`	Download the KaraOne dataset from the KaraOne website. Saves the dataset to the `{raw_data_dir}` folder.
`features-karaone.py`, `features-feis.py`	Preprocess EEG data to extract relevant features for different `epoch_types`. Saves processed data as `.fif` files to the `{filtered_data_dir}`.
`ifs-classifier.py`	Train a classifier using preprocessed EEG data, utilizing Information Set Theory.
`flatten-classifier.py`	Flatten feature matrix to a vector for classifier input. Specify number of features in `features_select_k_best[k]` (`int`).
`flatten-classifier-KBest.py`	Run classifier over multiple `k` values for feature selection. Iterate over values in `features_select_k_best[k]` (`list[int]`).

download-karaone.py

Download the KaraOne dataset from the KaraOne website. Saves the dataset to the {raw_data_dir} folder.

features-karaone.py, features-feis.py

Preprocess EEG data to extract relevant features for different epoch_types. Saves processed data as .fif files to the {filtered_data_dir}.

ifs-classifier.py

Train a classifier using preprocessed EEG data, utilizing Information Set Theory.

flatten-classifier.py

Flatten feature matrix to a vector for classifier input. Specify number of features in features_select_k_best[k] (int).

flatten-classifier-KBest.py

Run classifier over multiple k values for feature selection. Iterate over values in features_select_k_best[k] (list[int]).

Last updated 2 months ago