config.yaml

data_folder: ./data/
cache_dir: ./joblib/
results_folder: ./results/test/
save_fn: test # Filename to save results
mode: MCCA # Feature space to use for decoding. Must be one of ['MCCA', 'PCA', 'sensorspace']
n_pcs: 50 # Number of PCA components to retain for each subject (int)
n_ccs: 10 # Number of MCCA components to retain (int)
r: 0 # Regularization strength. (int / float)
# Specifies which trials from new / left-out subject to use for estimating
# projection weights from new subject into the shared MCCA space of previous
# subjects. Must be one of ['all', 'nested_cv', 'split'] or int.
#     'all': Use all trials from new / left-out subject
#     'nested_cv': Use nested 5-fold cross-validation
#     'split': Use 50 % train / 50 % test split
#     int: Use this many training trials per class, the rest is used for testing
new_subject_trials: nested_cv
tsss_realignment: false # Whether to use tSSS realignment