Configuration file

The configuration file config.yaml contains the paths to the data files and the parameters for the different workflows.

Refer to config-template.yaml for the template.

_select

Parameter	Type	Description
classifier	str	Select one from { RegularClassifier, ClassifierGridSearch, EvaluateClassifier }
dataset	str	Select one from { KaraOne, FEIS }

classifier

Parameter	Type	Description
features_select_k_best:	dict
- k	int list[int]	Number of top features to select
- score_func	str	Name of the score function for ranking features (pearsonr, f_classif)
model_base_dir	path	Preferably use files/Models/
models	list[str]	List of directory names containing model.py within them
n_splits	int	Number of splits in cross-validation
random_state	int	Seed value
test_size	float	Size of test split
trial_size	float null	Fraction of dataset for testing purposes (use null for entire dataset)

feis

Parameter	Type	Description
epoch_type	str	One from { thinking, speaking, stimuli }
features_dir	path	Preferably use files/Features/FEIS/features-1/
raw_data_dir	path	Preferably use files/Data/FEIS/data_eeg/
subjects	'all' list[int] list[str]	Specify subjects to use (use 'all' for all subjects)
tasks	list[int]	Available tasks: [0]. Refer FEISDataLoader.get_task();

karaone

Parameter	Type	Description
epoch_type	str	One from { thinking, speaking, stimuli, clearing }
features_dir	path	Preferably use files/Features/KaraOne/features-1/
filtered_data_dir	path	Preferably use files/Data/KaraOne/EEG_data-1/
length_factor	float	Determines the window length
overlap	float	Determines the overlap between consecutive windows
raw_data_dir	path	Preferably use files/Data/KaraOne/EEG_raw/
subjects	'all' list[int] list[str]	Specify subjects to use (use 'all' for all subjects)
tasks	list[int]	Available tasks: [0, 1, 2, 3, 4]. Refer KaraOneDataLoader.get_task();
tfr_dataset_dir	path	Preferably use files/TFR/KaraOne/tfr_ds-1/

utils

Parameter	Type	Description
path	path	Absolute path to the project directory utils/ folder