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
classifier
str
Select one from { RegularClassifier, ClassifierGridSearch, EvaluateClassifier }
dataset
str
Select one from { KaraOne, FEIS }
classifier
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
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]
karaone
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]
tfr_dataset_dir
path
Preferably use files/TFR/KaraOne/tfr_ds-1/
utils
path
path
Absolute path to the project directory utils/ folder
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