config.yaml

# Configuration for Thought-to-Text Decoder Model

_select:
  classifier: RegularClassifier  #  RegularClassifier, ClassifierGridSearch, EvaluateClassifier
  dataset: KaraOne                # Choose your primary dataset

classifier:
  features_select_k_best:
    k: [5, 10, 15]
    score_func: f_classif         # Use ANOVA F-value for feature ranking
  model_base_dir: C:\Users\wired\OneDrive\Desktop\Projects\ttt\ttt\files\models    # Path to your trained models
  models: [model_1, model_2]      # List specific model folders within the base directory
  n_splits: 5                     # Standard 5-fold cross-validation
  random_state: 42                # Reproducibility seed
  test_size: 0.2                  # Typical 80/20 split for training/testing
  trial_size: null                # Use the full dataset for evaluation (no sampling)

feis:                     # FEIS dataset configuration (likely unused initially)
  epoch_type: thinking      # If using, focus on thought-related epochs
  features_dir: files/Features/FEIS/features-1/ 
  raw_data_dir: files/Data/FEIS/data_eeg/
  subjects: all            # Start with all subjects for broader training
  tasks: [0]                # Only task 0 is available in FEIS
  channels:
karaone:                  # KaraOne dataset configuration (the focus)
  epoch_type: thinking      # Most relevant for thought-to-text
  features_dir: files/Features/KaraOne/features/
  filtered_data_dir: files/Data/KaraOne/filtered_data/  # Assumes pre-filtered data
  length_factor: 0.5       # Adjust window length based on data specifics
  overlap: 0.2             # Moderate overlap to capture transitions
  raw_data_dir: C:\Users\wired\OneDrive\Desktop\Projects\ttt\ttt\workflows\files\Data\KaraOne\EEG_raw #ttt/workflows/files/Data/KaraOne/EEG_raw/         # For raw data, if needed
  subjects: all            # Initial training on all subjects
  tasks: [0, 1]       # Experiment with different KaraOne tasks
  tfr_dataset_dir: files/TFR/KaraOne/tfr_ds-1/    # If using time-frequency representations
  channels: []
utils:
  path: /path/to/your/project/utils/