tedana.selection.selection_utils

Utility functions for tedana.selection

Functions

change_comptable_classifications(selector, ...)	Given information on whether a decision critereon is true or false for each component, change or don't change the component classification
clean_dataframe(component_table)	Reorder columns in component table so that "classification" and "classification_tags" are last.
comptable_classification_changer(selector, ...)	Implement the component classification changes from change_comptable_classifications.
confirm_metrics_exist(component_table, ...)	Confirm that all metrics declared in necessary_metrics are already included in comptable.
get_extend_factor([n_vols, extend_factor])	extend_factor is a scaler used to set a threshold for the d_table_score in the kundu decision tree.
getelbow(arr[, return_val])	Get elbow using linear projection method - moderate.
getelbow_cons(arr[, return_val])	Elbow using mean/variance method - conservative
kappa_elbow_kundu(component_table, n_echos)	Calculate an elbow for kappa using the approach originally in Prantik Kundu's MEICA v2.5 code
log_classification_counts(decision_node_idx, ...)	Log the total counts for each component classification in component_table.
log_decision_tree_step(function_name_idx, ...)	Logging text to add after every decision tree calculation
rho_elbow_kundu_liberal(component_table, n_echos)	Calculate an elbow for rho using the approach originally in Prantik Kundu's MEICA v2.5 code and with a slightly more liberal threshold
selectcomps2use(selector, decide_comps)	Get a list of component numbers that fit the classification types in decide_comps.