tedana.selection.selection_utils.log_classification_counts

log_classification_counts(decision_node_idx: int, component_table: DataFrame) → None[source]

Log the total counts for each component classification in component_table.

Parameters:

decision_node_idx (int) – The index number for the function in the decision tree that just finished executing
component_table ((C x M) pandas.DataFrame) – Component metric table. One row for each component, with a column for each metric. Only the “classification” column is usd in this function

Returns:

The LGR.info logger will add a line like (‘Step 4 : Total component classifications: 10 accepted, 5 provisionalreject, 8 rejected’)