| def safe_divide(num: float, den: float) -> float: | |
| if den == 0: | |
| return 0 | |
| else: | |
| return num / den | |
| def f1_measure(precision: float, recall: float) -> float: | |
| if precision == 0 or recall == 0: | |
| return 0.0 | |
| return safe_divide(2 * precision * recall, (precision + recall)) | |
| def compute_metrics(total_correct, total_preds, total_gold): | |
| precision = safe_divide(total_correct, total_preds) | |
| recall = safe_divide(total_correct, total_gold) | |
| f1 = f1_measure(precision, recall) | |
| return precision, recall, f1 | |