| import sklearn.metrics | |
| import numpy as np | |
| def f1_macro(targets, predictions): | |
| targets, predictions = np.asarray(targets).astype(str), np.asarray(predictions).astype(str) | |
| return {"f1_macro": 100*sklearn.metrics.f1_score(targets, predictions, average='macro')} | |