import numpy as np import sklearn def multi_f1(items): """ Computes the macro-average F1 score. """ preds, golds = zip(*items) preds = np.array(preds) golds = np.array(golds) fscore = sklearn.metrics.f1_score(golds, preds, average="macro") return fscore
