Enable to compute macro/weighted/perClass f1, recall, and precision 61
F1 score
python
>>> from seqeval.metrics import f1_score
>>> y_true = [['O', 'O', 'B-MISC', 'I-MISC', 'B-MISC', 'O', 'O'], ['B-PER', 'I-PER', 'O']]
>>> y_pred = [['O', 'O', 'B-MISC', 'I-MISC', 'B-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']]
>>> f1_score(y_true, y_pred, average=None)
array([0.5, 1. ])
>>> f1_score(y_true, y_pred, average='micro')