def get_f1_pre_rec(self, labels, prediction):
pre, rec, f1, _ = precision_recall_fscore_support(
y_true = labels,
y_pred = prediction,
labels = [self.labels_dict[i] for i in self.labels_list])
counts = np.zeros([6, 1])
for i in labels:
counts[i] += 1
return np.expand_dims(pre,1), np.expand_dims(rec,1), np.expand_dims(f1,1), counts
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