b1ec0299de53bdc03870c39b00a1c88ff35cf0ea,anago/callbacks.py,F1score,on_epoch_end,#F1score#Any#Any#,16

Before Change

            y_true = self.p.inverse_transform(y_true)
            y_pred = self.p.inverse_transform(y_pred)
            y_pred = [y_p[:len(y_t)] for y_t, y_p in zip(y_true, y_pred)]
            for y_t, y_p in zip(y_true, y_pred):
                assert len(y_t) == len(y_p)

            label_true.extend(y_true)
            label_pred.extend(y_pred)

        score = f1_score(label_true, label_pred)

After Change

        score = f1_score(label_true, label_pred)
        print(" - f1: {:04.2f}".format(score * 100))
        print(classification_report(label_true, label_pred))
        logs["f1"] = score

Instances