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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import paddle
__all__ = ['KIEMetric']
class VQASerTokenMetric(object):
def __init__(self, main_indicator='hmean', **kwargs):
self.main_indicator = main_indicator
self.reset()
def __call__(self, preds, batch, **kwargs):
preds, labels = preds
self.pred_list.extend(preds)
self.gt_list.extend(labels)
def get_metric(self):
from seqeval.metrics import f1_score, precision_score, recall_score
metrics = {
"precision": precision_score(self.gt_list, self.pred_list),
"recall": recall_score(self.gt_list, self.pred_list),
"hmean": f1_score(self.gt_list, self.pred_list),
}
self.reset()
return metrics
def reset(self):
self.pred_list = []
self.gt_list = []
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