77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from rapidfuzz.distance import Levenshtein
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import string
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class RecMetric(object):
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def __init__(self,
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main_indicator='acc',
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is_filter=False,
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ignore_space=True,
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**kwargs):
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self.main_indicator = main_indicator
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self.is_filter = is_filter
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self.ignore_space = ignore_space
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self.eps = 1e-5
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self.reset()
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def _normalize_text(self, text):
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text = ''.join(
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filter(lambda x: x in (string.digits + string.ascii_letters), text))
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return text.lower()
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def __call__(self, pred_label, *args, **kwargs):
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preds, labels = pred_label
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correct_num = 0
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all_num = 0
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norm_edit_dis = 0.0
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for (pred, pred_conf), (target, _) in zip(preds, labels):
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if self.ignore_space:
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pred = pred.replace(" ", "")
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target = target.replace(" ", "")
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if self.is_filter:
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pred = self._normalize_text(pred)
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target = self._normalize_text(target)
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norm_edit_dis += Levenshtein.normalized_distance(pred, target)
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if pred == target:
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correct_num += 1
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all_num += 1
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self.correct_num += correct_num
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self.all_num += all_num
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self.norm_edit_dis += norm_edit_dis
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return {
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'acc': correct_num / (all_num + self.eps),
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'norm_edit_dis': 1 - norm_edit_dis / (all_num + self.eps)
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}
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def get_metric(self):
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"""
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return metrics {
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'acc': 0,
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'norm_edit_dis': 0,
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}
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"""
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acc = 1.0 * self.correct_num / (self.all_num + self.eps)
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norm_edit_dis = 1 - self.norm_edit_dis / (self.all_num + self.eps)
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self.reset()
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return {'acc': acc, 'norm_edit_dis': norm_edit_dis}
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def reset(self):
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self.correct_num = 0
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self.all_num = 0
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self.norm_edit_dis = 0
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