wehub-resource-sync
38 lines
1.4 KiB
Python
38 lines
1.4 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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import unittest
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import paddle
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from paddlenlp.metrics import ChunkEvaluator
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class TestChunk(unittest.TestCase):
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def test_metrics(self):
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label_list = ["O", "B-Person", "I-Person"]
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evaluator = ChunkEvaluator(label_list)
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evaluator.reset()
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lengths = paddle.to_tensor([5])
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predictions = paddle.to_tensor([[0, 1, 2, 1, 2]])
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labels = paddle.to_tensor([[0, 1, 2, 1, 1]])
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num_infer_chunks, num_label_chunks, num_correct_chunks = evaluator.compute(
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lengths=lengths, predictions=predictions, labels=labels
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)
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evaluator.update(num_infer_chunks.numpy(), num_label_chunks.numpy(), num_correct_chunks.numpy())
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precision, recall, f1 = evaluator.accumulate()
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self.assertEqual(precision, 0.5)
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self.assertEqual(recall, 0.3333333333333333)
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self.assertEqual(f1, 0.4)
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