mirror of https://github.com/explosion/spaCy.git
Relax test
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@ -104,7 +104,7 @@ def test_overfitting_IO():
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doc = nlp(test_text)
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doc = nlp(test_text)
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cats = doc.cats
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cats = doc.cats
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# note that by default, exclusive_classes = false so we need a bigger error margin
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# note that by default, exclusive_classes = false so we need a bigger error margin
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assert cats["POSITIVE"] > 0.9
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assert cats["POSITIVE"] > 0.8
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assert cats["POSITIVE"] + cats["NEGATIVE"] == pytest.approx(1.0, 0.1)
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assert cats["POSITIVE"] + cats["NEGATIVE"] == pytest.approx(1.0, 0.1)
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# Also test the results are still the same after IO
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# Also test the results are still the same after IO
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@ -113,7 +113,7 @@ def test_overfitting_IO():
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nlp2 = util.load_model_from_path(tmp_dir)
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nlp2 = util.load_model_from_path(tmp_dir)
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doc2 = nlp2(test_text)
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doc2 = nlp2(test_text)
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cats2 = doc2.cats
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cats2 = doc2.cats
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assert cats2["POSITIVE"] > 0.9
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assert cats2["POSITIVE"] > 0.8
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assert cats2["POSITIVE"] + cats2["NEGATIVE"] == pytest.approx(1.0, 0.1)
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assert cats2["POSITIVE"] + cats2["NEGATIVE"] == pytest.approx(1.0, 0.1)
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# Test scoring
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# Test scoring
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