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update tests to use label_smoothing = 0.0
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@ -160,7 +160,7 @@ def test_no_data():
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def test_incomplete_data():
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# Test that the tagger works with incomplete information
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nlp = English()
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nlp.add_pipe("tagger")
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nlp.add_pipe("tagger", config=dict(label_smoothing=0.0))
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train_examples = []
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for t in PARTIAL_DATA:
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train_examples.append(Example.from_dict(nlp.make_doc(t[0]), t[1]))
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@ -180,7 +180,7 @@ def test_incomplete_data():
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def test_overfitting_IO():
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# Simple test to try and quickly overfit the tagger - ensuring the ML models work correctly
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nlp = English()
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tagger = nlp.add_pipe("tagger")
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tagger = nlp.add_pipe("tagger", config=dict(label_smoothing=0.0))
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train_examples = []
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for t in TRAIN_DATA:
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train_examples.append(Example.from_dict(nlp.make_doc(t[0]), t[1]))
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@ -115,6 +115,7 @@ cfg_string = """
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[components.tagger]
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factory = "tagger"
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label_smoothing = 0.0
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[components.tagger.model]
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@architectures = "spacy.Tagger.v2"
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