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Test beam parsing

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This commit is contained in:
Matthew Honnibal 2017-07-20 15:03:10 +02:00
parent 3da1063b36
commit 289f23df51
1 changed files with 8 additions and 0 deletions
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spacy/tests/parser/test_neural_parser.py
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@ -71,3 +71,11 @@ def test_update_doc(parser, tok2vec, model, doc, gold):
weights -= 0.001 * gradient weights -= 0.001 * gradient
bp_tokvecs(d_tokvecs, sgd=optimize) bp_tokvecs(d_tokvecs, sgd=optimize)
assert d_tokvecs[0].sum() == 0. assert d_tokvecs[0].sum() == 0.
def test_predict_doc_beam(parser, tok2vec, model, doc):
doc.tensor = tok2vec([doc])[0]
parser.model = model
parser(doc, beam_width=32, beam_density=0.001)
for word in doc:
print(word.text, word.head, word.dep_)