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Update nlp.vectors to nlp.vocab.vectors (#5357)
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@ -111,7 +111,7 @@ Check whether a key has been mapped to a vector entry in the table.
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>
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> ```python
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> cat_id = nlp.vocab.strings["cat"]
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> nlp.vectors.add(cat_id, numpy.random.uniform(-1, 1, (300,)))
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> nlp.vocab.vectors.add(cat_id, numpy.random.uniform(-1, 1, (300,)))
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> assert cat_id in vectors
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> ```
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@ -315,7 +315,7 @@ performed in chunks, to avoid consuming too much memory. You can set the
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>
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> ```python
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> queries = numpy.asarray([numpy.random.uniform(-1, 1, (300,))])
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> most_similar = nlp.vectors.most_similar(queries, n=10)
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> most_similar = nlp.vocab.vectors.most_similar(queries, n=10)
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> ```
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| Name | Type | Description |
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