mirror of https://github.com/explosion/spaCy.git
Change clear_vectors to reset_vectors (resolves #1516)
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@ -18,7 +18,7 @@ def main(vectors_loc):
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with open(vectors_loc, 'rb') as file_:
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header = file_.readline()
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nr_row, nr_dim = header.split()
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nlp.vocab.clear_vectors(int(nr_dim))
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nlp.vocab.reset_vectors(width=int(nr_dim))
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for line in file_:
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line = line.decode('utf8')
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pieces = line.split()
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@ -162,24 +162,29 @@ p
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+cell int
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+cell The integer ID by which the flag value can be checked.
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+h(2, "clear_vectors") Vocab.clear_vectors
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+h(2, "reset_vectors") Vocab.reset_vectors
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+tag method
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+tag-new(2)
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p
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| Drop the current vector table. Because all vectors must be the same
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| width, you have to call this to change the size of the vectors.
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| width, you have to call this to change the size of the vectors. Only
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| one of the #[code width] and #[code shape] keyword arguments can be
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| specified.
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+aside-code("Example").
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nlp.vocab.clear_vectors(new_dim=300)
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nlp.vocab.reset_vectors(width=300)
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+table(["Name", "Type", "Description"])
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+row
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+cell #[code new_dim]
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+cell #[code width]
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+cell int
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+cell
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| Number of dimensions of the new vectors. If #[code None], size
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| is not changed.
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+cell The new width (keyword argument only).
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+row
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+cell #[code shape]
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+cell int
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+cell The new shape (keyword argument only).
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+h(2, "prune_vectors") Vocab.prune_vectors
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+tag method
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