mirror of https://github.com/explosion/spaCy.git
Remove vectors from lexeme
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15f6efc127
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@ -136,12 +136,7 @@ cdef class Lexeme:
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RETURNS (bool): Whether a word vector is associated with the object.
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"""
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def __get__(self):
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cdef int i
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for i in range(self.vocab.vectors_length):
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if self.c.vector[i] != 0:
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return True
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else:
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return False
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return self.vocab.has_vector(self.c.orth)
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property vector_norm:
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"""The L2 norm of the lexeme's vector representation.
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@ -149,10 +144,8 @@ cdef class Lexeme:
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RETURNS (float): The L2 norm of the vector representation.
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"""
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def __get__(self):
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return self.c.l2_norm
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def __set__(self, float value):
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self.c.l2_norm = value
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vector = self.vector
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return numpy.sqrt((vector**2).sum())
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property vector:
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"""A real-valued meaning representation.
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@ -169,27 +162,16 @@ cdef class Lexeme:
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"model doesn't include word vectors. For more info, see "
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"the documentation: \n%s\n" % about.__docs_models__
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)
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vector_view = <float[:length,]>self.c.vector
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return numpy.asarray(vector_view)
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return self.vocab.get_vector(self.c.orth)
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def __set__(self, vector):
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assert len(vector) == self.vocab.vectors_length
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cdef float value
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cdef double norm = 0.0
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for i, value in enumerate(vector):
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self.c.vector[i] = value
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norm += value * value
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self.c.l2_norm = sqrt(norm)
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self.vocab.set_vector(self.c.orth, vector)
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property rank:
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def __get__(self):
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return self.c.id
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property repvec:
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def __get__(self):
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raise AttributeError("lex.repvec has been renamed to lex.vector")
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property sentiment:
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def __get__(self):
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return self.c.sentiment
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@ -320,7 +302,6 @@ cdef class Lexeme:
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def __get__(self): return Lexeme.c_check_flag(self.c, IS_RIGHT_PUNCT)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, IS_RIGHT_PUNCT, x)
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property like_url:
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def __get__(self): return Lexeme.c_check_flag(self.c, LIKE_URL)
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def __set__(self, bint x): Lexeme.c_set_flag(self.c, LIKE_URL, x)
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