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Update docstrings and API docs for Doc class
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@ -267,7 +267,10 @@ cdef class Doc:
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self._vector = value
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self._vector = value
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property vector_norm:
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property vector_norm:
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# TODO: docstrings / docs
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"""The L2 norm of the document's vector representation.
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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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def __get__(self):
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if 'vector_norm' in self.user_hooks:
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if 'vector_norm' in self.user_hooks:
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return self.user_hooks['vector_norm'](self)
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return self.user_hooks['vector_norm'](self)
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@ -501,6 +501,19 @@ p
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+cell #[code numpy.ndarray[ndim=1, dtype='float32']]
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+cell #[code numpy.ndarray[ndim=1, dtype='float32']]
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+cell A 1D numpy array representing the document's semantics.
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+cell A 1D numpy array representing the document's semantics.
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+h(2, "vector_norm") Doc.vector_norm
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+tag property
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+tag requires model
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p
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| The L2 norm of the document's vector representation.
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+table(["Name", "Type", "Description"])
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+footrow
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+cell return
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+cell float
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+cell The L2 norm of the vector representation.
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+h(2, "attributes") Attributes
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+h(2, "attributes") Attributes
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+table(["Name", "Type", "Description"])
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+table(["Name", "Type", "Description"])
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@ -514,6 +527,11 @@ p
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+cell #[code Vocab]
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+cell #[code Vocab]
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+cell The store of lexical types.
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+cell The store of lexical types.
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+row
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+cell #[code tensor]
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+cell object
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+cell Container for dense vector representations.
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+row
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+row
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+cell #[code user_data]
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+cell #[code user_data]
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+cell -
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+cell -
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