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* Work on api.rst

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Matthew Honnibal 2015-01-27 16:47:28 +11:00
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docs/source/api.rst
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@ -2,18 +2,7 @@
API API
=== ===
.. warning:: The documentation is currently being rewritten. I started out .. autoclass:: spacy.en.English
using Sphinx, but I've found it too limiting.
For now, the docs here are incomplete and may even tell you lies (please
report the lies).
.. py:currentmodule:: spacy
.. class:: en.English(self, data_dir=join(dirname(__file__, 'data')))
:noindex:
.. method:: __call__(self, unicode text, tag=True, parse=False) --> Tokens
+-----------+----------------------------------------+-------------+--------------------------+ +-----------+----------------------------------------+-------------+--------------------------+
| Attribute | Type | Attr API | NoteS | | Attribute | Type | Attr API | NoteS |
@ -29,17 +18,12 @@ API
| parser | :py:class:`syntax.parser.GreedyParser` | __call__ | Set parse on Tokens | | parser | :py:class:`syntax.parser.GreedyParser` | __call__ | Set parse on Tokens |
+-----------+----------------------------------------+-------------+--------------------------+ +-----------+----------------------------------------+-------------+--------------------------+
.. py:class:: tokens.Tokens(self, vocab: Vocab, string_length=0)
.. py:method:: __getitem__(self, i) --> Token .. automethod:: spacy.en.English.__call__
.. py:method:: __iter__(self) --> Iterator[Token]
.. py:method:: __len__(self) --> int .. autoclass:: spacy.tokens.Tokens
:members:
.. py:method:: to_array(self, attr_ids: List[int]) --> numpy.ndarray[ndim=2, dtype=int32]
.. py:method:: count_by(self, attr_id: int) --> Dict[int, int]
+---------------+-------------+-------------+ +---------------+-------------+-------------+
| Attribute | Type | Useful | | Attribute | Type | Useful |
@ -49,19 +33,24 @@ API
| vocab.strings | StringStore | __getitem__ | | vocab.strings | StringStore | __getitem__ |
+---------------+-------------+-------------+ +---------------+-------------+-------------+
.. py:class:: tokens.Token(self, parent: Tokens, i: int)
.. py:method:: __unicode__(self) --> unicode Internals
A Tokens instance stores the annotations in a C-array of TokenC structs.
Each TokenC struct holds a const pointer to a LexemeC struct, which describes
a vocabulary item.
.. py:method:: __len__(self) --> int The Token objects are built lazily, from this underlying C-data.
.. py:method:: nbor(self, i=1) --> Token For faster access, the underlying C data can be accessed from Cython. You
can also export the data to a numpy array, via Tokens.to_array, if pure Python
access is required, and you need slightly better performance. However, this
is both slower and has a worse API than Cython access.
.. py:method:: child(self, i=1) --> Token .. Once a Token object has been created, it is persisted internally in Tokens._py_tokens.
.. py:method:: sibling(self, i=1) --> Token
.. py:attribute:: head: Token .. autoclass:: spacy.tokens.Token
:members:
+-----------+------+-----------+---------+-----------+------------------------------------+ +-----------+------+-----------+---------+-----------+------------------------------------+