Matthew Honnibal
83e364188c
Mostly finished loading refactoring. Design is in place, but doesn't work yet.
2016-09-24 15:42:01 +02:00
Matthew Honnibal
872695759d
Merge pull request #306 from wbwseeker/german_noun_chunks
...
add German noun chunk functionality
2016-04-08 00:54:24 +10:00
Henning Peters
b8f63071eb
add lang registration facility
2016-03-25 18:54:45 +01:00
Wolfgang Seeker
5e2e8e951a
add baseclass DocIterator for iterators over documents
...
add classes for English and German noun chunks
the respective iterators are set for the document when created by the parser
as they depend on the annotation scheme of the parsing model
2016-03-16 15:53:35 +01:00
Wolfgang Seeker
03fb498dbe
introduce lang field for LexemeC to hold language id
...
put noun_chunk logic into iterators.py for each language separately
2016-03-10 13:01:34 +01:00
Matthew Honnibal
963fe5258e
* Add missing __contains__ method to vocab
2016-03-08 15:49:10 +00:00
Matthew Honnibal
478aa21cb0
* Remove broken __reduce__ method on vocab
2016-03-08 15:48:21 +00:00
Henning Peters
931c07a609
initial proposal for separate vector package
2016-03-04 11:09:06 +01:00
Matthew Honnibal
a95974ad3f
* Fix oov probability
2016-02-06 15:13:55 +01:00
Matthew Honnibal
dcb401f3e1
* Remove broken Vocab pickling
2016-02-06 14:08:47 +01:00
Matthew Honnibal
63e3d4e27f
* Add comment on Vocab.__reduce__
2016-01-19 20:11:25 +01:00
Henning Peters
235f094534
untangle data_path/via
2016-01-16 12:23:45 +01:00
Henning Peters
846fa49b2a
distinct load() and from_package() methods
2016-01-16 10:00:57 +01:00
Henning Peters
788f734513
refactored data_dir->via, add zip_safe, add spacy.load()
2016-01-15 18:01:02 +01:00
Henning Peters
bc229790ac
integrate with sputnik
2016-01-13 19:46:17 +01:00
Matthew Honnibal
eaf2ad59f1
* Fix use of mock Package object
2015-12-31 04:13:15 +01:00
Matthew Honnibal
aec130af56
Use util.Package class for io
...
Previous Sputnik integration caused API change: Vocab, Tagger, etc
were loaded via a from_package classmethod, that required a
sputnik.Package instance. This forced users to first create a
sputnik.Sputnik() instance, in order to acquire a Package via
sp.pool().
Instead I've created a small file-system shim, util.Package, which
allows classes to have a .load() classmethod, that accepts either
util.Package objects, or strings. We can later gut the internals
of this and make it a proxy for Sputnik if we need more functionality
that should live in the Sputnik library.
Sputnik is now only used to download and install the data, in
spacy.en.download
2015-12-29 18:00:48 +01:00
Matthew Honnibal
0e2498da00
* Replace from_package with load() classmethod in Vocab
2015-12-29 16:56:51 +01:00
Henning Peters
8359bd4d93
strip data/ from package, friendlier Language invocation, make data_dir backward/forward-compatible
2015-12-18 09:52:55 +01:00
Henning Peters
9027cef3bc
access model via sputnik
2015-12-07 06:01:28 +01:00
Matthew Honnibal
6ed3aedf79
* Merge vocab changes
2015-11-06 00:48:08 +11:00
Matthew Honnibal
1e99fcd413
* Rename .repvec to .vector in C API
2015-11-03 23:47:59 +11:00
Matthew Honnibal
5887506f5d
* Don't expect lexemes.bin in Vocab
2015-11-03 13:23:39 +11:00
Matthew Honnibal
f11030aadc
* Remove out-dated TODO comment
2015-10-26 12:33:38 +11:00
Matthew Honnibal
a371a1071d
* Save and load word vectors during pickling, re Issue #125
2015-10-26 12:33:04 +11:00
Matthew Honnibal
314090cc78
* Set vectors length when unpickling vocab, re Issue #125
2015-10-26 12:05:08 +11:00
Matthew Honnibal
2348a08481
* Load/dump strings with a json file, instead of the hacky strings file we were using.
2015-10-22 21:13:03 +11:00
Matthew Honnibal
7a15d1b60c
* Add Python 2/3 compatibility fix for copy_reg
2015-10-13 20:04:40 +11:00
Matthew Honnibal
20fd36a0f7
* Very scrappy, likely buggy first-cut pickle implementation, to work on Issue #125 : allow pickle for Apache Spark. The current implementation sends stuff to temp files, and does almost nothing to ensure all modifiable state is actually preserved. The Language() instance is a deep tree of extension objects, and if pickling during training, some of the C-data state is hard to preserve.
2015-10-13 13:44:41 +11:00
Matthew Honnibal
f8de403483
* Work on pickling Vocab instances. The current implementation is not correct, but it may serve to see whether this approach is workable. Pickling is necessary to address Issue #125
2015-10-13 13:44:41 +11:00
Matthew Honnibal
85e7944572
* Start trying to pickle Vocab
2015-10-13 13:44:41 +11:00
Matthew Honnibal
41012907a8
* Fix variable name
2015-10-13 13:44:40 +11:00
Matthew Honnibal
37b909b6b6
* Use the symbols file in vocab instead of the symbols subfiles like attrs.pxd
2015-10-13 13:44:40 +11:00
Matthew Honnibal
d70e8cac2c
* Fix empty values in attributes and parts of speech, so symbols align correctly with the StringStore
2015-10-13 13:44:40 +11:00
Matthew Honnibal
a29c8ee23d
* Add symbols to the vocab before reading the strings, so that they line up correctly
2015-10-13 13:44:39 +11:00
Matthew Honnibal
85ce36ab11
* Refactor symbols, so that frequency rank can be derived from the orth id of a word.
2015-10-13 13:44:39 +11:00
Matthew Honnibal
83dccf0fd7
* Use io module insteads of deprecated codecs module
2015-10-10 14:13:01 +11:00
Matthew Honnibal
3d9f41c2c9
* Add LookupError for better error reporting in Vocab
2015-10-06 10:34:59 +11:00
alvations
8caedba42a
caught more codecs.open -> io.open
2015-09-30 20:20:09 +02:00
Matthew Honnibal
abf0d930af
* Fix API for loading word vectors from a file.
2015-09-23 23:51:08 +10:00
Matthew Honnibal
f7283a5067
* Fix vectors bugs for OOV words
2015-09-22 02:10:25 +02:00
Matthew Honnibal
ac459278d1
* Fix vector length error reporting, and ensure vec_len is returned
2015-09-21 18:08:32 +10:00
Matthew Honnibal
ba4e563701
* Ensure vectors are same length, and return vector length in load_vectors_bz2
2015-09-21 18:03:08 +10:00
Matthew Honnibal
d6945bf880
* Add way to load vectors from bz2 file to vocab
2015-09-17 12:58:23 +10:00
Matthew Honnibal
3d87519f64
* Remove vectors argument from Vocab object
2015-09-15 14:47:14 +10:00
Matthew Honnibal
27f988b167
* Remove the vectors option to Vocab, preferring to either load vectors from disk, or set them on the Lexeme objects.
2015-09-15 14:41:48 +10:00
Matthew Honnibal
e9c59693ea
* Remove assertion from vocab.pyx
2015-09-13 10:30:08 +10:00
Matthew Honnibal
e1dfaeed8a
* Check serializer freqs exist before loading
2015-09-12 23:49:38 +02:00
Matthew Honnibal
a412c66c8c
* Check serializer freqs exist before loading
2015-09-12 23:40:01 +02:00
Matthew Honnibal
e285ca7d6c
* Load serializer freqs in vocab
2015-09-10 15:22:48 +02:00
Matthew Honnibal
094440f9f5
Merge branch 'develop' of ssh://github.com/honnibal/spaCy into develop
2015-09-10 14:51:17 +02:00
Matthew Honnibal
90da3a695d
* Load lemmatizer from disk in Vocab.from_dir
2015-09-10 14:49:10 +02:00
Matthew Honnibal
f634191e27
* Fix vocab read/write
2015-09-10 14:44:38 +02:00
Matthew Honnibal
a7f4b26c8c
* Tmp
2015-09-09 14:33:26 +02:00
Matthew Honnibal
d6561988cf
* Fix lexemes.bin
2015-09-09 11:49:51 +02:00
Matthew Honnibal
c301bebd33
Merge branch 'master' of https://github.com/honnibal/spaCy into develop
2015-09-09 10:55:39 +02:00
Matthew Honnibal
623329b19a
Merge branch 'master' of ssh://github.com/honnibal/spaCy into develop
2015-09-08 14:27:01 +02:00
Matthew Honnibal
62a01dd41d
* Fix issue #92 : lexemes.bin read error on 32-bit platforms.
2015-09-08 14:23:58 +02:00
Matthew Honnibal
f6ec5bf1b0
* Use empty tag map in vocab if none supplied
2015-09-06 20:19:27 +02:00
Matthew Honnibal
534e3dda3c
* More work on language independent parsing
2015-08-28 03:44:54 +02:00
Matthew Honnibal
c2307fa9ee
* More work on language-generic parsing
2015-08-28 02:02:33 +02:00
Matthew Honnibal
1302d35dff
* Rework interfaces in vocab
2015-08-26 19:21:46 +02:00
Matthew Honnibal
6f1743692a
* Work on language-independent refactoring
2015-08-23 20:49:18 +02:00
Matthew Honnibal
cad0cca4e3
* Tmp
2015-08-22 22:04:34 +02:00
Matthew Honnibal
3d43f49f69
* Revert prev change
2015-07-27 10:58:15 +02:00
Matthew Honnibal
6b586cdad4
* Change lexemes.bin format. Add a header specifying size of LexemeC and number of lexemes, and don't have the redundant orth information.
2015-07-27 08:31:51 +02:00
Matthew Honnibal
8e4c69ee8c
* Add is_oov property, and fix up handling of attributes
2015-07-27 01:50:06 +02:00
Matthew Honnibal
fc268f03eb
* Assert against null pointer exceptions in vocab
2015-07-27 01:00:10 +02:00
Matthew Honnibal
0f093fdb30
* Fix get_by_orth for py3
2015-07-26 19:26:41 +02:00
Matthew Honnibal
ceeda5a739
* Fix get_by_orth for py3
2015-07-26 18:39:27 +02:00
Matthew Honnibal
6bb96c122d
* Host IS_ flags in attrs.pxd, and add properties for them on Token and Lexeme objects
2015-07-26 16:37:16 +02:00
Matthew Honnibal
7eb2446082
* Return empty lexeme on empty string
2015-07-26 00:18:30 +02:00
Matthew Honnibal
fd525f0675
* Pass OOV probability around
2015-07-25 23:29:51 +02:00
Matthew Honnibal
22028602a9
* Add unicode_literals declaration in vocab.pyx
2015-07-23 13:24:20 +02:00
Matthew Honnibal
a7c4d72e83
* Add serializer property to Vocab, and lazy-load it. Add get_by_orth method.
2015-07-23 01:18:19 +02:00
Matthew Honnibal
109106a949
* Replace UniStr, using unicode objects instead
2015-07-22 04:52:05 +02:00
Matthew Honnibal
1f7170e0e1
* Reinstate the fixed vocabulary --- words are only added to the lexicon in init_model, after that we create LexemeC structs with the Pool given to us.
2015-07-20 01:37:34 +02:00
Matthew Honnibal
317cbbc015
* Serialization round trip now working with decent API, but with rough spots in the organisation and requiring vocabulary to be fixed ahead of time.
2015-07-19 15:18:17 +02:00
Matthew Honnibal
82d84b0f2b
* Index lexemes by orth, instead of a lexemes vector. Breaks the mechanism for deciding not to own LexemeC structs during parsing. Need to reinstate this.
2015-07-18 22:42:15 +02:00
Matthew Honnibal
c2c83120d4
* Remove codec property from Vocab
2015-07-17 16:40:11 +02:00
Matthew Honnibal
db9dfd2e23
* Major refactor of serialization. Nearly complete now.
2015-07-17 01:27:54 +02:00
Matthew Honnibal
2a5d050134
* Give codec loading back to Vocab.
2015-07-16 17:45:42 +02:00
Matthew Honnibal
b59d271510
* Move serialization functionality into Serializer class
2015-07-16 11:23:48 +02:00
Matthew Honnibal
af5cc926a4
* Add codec property to Vocab, to use the Huffman encoding
2015-07-13 13:55:14 +02:00
Matthew Honnibal
abc43b852d
* Add pos_tags attr to Vocab.
2015-07-08 12:36:38 +02:00
Matthew Honnibal
c04e6ebca6
* Allow user to load different sized vectors.
2015-06-05 16:26:39 +02:00
Matthew Honnibal
adeb57cb1e
* Fix long line
2015-06-01 23:07:00 +02:00
Matthew Honnibal
eba7b34f66
* Add flag to disable loading of word vectors
2015-05-25 01:02:42 +02:00
Matthew Honnibal
e73eaf2d05
* Replace some assertions with proper errors
2015-05-08 16:52:17 +02:00
Jordan Suchow
3a8d9b37a6
Remove trailing whitespace
2015-04-19 13:01:38 -07:00
Matthew Honnibal
f0e0588833
* Fill L2 norm attribute on LexemeC struct
2015-02-07 08:44:42 -05:00
Matthew Honnibal
76d9394cb4
* Fix vocab.pyx for Python3
2015-02-01 13:14:04 +11:00
Matthew Honnibal
ce3ae8b5d9
* Fix platform-specific lexicon bug.
2015-01-31 16:38:58 +11:00
Matthew Honnibal
d4a493855e
* Fix error msg
2015-01-25 23:01:30 +11:00
Matthew Honnibal
c1c3dba4cb
* Check whether vector files are present before trying to load them.
2015-01-25 18:16:48 +11:00
Matthew Honnibal
fda94271af
* Rename NORM1 and NORM2 attrs to lower and norm
2015-01-24 06:17:03 +11:00
Matthew Honnibal
d460c28838
* Rename vec to repvec
2015-01-22 02:06:22 +11:00
Matthew Honnibal
6c7e44140b
* Work on word vectors, and other stuff
2015-01-17 16:21:17 +11:00
Matthew Honnibal
7d3c40de7d
* Tests passing after refactor. API has obvious warts, particularly in Token and Lexeme
2015-01-15 00:33:16 +11:00
Matthew Honnibal
0930892fc1
* Tmp. Working on refactor. Compiles, must hook up lexical feats.
2015-01-14 00:03:48 +11:00
