Matthew Honnibal
8a9e318deb
Put the parsing loop in a nogil prange block
2017-05-22 17:58:12 -05:00
Matthew Honnibal
e2136232f9
Exclude states with no matching gold annotations from parsing
2017-05-22 10:30:12 -05:00
Matthew Honnibal
2a5eb9f61e
Make nonproj methods top-level functions, instead of class methods
2017-05-22 04:51:08 -05:00
Matthew Honnibal
025d9bbc37
Fix handling of non-projective deps
2017-05-22 04:51:08 -05:00
Matthew Honnibal
1b5fa68996
Do pseudo-projective pre-processing for parser
2017-05-22 04:51:08 -05:00
Matthew Honnibal
3b7c108246
Pass tokvecs through as a list, instead of concatenated. Also fix padding
2017-05-20 13:23:32 -05:00
Matthew Honnibal
d52b65aec2
Revert "Move to contiguous buffer for token_ids and d_vectors"
...
This reverts commit 3ff8c35a79
2017-05-20 11:26:23 -05:00
Matthew Honnibal
b272890a8c
Try to move parser to simpler PrecomputedAffine class. Currently broken -- maybe the previous change
2017-05-20 06:40:10 -05:00
Matthew Honnibal
3ff8c35a79
Move to contiguous buffer for token_ids and d_vectors
2017-05-20 04:17:30 -05:00
Matthew Honnibal
a1ba20e2b1
Fix over-run on parse_batch
2017-05-19 18:57:30 -05:00
Matthew Honnibal
e84de028b5
Remove 'rebatch' op, and remove min-batch cap
2017-05-19 18:16:36 -05:00
Matthew Honnibal
c12ab47a56
Remove state argument in pipeline. Other changes
2017-05-19 13:26:36 -05:00
Matthew Honnibal
c2c825127a
Fix use_params and pipe methods
2017-05-18 08:30:59 -05:00
Matthew Honnibal
fc8d3a112c
Add util.env_opt support: Can set hyper params through environment variables.
2017-05-18 04:36:53 -05:00
Matthew Honnibal
d2626fdb45
Fix name error in nn parser
2017-05-18 04:31:01 -05:00
Matthew Honnibal
793430aa7a
Get spaCy train command working with neural network
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* Integrate models into pipeline
* Add basic serialization (maybe incorrect)
* Fix pickle on vocab
2017-05-17 12:04:50 +02:00
Matthew Honnibal
8cf097ca88
Redesign training to integrate NN components
...
* Obsolete .parser, .entity etc names in favour of .pipeline
* Components no longer create models on initialization
* Models created by loading method (from_disk(), from_bytes() etc), or
.begin_training()
* Add .predict(), .set_annotations() methods in components
* Pass state through pipeline, to allow components to share information
more flexibly.
2017-05-16 16:17:30 +02:00
Matthew Honnibal
5211645af3
Get data flowing through pipeline. Needs redesign
2017-05-16 11:21:59 +02:00
Matthew Honnibal
a9edb3aa1d
Improve integration of NN parser, to support unified training API
2017-05-15 21:53:27 +02:00
Matthew Honnibal
5cac951a16
Move new parser to nn_parser.pyx, and restore old parser, to make tests pass.
2017-05-14 00:55:01 +02:00
