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Author SHA1 Message Date
Matthew Honnibal bede11b67c
Improve label management in parser and NER (#2108) 
This patch does a few smallish things that tighten up the training workflow a little, and allow memory use during training to be reduced by letting the GoldCorpus stream data properly.

Previously, the parser and entity recognizer read and saved labels as lists, with extra labels noted separately. Lists were used becaue ordering is very important, to ensure that the label-to-class mapping is stable.

We now manage labels as nested dictionaries, first keyed by the action, and then keyed by the label. Values are frequencies. The trick is, how do we save new labels? We need to make sure we iterate over these in the same order they're added. Otherwise, we'll get different class IDs, and the model's predictions won't make sense.

To allow stable sorting, we map the new labels to negative values. If we have two new labels, they'll be noted as having "frequency" -1 and -2. The next new label will then have "frequency" -3. When we sort by (frequency, label), we then get a stable sort.

Storing frequencies then allows us to make the next nice improvement. Previously we had to iterate over the whole training set, to pre-process it for the deprojectivisation. This led to storing the whole training set in memory. This was most of the required memory during training.

To prevent this, we now store the frequencies as we stream in the data, and deprojectivize as we go. Once we've built the frequencies, we can then apply a frequency cut-off when we decide how many classes to make.

Finally, to allow proper data streaming, we also have to have some way of shuffling the iterator. This is awkward if the training files have multiple documents in them. To solve this, the GoldCorpus class now writes the training data to disk in msgpack files, one per document. We can then shuffle the data by shuffling the paths.

This is a squash merge, as I made a lot of very small commits. Individual commit messages below.

* Simplify label management for TransitionSystem and its subclasses

* Fix serialization for new label handling format in parser

* Simplify and improve GoldCorpus class. Reduce memory use, write to temp dir

* Set actions in transition system

* Require thinc 6.11.1.dev4

* Fix error in parser init

* Add unicode declaration

* Fix unicode declaration

* Update textcat test

* Try to get model training on less memory

* Print json loc for now

* Try rapidjson to reduce memory use

* Remove rapidjson requirement

* Try rapidjson for reduced mem usage

* Handle None heads when projectivising

* Stream json docs

* Fix train script

* Handle projectivity in GoldParse

* Fix projectivity handling

* Add minibatch_by_words util from ud_train

* Minibatch by number of words in spacy.cli.train

* Move minibatch_by_words util to spacy.util

* Fix label handling

* More hacking at label management in parser

* Fix encoding in msgpack serialization in GoldParse

* Adjust batch sizes in parser training

* Fix minibatch_by_words

* Add merge_subtokens function to pipeline.pyx

* Register merge_subtokens factory

* Restore use of msgpack tmp directory

* Use minibatch-by-words in train

* Handle retokenization in scorer

* Change back-off approach for missing labels. Use 'dep' label

* Update NER for new label management

* Set NER tags for over-segmented words

* Fix label alignment in gold

* Fix label back-off for infrequent labels

* Fix int type in labels dict key

* Fix int type in labels dict key

* Update feature definition for 8 feature set

* Update ud-train script for new label stuff

* Fix json streamer

* Print the line number if conll eval fails

* Update children and sentence boundaries after deprojectivisation

* Export set_children_from_heads from doc.pxd

* Render parses during UD training

* Remove print statement

* Require thinc 6.11.1.dev6. Try adding wheel as install_requires

* Set different dev version, to flush pip cache

* Update thinc version

* Update GoldCorpus docs

* Remove print statements

* Fix formatting and links [ci skip]
 2018-03-19 02:58:08 +01:00
Matthew Honnibal 318c23d318 Increment thinc 2018-03-16 13:12:53 +01:00
Matthew Honnibal 39c50225e8 Update thinc 2018-03-16 03:57:47 +01:00
Matthew Honnibal 7be561c8be Fix thinc requirement 2018-03-16 03:34:12 +01:00
Matthew Honnibal 53df6d867b Require new thinc 2018-03-16 03:20:01 +01:00
Matthew Honnibal 791631f433 Require thinc 6.11.0 2018-03-16 02:51:54 +01:00
Matthew Honnibal f128e160ea Add missing cytoolz requirement 2018-03-13 13:08:12 +01:00
ines 8c09850354 Version-lock msgpack-python (see #2015) 2018-02-22 13:25:52 +01:00
ines 6bba1db4cc Drop six and related hacks as a dependency 2018-02-18 13:29:56 +01:00
Matthew Honnibal 2b2ce125d5 Fix thinc version pin 2017-12-06 13:23:35 +01:00
Matthew Honnibal 04a92bd75e Pin msgpack-numpy requirement 2017-12-06 03:24:24 +01:00
Matthew Honnibal 5719fd1ce9 Require dev1 of thinc 2017-12-05 10:52:48 +01:00
Matthew Honnibal 716ccbb71e Require thinc 6.10.1 2017-11-15 14:59:34 +01:00
Matthew Honnibal 314f5b9cdb Require thinc 6.10.0 2017-10-28 18:20:10 +00:00
Matthew Honnibal 32b9f3d1a6 Require new thinc 2017-10-03 22:17:31 +02:00
Matthew Honnibal b49cc8153a Require correct thinc 2017-09-26 10:00:18 -05:00
ines 665cdab58d Port over change from #1126 2017-09-26 16:51:52 +02:00
Matthew Honnibal 8c390e23a2 Require older Cython 2017-09-26 14:14:46 +02:00
ines 68f66aebf8 Use pkg_resources instead of pip for is_package (resolves #1293) 2017-09-16 20:27:59 +02:00
Matthew Honnibal 07cdbd1219 Require thinc 6.8.1, for Windows 2017-09-15 22:47:53 +02:00
Matthew Honnibal f9ae86b01c Fix requirement 2017-08-18 20:56:53 +02:00
Matthew Honnibal 60d8111245 Require thinc 6.8.1 2017-08-15 03:12:26 -05:00
Matthew Honnibal ff7418b0d9 Update requirements 2017-07-25 18:58:15 +02:00
Matthew Honnibal a4dcc96c54 Require thinc bugfix 2017-06-05 04:02:52 -05:00
ines 71954d5fe7 Update Thinc version 2017-06-03 10:32:53 +02:00
ines f45cd174bf Update Thinc version 2017-06-02 18:48:16 +02:00
Matthew Honnibal ae8010b526 Move weight serialization to Thinc 2017-06-01 02:56:12 -05:00
Matthew Honnibal 2e364f7ecd Require msgpack 2017-05-29 13:47:29 +02:00
Matthew Honnibal 8c9b3d5ad7 Add mock to requirements 2017-05-20 13:54:31 +02:00
ines 3cc6fe1484 Add pip to requirements.txt and setup.py 2017-05-17 12:04:03 +02:00
Matthew Honnibal 48de4ed49f Require thinc 6.6, and compile the nn_parser module 2017-05-14 01:20:28 +02:00
Ines Montani 40a8f22ca7 Relax version contraint 2017-04-20 15:38:52 +02:00
Gyorgy Orosz 4a06a2572c Using ftfy for handling broken encoded strings. 2017-04-20 13:34:51 +02:00
ines 90cf6b9429 Add pytest to requirements.txt 2017-04-16 20:37:45 +02:00
Matthew Honnibal eedafd8d82 Fix regex version pin 2017-04-07 17:47:11 +02:00
ines c691caa9d3 Fix requests version 2017-04-07 17:35:35 +02:00
Matthew Honnibal a001365c42 Require regex library 2017-04-07 15:43:34 +02:00
ines 387e34a3c5 Update plac version in requirements and setup 2017-03-18 15:14:02 +01:00
ines 4c53eed35a Remove sputnik from dependencies and docs 2017-03-15 17:39:25 +01:00
ines b62322d602 Add requests to requirements 2017-03-15 17:39:08 +01:00
Matthew Honnibal cb39b6e337 Require recent thinc 2017-03-11 12:45:22 -06:00
Matthew Honnibal 93ab888d1d Require recent preshed 2017-03-11 12:33:56 -06:00
ines ffe0f0c6c4 Add dill to requirements 2017-03-08 14:11:54 +01:00
Raphaël Bournhonesque 0c2e5539ce Specify version number for ujson and plac 
The required version was specified for plac in requirements.txt but not in setup.py, which could cause a conflicting version error.
Similarly, set the version of ujson in requirements.txt to be the same as in setup.py
 2017-01-28 18:38:14 +01:00
Matthew Honnibal d4e6d4c1c4 Use new thinc 2017-01-16 13:17:14 +01:00
Matthew Honnibal c9fdd9917c Require older thinc 2017-01-09 10:12:41 -06:00
Matthew Honnibal 7108ad9d80 Require thinc 6.1 2017-01-09 14:37:00 +01:00
Matthew Honnibal af81ac8bb0 Use thinc 6.0 2016-12-29 11:58:42 +01:00
Matthew Honnibal 7c5fe84b80 Require older preshed, for thinc compatibility. 2016-10-09 12:25:53 +02:00
Matthew Honnibal d61feffe24 Require new preshed 2016-09-30 18:41:01 +02:00