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262 Commits

Author SHA1 Message Date
Matthew Honnibal
1f7229f40f Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop" 
This reverts commit c9ba3d3c2d, reversing
changes made to 92c26a35d4.
 2018-03-27 19:23:02 +02:00
Justin DuJardin
4eeb178856 Add example using TensorBoard standalone projector 
- the tensorboard standalone project expects a different set of files than the plugin to TensorFlow.
 2018-03-25 21:50:13 -07:00
ines
4ec2809eb5 Port over TensorBoard example 2018-03-24 17:15:48 +01:00
Matthew Honnibal
00557c5fdd Add example of NER multitask objective 2018-01-21 19:46:37 +01:00
avinash
b379c9d7d3 typos corrected 2018-01-03 16:54:22 +05:30
mpuels
1e8147aec7
fix: Add missing period in train data 2017-12-13 10:51:05 +01:00
mpuels
ee4d6fdd40
Fix typo in comment 2017-12-09 13:14:57 +01:00
ines
726fb2d0b5 Use fewer iterations by default to avoid overfitting on blank model (resolves #1632) 2017-11-23 15:27:12 +01:00
ines
ec08996000 Add note on tags matching tokenization (see #1613) 2017-11-20 15:12:47 +01:00
ines
1a38575de3 Make example Python 2 compatible (see #1617) 2017-11-20 13:57:51 +01:00
ines
7d5afadf5e Update vectors_loc description 2017-11-17 14:57:11 +01:00
ines
c57e05bec1 Make sure nr_dim is an int 
In some languages (e.g. Dutch), the nr_dim is extracted as a byte string, causing an error down the line.
 2017-11-17 14:56:27 +01:00
yogendrasoni
334ed433b2
rstrip line before rsplit 
loading english fast text giving error because line contains new line at the end and rsplit is splitting it incorrectly
 2017-11-15 13:55:08 +05:30
Matthew Honnibal
f0e28e8ae5
Make fasttext reader accommodate whitespace 2017-11-12 12:07:13 +01:00
ines
f36fab39b0 Don't rename component in intent parser example (resolves #1551) 
Otherwise, the default saved model won't know that it's supposed to create spaCy's 'parser'.
 2017-11-10 23:35:38 +01:00
Ines Montani
1a23a0f87e
Remove broken link (resolves #1541) 2017-11-10 12:28:39 +01:00
ines
3597a29c24 Update fastText vectors example (see #1525) 
Add option to specify language, and add note on "lang" being required to save out model
 2017-11-09 14:54:39 +01:00
ines
33b84f4c39 Change clear_vectors to reset_vectors (resolves #1516) 2017-11-08 18:11:23 +01:00
ines
89bd40b821 Fix print statement in textcat training example (resolves #1515) 2017-11-08 17:17:40 +01:00
ines
a09c096d3c Get docs ready for v2.0.0 2017-11-07 12:00:43 +01:00
ines
173b1551af Update examples 2017-11-07 01:22:30 +01:00
ines
1b1c9105b4 Update example compatibility statements 2017-11-07 01:11:45 +01:00
ines
8fb48b9b91 Update and document new util functions 2017-11-07 00:22:43 +01:00
Matthew Honnibal
d7016d4050 Update intent parser example 2017-11-06 23:31:11 +01:00
ines
fe498b3d5e Update training examples to use "simple style" 2017-11-06 23:14:04 +01:00
ines
c646365e2f Port over changes and add note on compat (see #1445) 2017-11-06 13:58:34 +01:00
ines
2dca9e71a1 Add notes on catastrophic forgetting (see #1496) 2017-11-06 13:17:02 +01:00
Matthew Honnibal
717e8124fb Update Keras sentiment analysis example 2017-11-05 17:11:00 +01:00
Matthew Honnibal
cfb83c231c Merge branch 'develop' of https://github.com/explosion/spaCy into develop 2017-11-04 23:08:19 +01:00
Matthew Honnibal
ba0201de07 Update multiprocessing example 2017-11-04 23:07:57 +01:00
ines
70a9504560 Add inbetween print statement 2017-11-04 23:06:55 +01:00
Matthew Honnibal
e033162a1d Update tagger training example 2017-11-01 21:49:08 +01:00
ines
8f1d3fc3ee Update textcat example 2017-11-01 17:09:22 +01:00
Matthew Honnibal
dad8f09fba Fix print statements in text classifier example 2017-11-01 16:34:31 +01:00
ines
bfe17b7df1 Fix begin_training if get_gold_tuples is None 2017-11-01 13:14:31 +01:00
ines
0ca152a015 Fix syntax error 2017-11-01 00:43:28 +01:00
ines
4b196fdf7f Fix formatting 2017-11-01 00:43:22 +01:00
ines
33af6ac69a Use even smaller examle size 
100 was still too much, so try 20 instead
 2017-10-30 19:46:45 +01:00
ines
f02b0af821 Fix path and use smaller example size 
500 was too larger and caused laggy rendering
 2017-10-30 19:44:35 +01:00
ines
18dde7869a Update training data docs and add vocab JSONL 2017-10-30 19:40:05 +01:00
ines
b5643d8575 Update intent parser docs and add to usage docs 2017-10-27 04:49:05 +02:00
ines
9dfca0f2f8 Add example for custom intent parser 2017-10-27 03:55:11 +02:00
ines
4d272e25ee Fix examples 2017-10-27 03:55:04 +02:00
ines
44f83b35bc Update pipeline component examples to use plac 2017-10-27 02:58:14 +02:00
ines
af28ca1ba0 Move example to pipeline directory 2017-10-27 02:00:01 +02:00
ines
1d69a46cd4 Update multi-processing example and add to docs 2017-10-27 01:58:55 +02:00
ines
4eabaafd66 Update docstring and example 2017-10-27 01:50:44 +02:00
ines
ed69bd69f4 Update parallel tagging example 2017-10-27 01:48:52 +02:00
ines
096a80170d Remove old example files 2017-10-27 01:48:39 +02:00
ines
a7b9074b4c Update textcat training example and docs 2017-10-27 00:48:45 +02:00
ines
b61866a2e4 Update textcat example 2017-10-27 00:32:19 +02:00
ines
f81cc0bd1c Fix usage of disable_pipes 2017-10-27 00:31:30 +02:00
ines
b7b285971f Update examples README 2017-10-26 18:47:11 +02:00
ines
cc2917c9e8 Update fastText example and add to examples in docs 2017-10-26 18:47:02 +02:00
ines
db843735d3 Remove outdated examples 2017-10-26 18:46:25 +02:00
ines
daed7ff8fe Update information extraction examples 2017-10-26 18:46:11 +02:00
ines
bca5372fb1 Clean up examples 2017-10-26 17:32:59 +02:00
ines
f57043e6fe Update docstring 2017-10-26 16:29:08 +02:00
ines
b90e958975 Update tagger and parser examples and add to docs 2017-10-26 16:27:42 +02:00
ines
f1529463a8 Update tagger training example 2017-10-26 16:19:02 +02:00
ines
e44bbb5361 Remove old example 2017-10-26 16:12:41 +02:00
ines
421c3837e8 Fix formatting 2017-10-26 16:11:25 +02:00
ines
4d896171ae Use plac annotations for arguments 2017-10-26 16:11:20 +02:00
ines
c3b681e5fb Use plac annotations for arguments and add n_iter 2017-10-26 16:11:05 +02:00
ines
bc2c92f22d Use plac annotations for arguments 2017-10-26 16:10:56 +02:00
ines
b5c74dbb34 Update parser training example 2017-10-26 15:15:37 +02:00
ines
586b9047fd Use create_pipe instead of importing the entity recognizer 2017-10-26 15:15:26 +02:00
ines
d425ede7e9 Fix example 2017-10-26 15:15:08 +02:00
ines
9d58673aaf Update train_ner example for spaCy v2.0 2017-10-26 14:24:12 +02:00
ines
e904075f35 Remove stray print statements 2017-10-26 14:24:00 +02:00
ines
c30258c3a2 Remove old example 2017-10-26 14:23:52 +02:00
ines
615c315d70 Update train_new_entity_type example to use disable_pipes 2017-10-25 14:56:53 +02:00
ines
2b8e7c45e0 Use better training data JSON example 2017-10-24 16:00:56 +02:00
ines
9bf5751064 Pretty-print JSON 2017-10-24 12:22:17 +02:00
ines
6675755005 Add training data JSON example 2017-10-24 12:05:10 +02:00
Jeroen Bobbeldijk
84c6c20d1c Fix #1444: fix pipeline logic and wrong paramater in update call 2017-10-22 15:18:36 +02:00
Jeffrey Gerard
5ba970b495 minor cleanup 2017-10-12 12:34:46 -07:00
Jeffrey Gerard
39d3cbfdba Bugfix example script train_ner_standalone.py, fails after training 2017-10-12 11:39:12 -07:00
ines
f4ae6763b9 Fix consistency of imports from spacy.tokens in examples 2017-10-11 02:30:40 +02:00
Matthew Honnibal
e0a9b02b67 Merge Span._ and Span.as_doc methods 2017-10-09 22:00:15 -05:00
ines
6679117000 Add pipeline component examples 2017-10-10 04:26:06 +02:00
Matthew Honnibal
e79fc41ff8 Merge pull request #1391 from explosion/feature/multilabel-textcat 
💫 Fix multi-label support for text classification
 2017-10-09 04:22:31 +02:00
Matthew Honnibal
563f46f026 Fix multi-label support for text classification 
The TextCategorizer class is supposed to support multi-label
text classification, and allow training data to contain missing
values.

For this to work, the gradient of the loss should be 0 when labels
are missing. Instead, there was no way to actually denote "missing"
in the GoldParse class, and so the TextCategorizer class treated
the label set within gold.cats as complete.

To fix this, we change GoldParse.cats to be a dict instead of a list.
The GoldParse.cats dict should map to floats, with 1. denoting
'present' and 0. denoting 'absent'. Gradients are zeroed for categories
absent from the gold.cats dict. A nice bonus is that you can also set
values between 0 and 1 for partial membership. You can also set numeric
values, if you're using a text classification model that uses an
appropriate loss function.

Unfortunately this is a breaking change; although the functionality
was only recently introduced and hasn't been properly documented
yet. I've updated the example script accordingly.
 2017-10-05 18:43:02 -05:00
Matthew Honnibal
056b08c0df Delete obsolete nn_text_class example 2017-10-05 18:27:10 +02:00
Matthew Honnibal
f1b86dff8c Update textcat example 2017-10-04 15:12:28 +02:00
Matthew Honnibal
79a94bc166 Update textcat exampe 2017-10-04 14:55:30 +02:00
Matthew Honnibal
cbb1fbef80 Update train_ner_standalone example 2017-10-03 18:49:38 +02:00
Matthew Honnibal
38286b6f07 Add example loadig Fast Text vectors 2017-10-01 23:40:02 +02:00
Matthew Honnibal
f92ab03dc8 Rename phrase matcher example 2017-09-20 22:51:58 +02:00
Matthew Honnibal
01858e9b59 Fix PhraseMatcher example 2017-09-20 22:51:41 +02:00
Matthew Honnibal
027a5d8b75 Update train_ner_standalone example 2017-09-15 10:36:46 +02:00
Matthew Honnibal
683d81bb49 Update example for adding entity type 2017-09-14 16:15:59 +02:00
Matthew Honnibal
c16ef0a85c Clarify train textcat example 2017-07-29 21:59:27 +02:00
Matthew Honnibal
54a539a113 Finish text classifier example 2017-07-23 00:34:12 +02:00
Matthew Honnibal
2bc7d87c70 Add example for training text classifier 2017-07-22 20:15:32 +02:00
ines
992559bf9a Fix formatting and remove unused imports 2017-06-01 12:47:18 +02:00
Matthew Honnibal
5c30466c95 Update NER training example 2017-05-31 13:42:12 +02:00
akYoung
c158cdb1da Corretions for model test example 
The sentences of test data in sentence entailment example should be generated with integers limited to vocab_size.
 2017-05-03 22:41:23 +08:00
Matthew Honnibal
2da16adcc2 Add dropout optin for parser and NER 
Dropout can now be specified in the `Parser.update()` method via
the `drop` keyword argument, e.g.

    nlp.entity.update(doc, gold, drop=0.4)

This will randomly drop 40% of features, and multiply the value of the
others by 1. / 0.4. This may be useful for generalising from small data
sets.

This commit also patches the examples/training/train_new_entity_type.py
example, to use dropout and fix the output (previously it did not output
the learned entity).
 2017-04-27 13:18:39 +02:00
Matthew Honnibal
0605b95f2e Merge branch 'master' of https://github.com/explosion/spaCy 2017-04-18 13:48:00 +02:00