168 Commits

Author	SHA1	Message	Date
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ines	db843735d3	Remove outdated examples	2017-10-26 18:46:25 +02:00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