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spaCy/examples
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Sofie Van Landeghem 8e7414dace Match pop with append for training format (#4516) 
* trying to fix script - not succesful yet

* match pop() with extend() to avoid changing the data

* few more pop-extend fixes

* reinsert deleted print statement

* fix print statement

* add last tested version

* append instead of extend

* add in few comments

* quick fix for 4402 + unit test

* fixing number of docs (not counting cats)

* more fixes

* fix len

* print tmp file instead of using data from examples dir

* print tmp file instead of using data from examples dir (2)
 		2019-10-27 16:01:32 +01:00
..
information_extraction Fix util.filter_spans() to prefer first span in overlapping sam… (#4414) 2019-10-10 17:00:03 +02:00
keras_parikh_entailment Fix unicode strings in examples [ci skip] 2019-10-18 18:47:59 +02:00
notebooks 💫 Replace ujson, msgpack and dill/pickle/cloudpickle with srsly (#3003) 2018-12-03 01:28:22 +01:00
pipeline KB extensions and better parsing of WikiData (#4375) 2019-10-14 12:28:53 +02:00
training Match pop with append for training format (#4516) 2019-10-27 16:01:32 +01:00
README.md Get docs ready for v2.0.0 2017-11-07 12:00:43 +01:00
deep_learning_keras.py Tidy up references to n_threads and fix default 2019-03-15 16:24:26 +01:00
streamlit_spacy.py Tidy up [ci skip] 2019-10-02 12:05:59 +02:00
vectors_fast_text.py Auto-format examples 2018-12-02 04:26:26 +01:00
vectors_tensorboard.py pulling tqdm imports in functions to avoid bug (tmp fix) (#4263) 2019-09-09 16:32:11 +02:00

README.md

spaCy examples

The examples are Python scripts with well-behaved command line interfaces. For more detailed usage guides, see the documentation.

To see the available arguments, you can use the --help or -h flag:

$ python examples/training/train_ner.py --help

While we try to keep the examples up to date, they are not currently exercised by the test suite, as some of them require significant data downloads or take time to train. If you find that an example is no longer running, please tell us! We know there's nothing worse than trying to figure out what you're doing wrong, and it turns out your code was never the problem.