mirror of https://github.com/explosion/spaCy.git
358cbb21e3
* candidate generator as separate part of EL config * update comment * ent instead of str as input for candidate generation * Span instead of str: correct type indication * fix types * unit test to create new candidate generator * fix replace_pipe argument passing * move error message, general cleanup * add vocab back to KB constructor * provide KB as callable from Vocab arg * rename to kb_loader, fix KB serialization as part of the EL pipe * fix typo * reformatting * cleanup * fix comment * fix wrongly duplicated code from merge conflict * rename dump to to_disk * from_disk instead of load_bulk * update test after recent removal of set_morphology in tagger * remove old doc |
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| .. | ||
| experiments | ||
| information_extraction | ||
| keras_parikh_entailment | ||
| notebooks | ||
| pipeline | ||
| training | ||
| README.md | ||
| deep_learning_keras.py | ||
| load_from_docbin.py | ||
| streamlit_spacy.py | ||
| vectors_fast_text.py | ||
| vectors_tensorboard.py | ||
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.