0a65826462
* metrics: added bleu score and test bleu * metrics: fixed type hints in bleu * bleu score moved to metrics/functional/nlp.py * refactor with torch.Tensor * Update test_sequence.py * refactor as Borda requests and nltk==3.2 * locked nltk==3.3 * nltk>=3.3, parametrized smooth argument for test * fix bleu_score example * added class BLEUScore metrics and test * added class BLEUScore metrics and test * update CHANGELOG * refactor with torchtext * torchtext changed to optional import * fix E501 line too long * add else: in optional import * remove pragma: no-cover * constants changed to CAPITALS * remove class in tests * List -> Sequence, conda -> pip, cast with tensor * add torchtext in test.txt * remove torchtext from test.txt * bump torchtext to 0.5.0 * bump torchtext to 0.5.0 * Apply suggestions from code review * ignore bleu score in doctest, renamed to nlp.py * back to implementation with torch * remove --ignore in CI test, proper reference format * apply justus comment Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> |
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|---|---|---|
| .. | ||
| functional | ||
| __init__.py | ||
| classification.py | ||
| converters.py | ||
| metric.py | ||
| nlp.py | ||
| regression.py | ||
| sklearns.py | ||