Changelogs » Nagisa

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Nagisa

0.2.7

- Fix `AttributeError: module 'utils'` to rename utils.pyx into nagisa_utils.pyx 14
  - Add wheels to PyPI for Linux and Windows users
  - Increase test coverage from 92% to 96%
  - Fix  the problem where min_count (threshold=hp['THRESHOLD']) parameter was not used in train.py

0.2.6

- Increase test coverage from 88% to 92%
  - Fix `readFile(filename)` in mecab_system_eval.py for windows users
  - Add python3.7 to .travis.yml
  - Add a DOI with the data archiving tool Zenodo to README.md
  - Add `nagisa-0.2.6-cp36-cp36m-win_amd64.whl` and `nagisa-0.2.6-cp37-cp37m-win_amd64.whl` to PyPI to install nagisa without Build Tools for Windows users  23
  - Add `nagisa-0.2.6-*-manylinux1_i686.whl` and `nagisa-0.2.6-*-manylinux1_x86_64.whl` to PyPI to install nagisa for Linux users

0.2.5

- Fix a white space bug in nagisa.decode. This fix resolves an error that occurs when decoding(nagisa.decode) words - contain whitespace.
  - Add `__version__` to `__init__.py`
  - Add slides link at PyCon JP 2019 to README.md

0.2.4

- Add the new tutorial to the document (train a model for Japanese NER).
  - Add load_file function to nagisa.utils.
  - Fix 'single_word_list' compiler in nagisa.Tagger and support word segmentation using a regular expression.

0.2.3

- FIx 11 . By separating tagging into word segmentation and POS tagging in tagger.py, `nagisa.tagging` reduces wasteful memory and improves the speed in word segmentation.
  - Fix typo in README.md

0.2.2

- Update the document (e.g, add train a model for Japanese Universal Dependencies).
  - Fix log output of nagisa.fit function.
  - Fix issues from Codacy (e.g, delete unused codes in train.py).
  - Add appveyor.yml for Windows users.

0.2.0

- Provide a simple train method for a joint word segmentation and sequence labeling (e.g, POS-tagging, NER) model.
  - Fix ZeroDivisionError in mecab_system_eval.py.

0.1.2

- Provide the postagging method 8
  - Adopt the longest match to extract a word in `nagisa.Tagger(single_word_list)`