Recent Releases of mlconjug3
mlconjug3 - v3.10.4
What's Changed
- Fixed error in examples. See issue #442 by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/453
- Update requirements_dev.txt by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/454
- Update requirements_dev.txt by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/455
- Bump snok/install-poetry from 1.3.3 to 1.3.4 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/443
- Bump actions/setup-python from 4.5.0 to 4.7.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/444
- Bump ossf/scorecard-action from 2.1.2 to 2.2.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/445
- Bump step-security/harden-runner from 2.1.0 to 2.5.1 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/446
- Bump actions/checkout from 3.3.0 to 3.6.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/447
- Update cryptography requirement from ~39.0.0 to ~41.0.3 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/448
- Update joblib requirement from ~1.2.0 to >=1.2,<1.4 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/449
- Update tomlkit requirement from ~0.11.6 to >=0.11.6,<0.13.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/450
- Update pytest-cov requirement from ~4.0.0 to ~4.1.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/451
- Update pytest requirement from ~7.2.1 to ~7.4.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/452
- Bump pypa/gh-action-pypi-publish from 1.6.4 to 1.8.10 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/456
- Bump sigstore/gh-action-sigstore-python from 1.1.0 to 2.0.1 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/457
- Bump snyk/actions from e25b2e6f5658d1bb7a6671b113260f13134cc3af to 299cde98a08ff8b1c2bfde1e5a067bce67a6d2b8 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/458
- Bump github/codeql-action from 2.2.1 to 2.21.5 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/459
- Update sphinx requirement from ~6.1.3 to ~6.2.1 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/461
- Update furo requirement from ~2022.12.7 to ~2023.8.19 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/462
- Update rich requirement from >=13.2,<13.4 to >=13.2,<13.6 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/463
- Update coverage requirement from ~7.1.0 to ~7.3.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/464
- Update sphinx requirement from ~6.2.1 to ~7.1.2 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/465
- Update tox requirement from ~4.4.3 to ~4.11.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/466
- Update mypy requirement from ~0.991 to ~1.5 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/467
- Update docutils requirement from ~0.19 to ~0.20 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/468
- Update README.rst by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/470
- Bump actions/checkout from 3.6.0 to 4.0.0 by @dependabot in https://github.com/Ars-Linguistica/mlconjug3/pull/469
- Update README.rst by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/471
- Cleanup by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/472
- Retrained models with scikit-learn v1.3.0 by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/473
- Version 3.10.4 by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/475
- Version 3.10.4 by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/476
- Updated requirements. by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/477
- Updated requirements by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/478
- Fixed documentation issue. by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/479
- Fixed rst rendering on pypi by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/480
- Fixed PyPi rendering issue. by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/481
- Fixed rendering issue on PyPi by @SekouDiaoNlp in https://github.com/Ars-Linguistica/mlconjug3/pull/482
Full Changelog: https://github.com/Ars-Linguistica/mlconjug3/compare/v3.10.3...v3.10.4
- Python
Published by SekouDiaoNlp over 2 years ago
mlconjug3 - mlconjug3 v3.10.3
Fixed display bug for single row tenses.
- Python
Published by SekouDiaoNlp about 3 years ago
mlconjug3 - mlconjug3 v3.10.2
-Retrained models with scikit-learn 1.2.1
- Python
Published by SekouDiaoNlp about 3 years ago
mlconjug3 - mlconjug3 version 3.10.1
We're thrilled to announce the release of mlconjug3 v3.10.1, packed with new features and improvements to make your conjugation experience smoother and faster than ever! 🚀
Here's what's new in this release:
- Fixed display bug for English infinitives: You can now conjugate English verbs without encountering display issues. 🎉
- More pervading caching for better performance: You'll now experience faster conjugation thanks to our improved caching mechanism. 💨
- Improved documentation: We've made it easier for you to understand how mlconjug3 works and how you can use it in your own projects. 📚
- Migrated project to ARS Linguistic: mlconjug3 is now a proud member of the ARS Linguistica organization, dedicated to developing free and accessible linguistic tools and resources for all. 🤝
- We hope you enjoy the new release of mlconjug3 and its improved performance, and we're excited to continue working with ARS Linguistica to make linguistic tools and resources accessible to all. 💪
Join us in our mission to advance linguistic research, documentation, and education, and preserve linguistic diversity! 🧬
Full Changelog: https://github.com/Ars-Linguistica/mlconjug3/compare/3.10.0...3.10.1
- Python
Published by SekouDiaoNlp about 3 years ago
mlconjug3 - mlconjug3 version 3.10
3.10.0 (2023-26-01)
We are excited to announce the release of mlconjug3 version 3.10! This release brings a number of new features and improvements to make your experience even better.
- Config files for ease of use of the command line: You can now use config files to specify your preferences for the command line interface. This allows you to easily set your language, subject, output file, and file format, as well as customize the styling of the conjugation table.
- Caching of xml conjugation files for faster loading: We have implemented caching of the xml conjugation files, which will greatly speed up the loading time of the conjugator.
- Complete overhaul of the documentation: We have completely overhauled the documentation for mlconjug3, making it more comprehensive and user-friendly.
- Signed release using sigstore: We have signed this release using sigstore, which ensures that the release has not been tampered with and comes from a trusted source.
- Python
Published by SekouDiaoNlp about 3 years ago
mlconjug3 - mlconjug3v3.9.0
- Added support for Python 3.11
- Updated dependencies to scikit-learn 1.2.0 with a noticeable speed inrease in training and inference performance.
- Added ConjugatorTrainer class to easily and flexibly train new conjugators.
- Added support for the rich library for better visuals. Now the conjugation tables are pretty printed and formatted.
- Added multi-processing conjugation of multiple verbs for better performance on server applications using mlconjug3.
- Added LRU cache to the the Conjugator.conjugate() method for better performance on applications with long running time.
- Updated documentation with the new classes and more detailed information and visuals.
- Refactor of internal classes, but keeping the same public interface in preparation for mlconjug3 v4.
- Python
Published by SekouDiaoNlp about 3 years ago
mlconjug3 - mlconjug3 v3.8.3
- Tweaked optimal learning parameters for the various language models.
- Project Metadata in
pyproject.tomlfile for building the package from source is 100% compliant. - Migrated build system to
poetry/PyPa build. - Updated dependencies to
scikit-learn 1.0.2with a noticeable speed increase in training and inference performance. - Updated documentation.
- Python
Published by SekouDiaoNlp almost 4 years ago
mlconjug3 - mlconjug3 v3.8.2
What's Changed
3.8.2 (2021-28-10)
- Fixed issue with the pyproject.toml file which caused the dependency solver to fail on install when using pip instead of poetry.
3.8.1 (2021-28-10)
- Updated documentation and Package metadata.
3.8.0 (2021-28-10)
- Fixed bug that would silently skip uppercase characters in the CountVectorizer. See: https://github.com/scikit-learn/scikit-learn/pull/19401
- Retrained all models with fixed CountVectorizer.
- Added full support for pyproject.toml file for building the package from source.
- Migrated build system to poetry.
- Updated dependen
Full Changelog: https://github.com/SekouDiaoNlp/mlconjug3/compare/v3.7.22...v3.8.2
- Python
Published by SekouDiaoNlp over 4 years ago
mlconjug3 - mlconjug3 v3.7.20
- Retrained all models with scikit-learn 0.24.2
- The Portuguese model has improved and is now also at 99%+ accuracy.
- Updated documentation.
- Updated dependencies.
- Python
Published by SekouDiaoNlp almost 5 years ago