Releases: InseeFrLab/torch-fastText
Releases · InseeFrLab/torch-fastText
v0.0.4
What's Changed
- [README] [bug] Learning rate should be defined in train method by @linogaliana in #41
- correction in tokenizer.get_subword by @jpramil in #46
- Resolving conflicting values for
padding_index
by @meilame-tayebjee in #47 - Enabling null ground truth in
FastTextModelDataset
by @meilame-tayebjee in #49 - User friendly documentation by @linogaliana in #42
- feat: Enforce right values in y_train to avoid out of index error by @meilame-tayebjee in #56
New Contributors
- @linogaliana made their first contribution in #41
Full Changelog: v0.0.3...v0.0.4
v0.0.3
What's Changed
- Only log message if asked to for predict by @micedre in #33
- Training performance optimization when using GPU by @meilame-tayebjee in #35
- Allow users to choose between Embedding or EmbeddingBag implementation by @meilame-tayebjee in #36
- Exemple notebook enhancements by @jpramil in #39
Full Changelog: v0.0.2...v0.0.3
v0.0.2
What's Changed
- Categorical variables handling and updates by @meilame-tayebjee in #24
- Update unidecode issue by giving the choice to user via 'preprocess' parameter in predict by @meilame-tayebjee in #29
- Add some tests and a way to add lightning specific args to trainer by @micedre in #32
Full Changelog: v0.0.1...v0.0.2
v0.0.1
What's Changed
- Starting packaging from my fork by @meilame-tayebjee in #8
- add logs in lighning module by @jpramil in #9
- Add pyproject for packaging (and fix some import) by @micedre in #10
- Refactor source by @micedre in #11
- Package by @meilame-tayebjee in #12
- Configure Renovate by @renovate in #1
- Package by @meilame-tayebjee in #16
- GHA : Create python-package.yml by @micedre in #17
- Use dynamic versioning by @micedre in #22
New Contributors
- @meilame-tayebjee made their first contribution in #8
- @jpramil made their first contribution in #9
Full Changelog: https://github.com/InseeFrLab/torch-fastText/commits/v0.0.1