Release v0.1.7

allennlp-optuna v0.1.7 is now available.
We no longer support Python 3.6 so please upgrade Python if you use Python3.6 or earlier. 🙇

This version introduces one experimental option to tune command, --skip-exception.
If it is specified, an optimization won't stop even when some exception is raised.
This feature is very experimental and it could be removed in a later version.

allennlp tune test_fixtures/config/classifier.jsonnet test_fixtures/config/hparams.json --serialization-dir tmp --study-name test --skip-exception

#documentation

• Add example with optimization metrics and direction (#43)

#bug

• Allow users to specify pruner/sampler without attribute (#40)

#other

• Update pyproject.toml to require py36 or newer (#52)
• CI: Drop python36 and add python39 (#51)
• tune: Add option to continue even when exception is raised (#50)
• Update .gitignore to ignore invisible files (#42)

Release v0.1.6

allennlp-optuna v0.1.6 is out. This release mainly focuses on bug fixes.

Enhancement

• Create a temporary config file to avoid configuration error in retraining (#37)

Bug

• Allow users to specify pruner/sampler without attribute (#40)

Release v0.1.5

allennlp-optuna v0.1.5 is released!
This release only contains dependency upgrades for AllenNLP and Optuna.

Other

• Upgrade dependency: AllenNLP (#34)

Release v0.1.4

documentation

• Readme/pruning (#21)
• Fix naming (#22)
• Update README for AllenNLP plugins (#23)
• Add supported environments to README (#24)
• Fix typo in allennlp plugins instruction of README (#26)
• Remove poetry run commands (#27)
• Remove poetry run on docs (#28)

other

• Bump/0.1.4 (#29)
• Create LICENSE (#31)

Release v0.1.3

bug

• Specify include_package explicitly (#19)