optuna

Releases

1. ▸▾0.6.010 Jan 2019

   This is the release note of v0.6.0. See here for the complete list of solved issues and merged PRs.

   This is the release note of v0.6.0. See here for the complete list of solved issues and merged PRs.

   New Features

   • Support cross validation in lightgbm.py (#260, thanks @shikiponn!)
   • Implement Keras integration. (#256, thanks @higumachan!)
   • Add a pruner based on Successive Halving. (#236)

   Examples

   • Add an example and FAQ about object functions that take additional arguments. (#277)

   Documents

   • Add instruction sentences for RDB URL setup in the tutorial. (#295)
   • Add an FAQ page about unit tests of objective functions. (#291)

   Enhancements

   • Address integrity errors caused by timing issues when setting attributes in RDBStorage. (#290)
   • Optimize query of count trials. (#282)
   • Apply autopep8. (#274)
   • Fix dashboard access problem from remote host. (#254, thanks @higumachan!)

   Open source →
2. ▸▾0.5.014 Dec 2018

   This is the release note of v0.5.0. See here for the complete list of solved issues and merged PRs.

   This is the release note of v0.5.0. See here for the complete list of solved issues and merged PRs.

   Bug Fixes

   • Make samplers/tpe/parzen_estimator.py adaptive. (#261, thanks @HideakiImamura!)

   Tests

   • Add test cases to check NaN handling of MedianPruner. (#264)

   New Features

   • Add FixedTrial. (#250)
   • Add load_if_exists option. (#242)

   Examples

   • Fix a typo in pruning example of xgboost. (#266)
   • Fix an invalid parameter, ets, in xgboost example. (#265, thanks @higumachan!)
   • Use list for choice argument instead of tuple. (#252)

   Documents

   • Fix a style error in FAQ. (#267)
   • Add an FAQ about the way to specify the GPU with CUDA_VISIBLE_DEVICES. (#263)
   • Add an FAQ about NaN returned by objective functions. (#258)
   • Add an FAQ about the way to save machine learning models. (#255)
   • Add an FAQ about random seed. (#253)
   • Add an FAQ about logging levels. (#251)

   Enhancements

   • Fix typo. (#269, thanks @RossyWhite!)
   • Overwrite sigma of prior distributions. (#268, thanks @fofof200!)
   • Make TYPE_CHECKING work before Python 3.5.2. (#262, thanks @okapies!)
   • Make ChainerPruningExtension report NaN to pruner. (#259)
   • Fix mypy's version constraint. (#257, thanks @okapies!)