This release contains several feature improvements and bug fixes. For example,
- support for custom data splitter.
- evaluation_function can receive incumbent result in local search and perform domain-specific early stopping by comparing with the incumbent result. As long as the comparison result (better or worse) is known, the evaluation can be stopped.
- support and automate huggingface metrics.
- use cfo in tune.run is bs is not installed.
- fixed a bug in modifying n_estimators to satisfy constraints.
- new documentation website.
What's Changed
- Update flaml_pytorch_cifar10.ipynb by @sonichi in #328
- adding HF metrics by @liususan091219 in #335
- train at least one iter when not trained by @sonichi in #336
- use cfo in tune.run if bs is not installed by @sonichi in #334
- Makes the evaluation_function could receive the incumbent best result as input in Tune by @Shao-kun-Zhang in #339
- support for customized splitters by @wuchihsu in #333
- Deploy a new doc website by @sonichi, @qingyun-wu and @Shao-kun-Zhang in #338
- version update by @sonichi in #341
New Contributors
- @Shao-kun-Zhang made their first contribution in #339
Full Changelog: v0.9.0...v0.9.1