v0.9.1

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 if 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