This repository has been archived by the owner on Nov 14, 2023. It is now read-only.
⚠️ tune-sklearn
is no longer being maintained
This release (0.5.0
) is the last version of the library that will be released by the Ray team. It has been updated to be compatible
with ray>=2.7.x, ray<=2.9.x
. The library will not be guaranteed to work with future Ray versions.
The recommended alternative to keep up with the latest features of Ray is to migrate tune-sklearn
usage
to the Ray Tune APIs to accomplish the same thing.
Feel free to post an issue on the Ray Github if you run into any issues in migrating.
What's Changed
- Fix
ExperimentAnalysis
usage for Ray 2.7 by @justinvyu in #272 - [doc] Add auto-generated docs by @justinvyu in #279
- Bump version to
0.5.0
and update Ray Tune lower bound to2.7.1
by @justinvyu in #281 - Update README with archival message by @justinvyu in #282
Full Changelog: v0.4.6...v0.5.0