New Information Architecture (Beta): We’ve restructured the Ray dashboard to be organized around user personas and workflows instead of entities.
Ray-on-Spark is now available (Preview)!: You can launch Ray clusters on Databricks and Spark clusters and run Ray applications. Check out the documentation to learn more.
Ray Libraries
Ray AIR
💫Enhancements:
Add set_preprocessor method to Checkpoint (#31721)
Rename Keras callback and its parameters to be more descriptive (#31627)
Deprecate MlflowTrainableMixin in favor of setup_mlflow() function (#31295)
W&B
Have train_loop_config logged as a config (#31901)
Allow users to exclude config values with WandbLoggerCallback (#31624)
Rename WandB save_checkpoints to upload_checkpoints (#31582)
Add hook to get project/group for W&B integration (#31035, 31643)
Use Ray actors instead of multiprocessing for WandbLoggerCallback (#30847)
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Bumps ray[default,rllib] from 2.0.0 to 2.3.1.
Release notes
Sourced from ray[default,rllib]'s releases.
... (truncated)
Commits
5b99dd9
Disable further docker image building for 2.3.1 (#33585)5f14cee
2.3.1 sympy and test fixes cherrypick (#33375)d4d37b2
[Core][deps] pin json-schema < 4.18 (#33412)2a6751a
[Conda][dependency] pin libffi=3.3 for base-deps (#33294) (#33338)9a3646c
[RLlib] Export RLLIB_TEST_NO_JAX_IMPORT=1 (#33023) (#33064)eedc667
[Serve][Cherry-Pick] Fix the max_concurrent_queries issue (#32974)e6e3055
fix (#33017)b34c71e
[Release] Update paging Anyscale API call to fix OSS release tests (#32679) (...377f5af
Revert "[serve] Replace Ray Client with Ray Job Submission for `serve… (#3297...6010649
[Datasets] Support different number of blocks/rows per block in zip(). (#3279...Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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