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autogluon / autogluon-cloud

Autogluon-cloud aims to provide user tools to train, fine-tune and deploy AutoGluon backed models on the cloud. With just a few lines of codes, users could train a model and perform inference on the cloud without worrying about MLOps details such as resource management
Apache License 2.0
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Update ray[default] requirement from <2.11,>=2.10.0 to >=2.10.0,<2.39 #157

Closed dependabot[bot] closed 1 week ago

dependabot[bot] commented 1 month ago

Updates the requirements on ray[default] to permit the latest version.

Release notes

Sourced from ray[default]'s releases.

Ray-2.38.0

Ray Libraries

Ray Data

🎉 New Features:

  • Add Dataset.rename_columns (#47906)
  • Basic structured logging (#47210)

💫 Enhancements:

  • Add partitioning parameter to read_parquet (#47553)
  • Add SERVICE_UNAVAILABLE to list of retried transient errors (#47673)
  • Re-phrase the streaming executor current usage string (#47515)
  • Remove ray.kill in ActorPoolMapOperator (#47752)
  • Simplify and consolidate progress bar outputs (#47692)
  • Refactor OpRuntimeMetrics to support properties (#47800)
  • Refactor plan_write_op and Datasinks (#47942)
  • Link PhysicalOperator to its LogicalOperator (#47986)
  • Allow specifying both num_cpus and num_gpus for map APIs (#47995)
  • Allow specifying insertion index when registering custom plan optimization Rules (#48039)
  • Adding in better framework for substituting logging handlers (#48056)

🔨 Fixes:

  • Fix bug where Ray Data incorrectly emits progress bar warning (#47680)
  • Yield remaining results from async map_batches (#47696)
  • Fix event loop mismatch with async map (#47907)
  • Make sure num_gpus provide to Ray Data is appropriately passed to ray.remote call (#47768)
  • Fix unequal partitions when grouping by multiple keys (#47924)
  • Fix reading multiple parquet files with ragged ndarrays (#47961)
  • Removing unneeded test case (#48031)
  • Adding in better json checking in test logging (#48036)
  • Fix bug with inserting custom optimization rule at index 0 (#48051)
  • Fix logging output from write_xxx APIs (#48096)

📖 Documentation:

  • Add docs section for Ray Data progress bars (#47804)
  • Add reference to parquet predicate pushdown (#47881)
  • Add tip about how to understand map_batches format (#47394)

Ray Train

🏗 Architecture refactoring:

  • Remove deprecated mosaic and sklearn trainer code (#47901)

Ray Tune

🔨 Fixes:

  • Fix WandbLoggerCallback to reuse actors upon restore (#47985)

Ray Serve

... (truncated)

Commits
  • 385ee46 [release] 2.38.0 version change (#48112)
  • 09cf5bb [Data] Fix logging output from write_xxx APIs (#48096)
  • d5fa9a0 [Core][RFC] RPC network error chaos test framework (#48007)
  • 059f4ba [Data] Adding in better framework for substituting logging handlers (#48056)
  • 84fde99 [core] Add an example for RAY_DEDUP_LOGS_SKIP_REGEX (#47913)
  • c8dae96 [chore][core][compiled-graph] Rename idx to local_idx or dag_idx in RayCG cod...
  • dc73531 [Data] Fix bug with inserting custom optimization rule at index 0 (#48051)
  • 0056097 [Feat][Core] Support ExceptionGroup (#47887)
  • 4dfa033 [Serve] refactor add_grpc_address helper (#48033)
  • 8bd6a9a Revert "[Ray Core] Fix the Paths in the Generated Monitoring Configs to Consi...
  • Additional commits viewable in compare view


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dependabot[bot] commented 1 week ago

Superseded by #159.