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Commits on Jun 6, 2022

• [AIR] Update to new Predictor interface (ray-project#25425)

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Commits on Jun 3, 2022

• [Train] Support amp for models with a custom __getstate__ method (ray-project#25335)

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Commits on May 26, 2022

• [AIR] Incremental Learning Example (ray-project#24420)

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• [AIR] Fix failing CI on master (ray-project#25201)

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Commits on May 19, 2022

• [AIR] Support array output from Torch model (ray-project#24902)

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Commits on May 18, 2022

• [AIR] Add trainer_resources as a valid scaling config key for all Trainers

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Commits on May 17, 2022

• [AIR] Don't use df.transform for BatchMapper (ray-project#24872)

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Commits on May 12, 2022

• [AIR] Add AIR install extra (ray-project#24701)

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Commits on May 10, 2022

• [Tune] Raise better error messages for failures with ResultGrid.get_best_result (ray-project#24610)

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• [Tune] Deprecate DistributedTrainableCreator (ray-project#24453)

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• [RLlib] Switch Dreamer to training_iteration API. (ray-project#24488)

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Commits on Apr 28, 2022

• [Docker] Start building ray-ml CPU Docker image again (ray-project#24266)

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• [AIR/Train] Make Dataset ingest configurable (ray-project#24066)

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Commits on Apr 26, 2022

• [Train/Tune] Warn pending deprecation for ray.train.Trainer and ray.tune DistributedTrainableCreators (ray-project#24056)

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Commits on Apr 25, 2022

• [Train] Fully deprecate Ray SGD v1 (ray-project#24038)

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Commits on Apr 22, 2022

• [AIR] GNN example cleanup (ray-project#24080)

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Commits on Apr 21, 2022

• [AIR] Add distributed torch_geometric example (ray-project#23580)

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Commits on Apr 20, 2022

• [Release] Upgrade instance types for xgboost gpu release tests (ray-project#24002)

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Commits on Apr 19, 2022

• [CI] Separate out banned words check from formatting script (ray-project#23998)

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• [Release] Fix XGBoost Golden Notebook Tests (ray-project#23996)

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Commits on Apr 14, 2022

• Revert "[State Observability] Basic functionality for centralized data (ray-project#23744)" (ray-project#23918)

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Commits on Apr 11, 2022

• [Tune] Don't include nan metrics for best checkpoint (ray-project#23820)

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• [Docker/CI] Add comment on keeping Docker images in sync (ray-project#23782)

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Commits on Apr 8, 2022

• [Docs] Automatically render latest ray_lightning docs (ray-project#23729)

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• [Train] Fix train.torch.get_device() for fractional GPU or multiple GPU per worker case (ray-project#23763)

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• [Dashboard] Specify @types/react resolution (ray-project#23794)

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Commits on Apr 6, 2022

• [Train] MLflow start run under correct experiment (ray-project#23662)

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Commits on Apr 4, 2022

• [AIR] Set name of Trainable to match with Trainer ray-project#23697

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Commits on Mar 29, 2022

• [Train] Improvements to fault tolerance (ray-project#22511)

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Commits on Mar 25, 2022

• [AIR] Do not deepcopy RunConfig (ray-project#23499)

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Commits on Mar 22, 2022

• [Train] Fix multi node horovod bug (ray-project#22564)

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Commits on Mar 21, 2022

• [CI] Better error message for fake multi-node cluster (ray-project#22647)

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Commits on Mar 18, 2022

• [ml] TorchTrainer bug fixes + GPU test (ray-project#23293)

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  ericl

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• [ml] Switch from tune.run to Tuner.fit (ray-project#23282)

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Commits on Mar 17, 2022

• [Docker] Add Train requirements to ray-ml docker image (ray-project#22645)

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