mirror of
https://github.com/vale981/ray
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5cc9355303
Continuing docs overhaul, tune now has: - [x] better landing page - [x] a getting started guide - [x] user guide was cut down, partially merged with FAQ, and partially integrated with tutorials - [x] the new user guide contains guides to tune features and practical integrations - [x] we rewrote some of the feature guides for clarity - [x] we got rid of sphinx-gallery for this sub-project (only data and core left), as it looks bad and is unnecessarily complicated anyway (plus, makes the build slower) - [x] sphinx-gallery examples are now moved to markdown notebook, as started in #22030. - [x] Examples are tested in the new framework, of course. There's still a lot one can do, but this is already getting too large. Will follow up with more fine-tuning next week. Co-authored-by: Antoni Baum <antoni.baum@protonmail.com> Co-authored-by: Kai Fricke <krfricke@users.noreply.github.com>
114 lines
2.8 KiB
ReStructuredText
114 lines
2.8 KiB
ReStructuredText
.. _tune-integration:
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External library integrations (tune.integration)
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================================================
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.. contents::
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:local:
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:depth: 1
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.. _tune-integration-docker:
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Docker (tune.integration.docker)
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--------------------------------
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.. autofunction:: ray.tune.integration.docker.DockerSyncer
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.. _tune-integration-keras:
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Keras (tune.integration.keras)
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------------------------------------------------------
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.. autoclass:: ray.tune.integration.keras.TuneReportCallback
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.. autoclass:: ray.tune.integration.keras.TuneReportCheckpointCallback
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.. _tune-integration-kubernetes:
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Kubernetes (tune.integration.kubernetes)
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----------------------------------------
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.. autofunction:: ray.tune.integration.kubernetes.NamespacedKubernetesSyncer
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.. _tune-integration-mlflow:
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MLflow (tune.integration.mlflow)
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--------------------------------
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:ref:`See also here <tune-mlflow-ref>`.
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.. autoclass:: ray.tune.integration.mlflow.MLflowLoggerCallback
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.. autofunction:: ray.tune.integration.mlflow.mlflow_mixin
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.. _tune-integration-mxnet:
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MXNet (tune.integration.mxnet)
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------------------------------
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.. autoclass:: ray.tune.integration.mxnet.TuneReportCallback
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.. autoclass:: ray.tune.integration.mxnet.TuneCheckpointCallback
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.. _tune-integration-pytorch-lightning:
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PyTorch Lightning (tune.integration.pytorch_lightning)
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------------------------------------------------------
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.. autoclass:: ray.tune.integration.pytorch_lightning.TuneReportCallback
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.. autoclass:: ray.tune.integration.pytorch_lightning.TuneReportCheckpointCallback
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.. _tune-integration-torch:
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Torch (tune.integration.torch)
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------------------------------
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.. autofunction:: ray.tune.integration.torch.DistributedTrainableCreator
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.. autofunction:: ray.tune.integration.torch.distributed_checkpoint_dir
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.. autofunction:: ray.tune.integration.torch.is_distributed_trainable
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.. _tune-integration-horovod:
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Horovod (tune.integration.horovod)
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----------------------------------
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.. autofunction:: ray.tune.integration.horovod.DistributedTrainableCreator
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.. _tune-integration-wandb:
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Weights and Biases (tune.integration.wandb)
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-------------------------------------------
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:ref:`See also here <tune-wandb-ref>`.
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.. autoclass:: ray.tune.integration.wandb.WandbLoggerCallback
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.. autofunction:: ray.tune.integration.wandb.wandb_mixin
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.. _tune-integration-xgboost:
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XGBoost (tune.integration.xgboost)
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----------------------------------
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.. autoclass:: ray.tune.integration.xgboost.TuneReportCallback
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.. autoclass:: ray.tune.integration.xgboost.TuneReportCheckpointCallback
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.. _tune-integration-lightgbm:
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LightGBM (tune.integration.lightgbm)
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------------------------------------
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.. autoclass:: ray.tune.integration.lightgbm.TuneReportCallback
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.. autoclass:: ray.tune.integration.lightgbm.TuneReportCheckpointCallback
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