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* batching collation code and tests * wip notebook for np and dataframe * finish content * reset ray-more-libs changes * add comments * run through * Apply suggestions from code review Co-authored-by: shrekris-anyscale <92341594+shrekris-anyscale@users.noreply.github.com> * rename package * lint * richard's comment Co-authored-by: shrekris-anyscale <92341594+shrekris-anyscale@users.noreply.github.com>
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41 lines
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.. _air-examples-ref:
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========
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Examples
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========
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Framework-specific Examples
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---------------------------
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- :doc:`/ray-air/examples/lightgbm_example`: Distributed training with LightGBM
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- :doc:`/ray-air/examples/xgboost_example`: Distributed training with LightGBM
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- :doc:`/ray-air/examples/sklearn_example`: Integrating with Scikit-Learn (non-distributed)
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Tabular Data
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------------
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- :doc:`/ray-air/examples/tfx_tabular_train_to_serve`: How to use Ray AIR to train a Keras model on tabular data and serve it.
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Text/NLP
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--------
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- :doc:`/ray-air/examples/huggingface_text_classification`: How to use Ray AIR to run Hugging Face Transformers fine-tuning on a text classification task.
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Image/CV
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--------
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- :doc:`/ray-air/examples/torch_image_example`
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RL (RLlib)
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----------
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- :doc:`/ray-air/examples/rl_serving_example`
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- :doc:`/ray-air/examples/rl_online_example`
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- :doc:`/ray-air/examples/rl_offline_example`
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Advanced
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--------
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- :doc:`/ray-air/examples/torch_incremental_learning`: Incrementally train and deploy a PyTorch CV model
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