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Contents

Examples

End-to-end tutorials

• Set up Ray: How to use Ray AIR to train a Keras model on tabular data and serve it.

• Incremental Learning with Ray AIR: Incrementally train and deploy a PyTorch CV model

• Fine-tune a 🤗 Transformers model: How to use Ray AIR to run Hugging Face Transformers fine-tuning on a text classification task.

• Serving reinforcement learning policy models

Feature Guides

• Analyzing results from hyperparameter tuning: How to analyze trial results (e.g. find the best trial) of a hyperparameter tuning run.

• Logging results and uploading models to Comet ML

• Logging results and uploading models to Weights & Biases

Trainers

• Training a model with distributed LightGBM

• Offline reinforcement learning with Ray AIR

• Online reinforcement learning with Ray AIR

• Training a model with Sklearn

• Training a model with distributed XGBoost

previous

Setting up Data Ingest

next

Analyzing results from hyperparameter tuning