Training a model with distributed LightGBM: Distributed training with LightGBM
Training a model with distributed XGBoost: Distributed training with XGBoost
Hyperparameter tuning with XGBoostTrainer: Distributed tuning with XGBoost
Training a model with Sklearn: Integrating with Scikit-Learn (non-distributed)
Convert existing PyTorch code to Ray AIR: How to get started with Ray AIR from your code base
Tabular data training and serving with Keras and Ray AIR: How to use Ray AIR to train a Keras model on tabular data and serve it.
Fine-tune a 🤗 Transformers model: How to use Ray AIR to run Hugging Face Transformers fine-tuning on a text classification task.
Logging & Observability¶
Logging results and uploading models to Comet ML: How to log results and upload models to Comet ML.
Logging results and uploading models to Weights & Biases: How to log results and upload models to Weights and Biases.