Time-series forecasting with DLinear#

 

These tutorials implement an end-to-end time-series application including:

  • Distributed data preprocessing and model training: Ingest and preprocess data at scale using Ray Data. Then, train a distributed DLinear model using Ray Train.

  • Model validation using offline inference: Evaluate the model using Ray Data offline batch inference.

  • Online model serving: Deploy the model as a scalable online service using Ray Serve.

  • Production deployment: Create production batch Jobs for offline workloads including data prep, training, batch prediction, and potentially online Services.

Acknowledgements#

This repository is based on the official DLinear implementations:

And the original publication: