Skip to main content
Ctrl+K
pytorch-forecasting  documentation - Home pytorch-forecasting  documentation - Home
  • Getting started
  • Tutorials
  • Data
  • Models
  • Metrics
  • FAQ
  • Installation
  • API
  • Model Overview
  • Release Notes
  • GitHub
  • GitHub
Ctrl+K
  • Getting started
  • Tutorials
  • Data
  • Models
  • Metrics
  • FAQ
  • Installation
  • API
  • Model Overview
  • Release Notes
  • GitHub
  • GitHub
Ctrl+K

Section Navigation

  • Demand forecasting with the Temporal Fusion Transformer
  • Interpretable forecasting with N-Beats
  • How to use custom data and implement custom models and metrics
  • Autoregressive modelling with DeepAR and DeepVAR
  • Multivariate quantiles and long horizon forecasting with N-HiTS
  • Getting started
  • API
  • Tutorials

Tutorials#

Try the API v2 pre-release!

You are viewing v1 tutorials. A New API version 2 is in development.
Try it out before release: v2 Tutorials | v2 API Reference
Caution: v2 is WIP and unstable. Not yet production-ready.

The following tutorials can be also found as notebooks on GitHub.

  • Demand forecasting with the Temporal Fusion Transformer
  • Interpretable forecasting with N-Beats
  • How to use custom data and implement custom models and metrics
  • Autoregressive modelling with DeepAR and DeepVAR
  • Multivariate quantiles and long horizon forecasting with N-HiTS

previous

TupleOutputMixIn

next

Demand forecasting with the Temporal Fusion Transformer

Show Source

© Copyright 2020, present, the pytorch-forecasting developers.

Created using Sphinx 9.1.0.

Built with the PyData Sphinx Theme 0.19.0.