• Stars
    star
    1,113
  • Rank 41,718 (Top 0.9 %)
  • Language
    Python
  • License
    MIT License
  • Created over 4 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

proof of concept for a transformer-based time series prediction model

Transformer Time Series Prediction

This repository contains two Pytorch models for transformer-based time series prediction. Note that this is just a proof of concept and most likely not bug free nor particularly efficient.

  • transformer-singlestep.py contains a single-step prediction model
  • transformer-multistep.py contains a multi-step prediction model

This is the output of a single step prediction model that has been trained for 100 epochs on the daily minimum temperature dataset.

For any serious use case, head over to the flow-forecast package.

image

The model is also capable of multi-step predictions. In this case, the model predicted 200 steps based on 100 steps input. It was able to learn long term trend from the training data:

image

(input blue, prediction red)