Forecast Bike Rentals

Use the Granite Time Series model to forecast bike rentals.

TinyTimeMixers (TTMs) are compact pre-trained models for multivariate time-series forecasting, open-sourced by IBM Research. With less than 1 million parameters, TTM introduces the first-ever “tiny” pre-trained models for time-series forecasting.

TTM outperforms several popular benchmarks demanding billions of parameters in zero-shot and few-shot forecasting and can easily be fine-tuned for multi-variate forecasts. This notebook demonstrates how to apply Granite Time Series TTMs to forecast bike rentals.

You will need the following watsonx credentials to run this recipe in Colab:

• watsonx API Key
• watsonx Project ID
• watsonx url

Instructions for obtaining these credentials can be found here.

Get started

Explore sample code in a GitHub repo

Try it out

Execute sample code in Colab