How to forecast a series using the drivers you already know with Chronos Forecasting

What you need first

• Python with pip and `pip install chronos-forecasting`
• pandas with pyarrow for the DataFrame examples
• A CUDA GPU for the README example, which sets device_map to cuda

Steps

1. Install it with pip install chronos-forecasting
2. Load the pipeline with Chronos2Pipeline.from_pretrained on amazon/chronos-2 as in the README
3. Read your history into context_df and your future covariate values into future_df
4. Call pipeline.predict_df with prediction_length, quantile_levels, id_column, timestamp_column and target

Prompt for your agent

Using amazon-science/chronos-forecasting, install it with `pip install chronos-forecasting`, forecast 24 steps of <my series> with Chronos2Pipeline.predict_df using my known future covariates, and return the 0.1, 0.5 and 0.9 quantiles.

Caveat. The README example loads the model with device_map set to cuda, so adapt it if you have no GPU.

Using the Deduped MCP, get the setup steps for amazon-science/chronos-forecasting and "Forecast a series using the drivers you already know"

claude mcp add --transport http deduped https://dedupedai.com/mcp

Share: X LinkedIn Hacker News Email Copy link

• Markdown version
• JSON version