Tafsut Forecast

Tools

• tafsut_forecast_demo__adaptive_history_slider Adapt the history display range to the currently supplied series. Short series default to showing their full history. Longer series default to the latest 2,048 points while allowing the slider to expand to the complete model context (up to 32,768 points). If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool
• tafsut_forecast_demo__adaptive_history_slider_1 Adapt the history display range to the currently supplied series. Short series default to showing their full history. Longer series default to the latest 2,048 points while allowing the slider to expand to the complete model context (up to 32,768 points). If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool
• tafsut_forecast_demo_run_forecast Generate a probabilistic time-series forecast with Tafsut. Upload a CSV file (single column of numeric values) or paste comma-separated values. The model produces quantile forecasts with uncertainty bands. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool
• tafsut_forecast_demo_run_forecast_1 Generate a probabilistic time-series forecast with Tafsut. Upload a CSV file (single column of numeric values) or paste comma-separated values. The model produces quantile forecasts with uncertainty bands. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool

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As the server's own listing gives them. We never call a tool.