Overview
Tunny Dashboard is a tool for analyzing optimization results. It reads studies produced by Tunny / Optuna and provides a set of widgets for understanding what happened during the optimization, which parameters matter, and which trial you should actually adopt.
This dashboard has many features, so the pages below walk through a recommended analysis workflow. Each step names the widgets to use and links to the theory pages that explain the methods behind them.
If you are analyzing optimization results for the first time, steps 1, 2, and 6 are often enough. Steps 3, 4, and 5 provide information for deeper analysis.
Pages in this section
- Analysis Workflow: the eight recommended steps, from loading data to picking and validating the final design
- Method Map: when you know what to ask but not which method answers it
How this documentation is organized
| Section | Description |
|---|---|
| Widgets | every chart and panel in the dashboard and the quantities it displays |
| Sensitivity Analysis | the nine parameter importance methods |
| Surrogate Models | the models behind PDP, response surfaces, and robustness analysis |
| MCDM | ranking methods for picking trials, plus a usage guide |
| Clustering | structure discovery in the design and objective spaces |
| Statistics | foundational measures shared by the widgets |
| Data I/O | supported storage formats and session files |