experiment-design

To plan experimental design, you can use a 4-stage progressive framework that structures experiments from initial implementation to ablation studies, generating a formal design artifact with baselines, datasets, and metrics.

An ablation matrix systematically removes or modifies components to assess their impact. You can generate one by inputting your method description, which produces a formal design artifact documenting the ablation plan.

Structure hyperparameter grids and dataset coverage by applying a staged experimental framework that outputs a formal design artifact, ensuring robust evaluation across multiple datasets and seeds when appropriate.

Yes, you can export the experiment design plan to JSON or Markdown formats, enabling easy integration of the ablation matrix, hyperparameter grid, and evaluation protocol into your reports and scripts.

No specific dependencies are required to use this experiment planning framework; you simply input a research idea or method description to generate a complete experiment design with estimated total runs.

Estimate total experiment runs by generating a formal design artifact that includes an ablation matrix and hyperparameter grid, calculating coverage across multiple datasets and seeds for scalable evaluation.