.. _Postprocessing: ========================= Postprocessing ========================= eagle-tools Overview ------------------------- We use the eagle-tools package for postprocessing model output and visualizing model performance. The eagle-tools library provides command-line utilities that are configured via :term:`YAML` files. This library currently supports: * Running anemoi-inference across many initial conditions at scale, for example over a validation set * Postprocessing inference output into a format ready for the ``wxvx`` package * Computing aggregated error metrics such as RMSE and MAE while preserving the initial-condition dimension * Visualizing spatial error across lead times * Computing power spectra * Visualizing predictions alongside targets through figures and GIFs At a high level, eagle-tools enables users to analyze model performance at scale. For more information, see the `eagle-tools GitHub repository `_. eagle-tools Quick Tips -------------------------------------------------- Coming soon!