{"skill":{"slug":"elpa","displayName":"ELPA","summary":"Orchestrate real ELPA-style ensemble forecasting workflows by triggering external sub-model training jobs (for example PyTorch/Prophet/TiDE/transformers), th...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":269,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1773465928563,"updatedAt":1777529730683},"latestVersion":{"version":"1.0.0","createdAt":1773465928563,"changelog":"- Initial release of the elpa skill, enabling orchestration of real ELPA-style ensemble forecasting workflows.\n- Supports triggering external sub-model training jobs using your own training scripts for frameworks like PyTorch, Prophet, and transformers.\n- Automatically computes ELPA ensemble weights and policies from real sub-model validation errors.\n- Provides scalable model pool support—no hard limit on the number of models.\n- Includes templates, orchestration scripts, and integration tools for production-ready ensemble pipelines.","license":"MIT-0"},"metadata":null,"owner":{"handle":"anonymouscodemaker","userId":"s174dkn624cna12ev1r772q7qn8487j5","displayName":"AnonymousCodeMaker","image":"https://avatars.githubusercontent.com/u/243696146?v=4"},"moderation":null}