界面已本地化;技能介绍与说明文档按所选语言由 AI 自动翻译,代码、命令、路径和专业术语保留原文,以原作者文档为准。
探索技能
效率与协作 · SKILL.md

tsnpe_sbcc_diagnostics

tsnpe_sbcc_diagnostics

【效率与协作】Compute TSNPE support inclusion and simulation-based coverage calibration diagnostics after each truncated proposal training round.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准

技能说明

GitHub

name: tsnpe_sbcc_diagnostics description: Compute TSNPE support inclusion and simulation-based coverage calibration diagnostics after each truncated proposal training round.

Tsnpe Sbcc Diagnostics

Use this skill after each TSNPE round to check whether posterior credible regions cover simulated ground-truth parameters and whether the truncation support is not excluding likely true posterior mass. It reports numeric coverage and support-inclusion values for recovery analysis.

Inputs: JSON with true_log_probs, posterior_sample_log_probs, and threshold. Outputs: empirical coverage curve, ground-truth support fraction, and mechanism checks. Validation: run python tests/test_sbcc.py.

我的收藏