인터페이스는 현지화되어 있으며, Skill 소개와 설명 문서는 선택한 언어로 AI가 자동 번역합니다. 코드·명령어·경로·전문 용어는 원문을 유지하며 원작자 문서가 우선합니다.
Skills 둘러보기
생산성 및 협업 · SKILL.md

tsnpe_sbcc_diagnostics

tsnpe_sbcc_diagnostics

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

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

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.

저장한 Skills