# 5. BFMI if hasattr(inference_data, "sample_stats") and hasattr(inference_data.sample_stats, "bfmi"): bfmi = inference_data.sample_stats.bfmi.values.mean() if bfmi < bfmi_threshold: results["failures"].append(f"BFMI = {bfmi:.2f} < {bfmi_threshold}") results["passed"] = False
The HMC Checker typically operates through , meaning it can analyze models written in different probabilistic programming languages (PPLs). Its primary tasks include:
: Provides a "guarantee" of absolute continuity, which is essential for the mathematical validity of the sampling process.
Verification on the official HMC website or mobile app to match the outlet's details.