Recently, there has been a great deal of interest surrounding the calibration quantum sensors using machine learning techniques. This work explores use regression to infer machine-learned point estimate an unknown parameter. Although analysis is necessarily frequentist—relying on repeated estimates build up statistics—the authors clarify that this estimator converges Bayesian maximum posteriori...