Class lsst::meas::modelfit::AdaptiveImportanceSampler¶
-
class
AdaptiveImportanceSampler
: public lsst::meas::modelfit::Sampler¶ Sampler class that performs Monte Carlo sampling, while iteratively updating the analytic distribution from which points are drawn.
Between the iterations defined in the control object, the prior is applied to the samples, and the mixture distribution is updated using expectation-maximization to match the samples.