|View source on GitHub|
Tune the number of steps and scaling of one mutation.
tfp.experimental.mcmc.simple_heuristic_tuning( num_steps, log_scalings, log_accept_prob, optimal_accept=0.234, target_accept_prob=0.99, name=None )
This is a simple heuristic for tuning the number of steps of the next mutation, as well as the scaling of a transition kernel (e.g., step size in HMC, scale of a Normal proposal in RWMH) using the acceptance probability from the previous mutation stage in SMC.
||The number of steps for the next mutation.|
||The log of the scale of the proposal kernel for the next mutation.|