Expand description
Stopping rules used for deciding convergence for EM algorithms.
Structs§
- Both
- A stopping rule that lets the EM algorithm run until both the contained stopping rules indicate convergence.
- Either
- A stopping rule that lets the EM algorithm run until either of the contained stopping rules indicate convergence.
- LogLikelihood
Tolerance - A stopping rule that lets the EM algorithm run until the absolute difference in successive, normalised log-likelihood values falls below some tolerance.
- Steps
- A stopping rule that lets the EM algorithm run for a specific number of EM-steps.
- Window
LogLikelihood Tolerance - A stopping rule for window EM that lets the algorithm run until the successive sum of normalised block log-likelihood values falls below a certain tolerance.
Traits§
- Stop
- A type capable of deciding whether an EM algorithm should stop.
- Stopping
Rule - A type that can be combined in various ways to create a stopping rule for EM types.