A message instructing the handler to compute the most likely value of the target element.
A message from the handler containing the most likely value of the previously requested element.
A class representing the actor running the algorithm.
Returns the most likely value for the target element.
Returns the most likely value for the target element.
Run a single step of the algorithm.
Run a single step of the algorithm. The algorithm must be able to provide answers after each step.
Called when the algorithm is killed.
Called when the algorithm is killed. By default, does nothing. Can be overridden.
The actor running the algorithm.
The actor running the algorithm.
A handler of services provided by the algorithm.
A handler of services provided by the algorithm.
Called when the algorithm is started before running any steps.
Called when the algorithm is started before running any steps. By default, does nothing. Can be overridden.
Kill the algorithm so that it is inactive.
Kill the algorithm so that it is inactive. It will no longer be able to provide answers.Throws AlgorithmInactiveException if the algorithm is not active.
Resume the computation of the algorithm, if it has been stopped.
Resume the computation of the algorithm, if it has been stopped. Throws AlgorithmInactiveException if the algorithm is not active.
Start the algorithm and make it active.
Start the algorithm and make it active. After it returns, the algorithm must be ready to provide answers. Throws AlgorithmActiveException if the algorithm is already active.
Stop the algorithm from computing.
Stop the algorithm from computing. The algorithm is still ready to provide answers after it returns. Throws AlgorithmInactiveException if the algorithm is not active.
Optional function to run when the algorithm is stopped (not killed).
Optional function to run when the algorithm is stopped (not killed). Used in samplers to update lazy values
Anytime algorithms that compute most likely values of elements. A class that implements this trait must implement initialize, runStep, computeDistribution, and computeExpectation methods.