A message instructing the handler to compute the distribution of the target element.
A message instructing the handler to compute the expectation of the target element under the given function
A message instructing the handler to compute the probability of the predicate for the target element.
A message from the handler containing the distribution of the previously requested element.
A message from the handler containing the expected value of the previously requested element and function.
A message from the handler containing the probability of the previously requested predicate and element.
A class representing the actor running the algorithm.
Return an estimate of the marginal probability distribution over the target that lists each element with its probability.
Return an estimate of the marginal probability distribution over the target that lists each element with its probability. The result is a lazy stream. It is up to the algorithm how the stream is ordered.
Return an estimate of the expectation of the function under the marginal probability distribution of the target.
Return an estimate of the expectation of the function under the marginal probability distribution of the target.
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.
Return an estimate of the probability of the predicate under the marginal probability distribution of the target.
Return an estimate of the probability of the predicate under the marginal probability distribution of the target.
The actor running the algorithm.
The actor running the algorithm.
Return an estimate of the marginal probability distribution over the target that lists each element with its probability.
Return an estimate of the marginal probability distribution over the target that lists each element with its probability. The result is a lazy stream. It is up to the algorithm how the stream is ordered. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.
Return an estimate of the expectation of the function under the marginal probability distribution of the target.
Return an estimate of the expectation of the function under the marginal probability distribution of the target. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.
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.
Return the mean of the probability density function for the given continuous element
Return the mean of the probability density function for the given continuous element
Return an element representing the posterior probability distribution of the given element
Return an element representing the posterior probability distribution of the given element
Return an estimate of the probability that the target produces the value.
Return an estimate of the probability that the target produces the value. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.
Return an estimate of the probability of the predicate under the marginal probability distribution of the target.
Return an estimate of the probability of the predicate under the marginal probability distribution of the target. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.
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
Return the variance of the probability density function for the given continuous element
Return the variance of the probability density function for the given continuous element
Anytime algorithms that compute conditional probability of query elements. A class that implements this trait must implement initialize, runStep, computeDistribution, and computeExpectation methods.