addAlgorithm: Define Algorithms for Experiments

In mllg/batchtools: Tools for Computation on Batch Systems

Define Algorithms for Experiments

Description

Algorithms are functions which get the codedata part as well as the problem instance (the return value of the function defined in Problem) and return an arbitrary R object.

This function serializes all components to the file system and registers the algorithm in the ExperimentRegistry.

removeAlgorithm removes all jobs from the registry which depend on the specific algorithm. reg$algorithms holds the IDs of already defined algorithms.

Usage

addAlgorithm(name, fun = NULL, reg = getDefaultRegistry())

removeAlgorithms(name, reg = getDefaultRegistry())

Arguments

name	[character(1)] Unique identifier for the algorithm.
fun	[function] The algorithm function. The static problem part is passed as “data”, the generated problem instance is passed as “instance” and the Job/Experiment as “job”. Therefore, your function must have the formal arguments “job”, “data” and “instance” (or dots ...). If you do not provide a function, it defaults to a function which just returns the instance.
reg	[ExperimentRegistry] Registry. If not explicitly passed, uses the last created registry.

Value

[Algorithm]. Object of class “Algorithm”.

See Also

Problem, addExperiments

mllg/batchtools documentation built on April 21, 2023, 11:49 a.m.