setStoppingCriteria: Set stopping criteria.

In rrecsys: Environment for Evaluating Recommender Systems

Description

Define stopping criteria for functions that need a convergence check.

Usage

setStoppingCriteria(autoConverge = FALSE, 
  deltaErrorThreshold = 1e-05, nrLoops = NULL, minNrLoops = 10)
showStoppingCriteria()
showDeltaError()

Arguments

autoConverge	class "logical", turns on the auto-convergence algorithm.
deltaErrorThreshold	class "numeric", is the threshold for the auto-convergence algorithm.
nrLoops	class "numeric", number of loops that will be performed in case autoConvergence is FALSE
minNrLoops	class "numeric", the minimum number of loops to consider before verifying the deltaErrorThreshold.

Details

If autoConvergence = TRUE tells the package to monitor the difference of global RMSE on two consecutive iterations, and to see if it drops below a threshold value. Whenever it drops under the specified value the iteration is considered converged. If FALSE the limit of iterations is delimited by nrLoops

Methods

showStoppingCriteria

Print on console the current configuration of the convergence algorithm.

showDeltaError

Report the delta error on each iteration of the algorithm that requires an auto-convergence algorithm.

References

M. D. Ekstrand, M. Ludwig, J. Kolb, and J. T. Riedl, “LensKit: a modular recommender framework,”, Proc. fifth ACM Conf. Recomm. Syst. - RecSys ’11, p. 349, 2011.

See Also

See Also as rrecsys, SVDclass, wALSclass, BPRclass.

Examples

setStoppingCriteria(autoConverge = TRUE)

setStoppingCriteria(nrLoops = 30)

rrecsys documentation built on June 10, 2019, 1:02 a.m.