class "logical", turns on the autoconvergence algorithm.
deltaErrorThreshold
class "numeric", is the threshold for the autoconvergence 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.
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 autoconvergence algorithm.
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
References
M. D. Ekstrand, M. Ludwig, J. Kolb, and J. T. Riedl, <U+201C>LensKit: a modular recommender framework,<U+201D>, Proc. fifth ACM Conf. Recomm. Syst. - RecSys <U+2019>11, p. 349, 2011.