I am using mlr3 'fast nearest neighbor' leaner i.e. fnnIts parameter is 'k' which has a default value of 1. When I use tuningusing random search, I set the parameter of k as: lower= 0, upper=3But it gives an error messageError in self$assert(xs) : Assertion on 'xs' failed: k: Element 1 is not >= 1.I have tried different values but the error remains.Warm regards [[alternative HTML version deleted]] I know absolutely nothing about the specific statistical tools being used here, but:
In several nearest neighbor routines, the parameter k refers to the number of nearest neighbors to be considered (in some computation). In that case, k must be at least 1, which is what the cited error message seems to be claiming. Are you certain that k = 0 is a legitimate setting? - T. Arthur Milne ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
