Thank you for your response. Are you certain that k = 0 is a legitimate setting? Since, the default value of k is 1, I wanted to search between the values of 0 to 3. Milne, Do you mean I have to provide both the lower and upper bounds greater than 1 in order to get rid of this error? On Tue, Dec 29, 2020 at 4:50 PM T. A. Milne <milneta at tuta.io> wrote:> 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$assert(xs) : Assertion on 'xs' failed: k: Element 1 > is not >= 1.I have tried different values but the error remains.Warm > regards [[alternative HTML version deleted]] > I know absolutely nothing about the specific statistical tools being used > here, but: > > In several nearest neighbor routines, the parameter k refers to the number > of nearest neighbors to be considered (in some computation). In that case, > k must be at least 1, which is what the cited error message seems to be > claiming. Are you certain that k = 0 is a legitimate setting? > > > - T. Arthur Milne > > >[[alternative HTML version deleted]]
Patrick (Malone Quantitative)
2020-Dec-29 16:53 UTC
[R] Fwd: Error in setting the parameter values of k
Likely, yes. Your error message says k must be at least 1, so searching below 1 is probably your issue. Also, logically, zero nearest neighbors doesn't seem to make a lot of sense. Pat On Tue, Dec 29, 2020 at 11:01 AM Neha gupta <neha.bologna90 at gmail.com> wrote:> Thank you for your response. > > Are you certain that k = 0 is a legitimate setting? > > Since, the default value of k is 1, I wanted to search between the values > of 0 to 3. > > Milne, Do you mean I have to provide both the lower and upper bounds > greater than 1 in order to get rid of this error? > > On Tue, Dec 29, 2020 at 4:50 PM T. A. Milne <milneta at tuta.io> wrote: > > > I am using mlr3 'fast nearest neighbor' leaner i.e. fnnIts parameter is > > 'k' which has a default value of 1. When I use tuningusing random > search, I > > set the parameter of k as: lower= 0, upper=3But it gives an error > > messageError in self$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 > > > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at 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. >-- Patrick S. Malone, Ph.D., Malone Quantitative NEW Service Models: http://malonequantitative.com He/Him/His [[alternative HTML version deleted]]