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 <miln...@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]]
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