[R] Fwd: Error in setting the parameter values of k

[Neha gupta]

Hello, I am sorry but after settings the value of C between 1 and 7, I get
the following error message now:

Error in self$assert(xs) :
  Assertion on 'xs' failed: The parameter 'C' can only be set if the
following condition is met 'type <U+2208> {eps-svr, eps-bsvr}'. Instead the
parameter value for 'type' is not set at all. Try setting 'type' to a value
that satisfies the condition.

I have set the parameter values as following:

search_space = paradox::ParamSet$new(
 params = list(paradox::ParamInt$new("C", lower = 1, upper = 7)))


On Tue, Dec 29, 2020 at 6:36 PM Neha gupta <neha.bologna90 using gmail.com> wrote:

> Thanks a lot, Milne and Patrick.
>
> I am going to change the values, hopefully the error message will
> disappear.
>
> Warm regards
>
> On Tue, Dec 29, 2020 at 5:53 PM Patrick (Malone Quantitative) <
> malone using malonequantitative.com> wrote:
>
>> 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 using 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 using 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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>>
>>
>> --
>> Patrick S. Malone, Ph.D., Malone Quantitative
>> NEW Service Models: http://malonequantitative.com
>>
>> He/Him/His
>>
>

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