Re: Normalize a few features (not all)

Neha gupta <[email protected]> Wed, 10 Aug 2022 12:06:00 +0200
Newsgroups gmane.comp.ai.weka
Message-ID <CA+nrPnvyWM198fysj8PgE6f1P1XW9zff3WmpxV1pTe2s5rnBEQ@mail.gmail.com>
Thank you Peter for the useful information.

Best regards

On Wed, Aug 10, 2022 at 11:01 AM Peter Reutemann <[email protected]> wrote:

> 1-6,8-12
>
> Cjeers, Peter
> --
> Peter Reutemann
> Dept. of Computer Science
> University of Waikato, NZ
> +64 (7) 858-5174 (office)
> +64 (7) 577-5304 (home office)
> http://www.cs.waikato.ac.nz/~fracpete/
> http://www.data-mining.co.nz/
>
> Aug 10, 2022 20:43:35 Neha gupta <[email protected]>:
>
> How to specify the range, if we have features 1-12 and we want to
> normalize all features except number 7.
>
> On Wed, Aug 10, 2022 at 3:17 AM Peter Reutemann <[email protected]>
> wrote:
>
>> > In Weka explorer, is it possible I normalize only selected input
>> features and not all?
>> >
>> > My requirement is to normalize all features except one, so can I do
>> that?
>>
>> You can use the PartitionedMultiFilter for that:
>>
>> https://weka.sourceforge.io/doc.dev/weka/filters/unsupervised/attribute/PartitionedMultiFilter.html
>>
>> This meta-filter allows you to define attribute ranges and their
>> associated filters. Just specify the correct range of attributes that
>> you want to normalize and use Normalize as the filter.
>> By default, all attributes not covered by the ranges will just be copied
>> across.
>>
>> Cheers, Peter
>> --
>> Peter Reutemann
>> Dept. of Computer Science
>> University of Waikato, NZ
>> +64 (7) 858-5174 (office)
>> +64 (7) 577-5304 (home office)
>> https://www.cs.waikato.ac.nz/~fracpete/
>> http://www.data-mining.co.nz/
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