Re: Normalize a few features (not all)

Neha gupta <[email protected]> Wed, 10 Aug 2022 20:44:02 +0200
Newsgroups gmane.comp.ai.weka
Message-ID <CA+nrPns3FEBULwc0phSOKmiDJB9W+=5AjZFGWOXGuJEUWF72KQ@mail.gmail.com>
Hello Peter

When I apply the filter, why do I get the names of the features like
"filtered-0-version", "filtered-0-loc", "filtered-0-wmc etc", rather than
simply the features like version, loc, wmc etc.

Best regards

On Wed, Aug 10, 2022 at 12:06 PM Neha gupta <[email protected]>
wrote:

> 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/
>>> _______________________________________________
>>> Wekalist mailing list -- [email protected]
>>> Send posts to [email protected]
>>> To unsubscribe send an email to [email protected]
>>> To subscribe, unsubscribe, etc., visit
>>> https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz
>>> List etiquette:
>>> http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html
>>>
>> _______________________________________________
>> Wekalist mailing list -- [email protected]
>> Send posts to [email protected]
>> To unsubscribe send an email to [email protected]
>> To subscribe, unsubscribe, etc., visit
>> https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz
>> List etiquette:
>> http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html
>>
>

_______________________________________________
Wekalist mailing list -- [email protected]
Send posts to [email protected]
To unsubscribe send an email to [email protected]
To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/postorius/lists/wekalist.list.waikato.ac.nz
List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html