The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here

Select first n attributes from example set

qwertz2qwertz2 Member Posts: 49 Maven
edited November 2018 in Help

 

Dear all,

 

Is there an efficient way to select first n attributes from an example set? In my process I have reordered the attributes in ascending way. Now I want to proceed with just the first 5 attributes.

 

I was thinking of several combinations of "select attributes", "work ok subset", "branch", "loop attributes" but none of them worked.

 

Looking forward to any comments!

 

 

Best regards

Sachs

Best Answer

  • qwertz2qwertz2 Member Posts: 49 Maven
    Solution Accepted

     

    Wonder why I haven't seen this operator before but "remove attribute range" is the operator that solves my problem! It can be combined with "extract macro" to count the number of attributes first.

Answers

  • MartinLiebigMartinLiebig Administrator, Moderator, Employee-RapidMiner, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,533 RM Data Scientist

    Hi,

     

    i would go for: Filter Examples (remove all), Transpose, Filter Examples Range (Select the atts you want), Transpose, Data to Weights. The result is a weight vector you can apply with Select by Weights to your original data set.

     

    ~Martin

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
  • qwertz2qwertz2 Member Posts: 49 Maven

     

    Hi Martin,

     

    Thanks for your help. That's indeed a good approach that could work but unfortunately not in my case. My example set has many many many attributes and just a few examples. Once I transpose the example set I exceed my license of 10.000 examples as there are even more attributes...

     

    Best regards

    Sachs

Sign In or Register to comment.