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How to ignore a column?

Legacy UserLegacy User Member Posts: 0 Newbie
edited November 2018 in Help
Hi all,

My table is a csv file with columns X1,X2,Y1,Y2, and I would like to fit separately Y1 = f(X1,X2) and then Y2 = f(X1,X2).

How do I tell the rapid miner to ignore the column Y2 when fitting the Y1?

Victor

Answers

  • steffensteffen Member Posts: 347  Maven
    Hello Victor

    using (for example) FeatureNameFilter" switches Attributes off. If you want to perform both fittings within a single process, I further the suggest the usage of "IOMultiplier" and "IOSelector" (see manual for details)

    something like this:

    <operator name="Root" class="Process" expanded="yes">
        <operator name="IOMultiplier" class="IOMultiplier">
            <parameter key="io_object" value="ExampleSet"/>
        </operator>
        <operator name="skip_Y1" class="FeatureNameFilter">
            <parameter key="skip_features_with_name" value="Y1"/>
        </operator>
        <operator name="here_goes_Y2=f(X1,X2)" class="OperatorChain" expanded="yes">
        </operator>
        <operator name="IOSelector" class="IOSelector">
            <parameter key="io_object" value="ExampleSet"/>
        </operator>
        <operator name="skip_Y2" class="FeatureNameFilter">
            <parameter key="skip_features_with_name" value="Y2"/>
        </operator>
        <operator name="here_goes_Y1=f(X1,X2)" class="OperatorChain" expanded="yes">
        </operator>
    </operator>
    hope this was helpful

    greetings

    Steffen
  • Legacy UserLegacy User Member Posts: 0 Newbie
    Yes it was.

    Could you also add a feature to the data import wizard: column type = {id, attribute, label,...} -- add "Ignored" to this list ?

    For the newbies like me.

  • IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University Professor Posts: 1,749  RM Founder
    We will think about it. Actually, you could also use the operator InteractiveFeatureWeighting if you want to deselect features by a click - but this can sometimes be a lot of work  ;)

    Cheers,
    Ingo
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