"Attribute weighting and cross validation"

Username

Hi,

I want to select e.g the 80% best attributes according to the information gain. The first inner operator of the WrapperXValidation operator must return AttributeWeights, so how can I modify my AttributeWeights returned from InfoGainWeighting that the weights of the 80% worst attributes are set to zero?

Thanks

IngoRM

Hi,

since the info gain weighting would deliver always the same weights I do not see why to use the Wrapper validation for that. You could simply apply the operator AttributeWeightSelection for using the top k attributes. Here is an example:

<operator name="Root" class="Process" expanded="yes">
    <operator name="ExampleSetGenerator" class="ExampleSetGenerator">
        <parameter key="number_examples"	value="500"/>
        <parameter key="number_of_attributes"	value="100"/>
        <parameter key="target_function"	value="sum classification"/>
    </operator>
    <operator name="InfoGainWeighting" class="InfoGainWeighting">
    </operator>
    <operator name="AttributeWeightSelection" class="AttributeWeightSelection">
        <parameter key="k"	value="80"/>
        <parameter key="weight_relation"	value="top k"/>
    </operator>
</operator>

Hope that gives you the basic idea.

Cheers,
Ingo