WeightOptimization in RM4

schmitt

Hi all,

I'm trying to interatively optimize my classifier with WeightOptimization from RapidMiner 4. (Many of my processes are still in RM4, so I'm still somehow tied to RM4).
Can anybody share a running example? Haven't found anything about this operator.

I always get the error "Parameter optimization not supported for non-number parameter type 'BinominalClassificationPerformance.false_positive'"

Any clue?

Alex

<operator name="Classifier" class="Process" expanded="yes">
    <operator name="NominalExampleSetGenerator" class="NominalExampleSetGenerator">
    </operator>
    <operator name="InfoGainRatioWeighting" class="InfoGainRatioWeighting">
    </operator>
    <operator name="WeightOptimization" class="WeightOptimization" expanded="yes">
        <parameter key="parameter"	value="BinominalClassificationPerformance.false_positive"/>
        <operator name="XValidation" class="XValidation" expanded="yes">
            <operator name="Weka-SMO" class="W-SMO">
                <parameter key="D"	value="true"/>
                <parameter key="C"	value="0.01"/>
                <parameter key="N"	value="1.0"/>
                <parameter key="M"	value="true"/>
                <parameter key="K"	value="weka.classifiers.functions.supportVector.PolyKernel -D -C 0 -E 1.0"/>
            </operator>
            <operator name="OperatorChain" class="OperatorChain" expanded="yes">
                <operator name="Apply Model" class="ModelApplier">
                    <list key="application_parameters">
                    </list>
                </operator>
                <operator name="BinominalClassificationPerformance" class="BinominalClassificationPerformance">
                    <parameter key="keep_example_set"	value="true"/>
                    <parameter key="precision"	value="true"/>
                    <parameter key="recall"	value="true"/>
                    <parameter key="f_measure"	value="true"/>
                    <parameter key="false_positive"	value="true"/>
                    <parameter key="false_negative"	value="true"/>
                    <parameter key="true_positive"	value="true"/>
                    <parameter key="true_negative"	value="true"/>
                </operator>
            </operator>
        </operator>
    </operator>
</operator>

land

Hi,
what about converting the processes to RapidMiner 5? Most of them should still work or will work with small adjustments.

Unfortuantely we can't give you support for RM 4 anymore...

Greetings,
Sebastian