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applying optimal parameters to SVM model
Maven
Hi
I wrote the following to code to get optimal parameters for a libsvm model then applying them to the model.
The codes is successful to do frist step (find the opimumum C, gamma) however I can't apply them in my model :
I'd appreciate if you help me
Regards
I wrote the following to code to get optimal parameters for a libsvm model then applying them to the model.
The codes is successful to do frist step (find the opimumum C, gamma) however I can't apply them in my model :
<operator name="Root" class="Process" expanded="yes">
<operator name="ExampleSetGenerator" class="ExampleSetGenerator">
<parameter key="target_function" value="polynomial classification"/>
</operator>
<operator name="IOStorer" class="IOStorer">
<parameter key="name" value="datacopy"/>
<parameter key="io_object" value="ExampleSet"/>
<parameter key="remove_from_process" value="false"/>
</operator>
<operator name="GridParameterOptimization" class="GridParameterOptimization" expanded="yes">
<list key="parameters">
<parameter key="LibSVMLearner.C" value="[1.0;200.0;1;linear]"/>
<parameter key="LibSVMLearner.gamma" value="[0.0;1.0;1;linear]"/>
</list>
<operator name="XValidation (2)" class="XValidation" expanded="yes">
<operator name="LibSVMLearner" class="LibSVMLearner">
<parameter key="C" value="200.0"/>
<list key="class_weights">
</list>
</operator>
<operator name="OperatorChain" class="OperatorChain" expanded="yes">
<operator name="ModelApplier" class="ModelApplier">
<list key="application_parameters">
</list>
</operator>
<operator name="BinominalClassificationPerformance" class="BinominalClassificationPerformance">
<parameter key="main_criterion" value="specificity"/>
<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"/>
<parameter key="sensitivity" value="true"/>
<parameter key="specificity" value="true"/>
</operator>
</operator>
</operator>
<operator name="ProcessLog (2)" class="ProcessLog">
<parameter key="filename" value="output_%{a}.log"/>
<list key="log">
<parameter key="File" value="operator.CSVExampleSource.parameter.filename"/>
<parameter key="Iteration" value="operator.GridParameterOptimization.value.applycount"/>
<parameter key="gamma" value="operator.LibSVMLearner.parameter.gamma"/>
<parameter key="C" value="operator.LibSVMLearner.parameter.C"/>
<parameter key="Performance_main criterion" value="operator.XValidation (2).value.performance"/>
<parameter key="Deviation" value="operator.XValidation (2).value.deviation"/>
<parameter key="sdfg" value="operator.GridParameterOptimization.value.performance"/>
</list>
<parameter key="sorting_dimension" value="3"/>
</operator>
</operator>
<operator name="IORetriever" class="IORetriever">
<parameter key="name" value="datacopy"/>
<parameter key="io_object" value="ExampleSet"/>
</operator>
<operator name="ParameterSetter" class="ParameterSetter">
<list key="name_map">
<parameter key="Opt_svm" value="Opt_svm"/>
</list>
</operator>
<operator name="OPT_XValidation" class="XValidation" expanded="yes">
<parameter key="sampling_type" value="shuffled sampling"/>
<operator name="Opt_svm" class="LibSVMLearner">
<parameter key="gamma" value="0.5"/>
<parameter key="C" value="100.0"/>
<list key="class_weights">
</list>
</operator>
<operator name="Opt_ApplierChain" class="OperatorChain" expanded="yes">
<operator name="Opt_Applier" class="ModelApplier">
<list key="application_parameters">
</list>
</operator>
<operator name="Opt_Performance" class="BinominalClassificationPerformance">
<parameter key="main_criterion" value="specificity"/>
<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"/>
<parameter key="sensitivity" value="true"/>
<parameter key="specificity" value="true"/>
</operator>
</operator>
</operator>
<operator name="saving output" class="OperatorChain" expanded="no">
<operator name="PerformanceWriter" class="PerformanceWriter">
<parameter key="performance_file" value="wrapper_per"/>
</operator>
<operator name="ResultWriter (2)" class="ResultWriter">
<parameter key="result_file" value="wrapper_results"/>
</operator>
<operator name="ProcessLog (3)" class="ProcessLog">
<parameter key="filename" value="output_%{a}.log"/>
<list key="log">
<parameter key="File" value="operator.CSVExampleSource.parameter.filename"/>
<parameter key="Iteration" value="operator.ParameterIteration.value.iteration"/>
<parameter key="gamma" value="operator.Opt_svm.parameter.gamma"/>
<parameter key="C" value="operator.Opt_svm.parameter.C"/>
<parameter key="Performance_main criterion" value="operator.OPT_XValidation.value.performance"/>
<parameter key="Deviation" value="operator.OPT_XValidation.value.deviation"/>
</list>
<parameter key="sorting_dimension" value="3"/>
</operator>
</operator>
</operator>
I'd appreciate if you help me
Regards
Tagged:
0
Answers
Just a small slip in the parameter setter I think, as this seems to work...
it works well
Regards
REZA