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test_ann_iris_prediction.xml
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test_ann_iris_prediction.xml
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<PMML version="4.1" xsi:schemaLocation="http://www.dmg.org/PMML-4_1 http://www.dmg.org/v4-1/pmml-4-1.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.dmg.org/PMML-4_1">
<Header copyright="JBoss"/>
<DataDictionary numberOfFields="5">
<DataField dataType="integer" displayName="Number of Petals" name="petal num" optype="continuous">
<Value value="101"/>
<Value value="102"/>
<Value value="103"/>
<Value value="104"/>
<Value value="1"/>
<Value value="2"/>
<Value value="3"/>
<Value value="40"/>
</DataField>
<DataField dataType="integer" displayName="Width of Petals" name="petal wid" optype="continuous">
<Value value="1"/>
<Value value="2"/>
<Value value="3"/>
</DataField>
<DataField dataType="integer" displayName="Width of Sepals" name="sepal wid" optype="continuous">
<Value value="10"/>
<Value value="20"/>
<Value value="30"/>
</DataField>
<DataField dataType="string" displayName="Species" name="species" optype="categorical">
<Value value="setosa"/>
<Value value="versicolor"/>
<Value value="virginica"/>
</DataField>
<DataField dataType="integer" displayName="Length of Sepals" name="sepal len" optype="continuous">
<Value value="24"/>
<Value value="25"/>
<Value value="150"/>
<Value value="151"/>
<Value value="152"/>
</DataField>
</DataDictionary>
<NeuralNetwork activationFunction="logistic" algorithmName="neuralNetwork" functionName="regression" modelName="neuiris">
<Extension>
<Surveyable/>
</Extension>
<MiningSchema>
<MiningField name="petal num"/>
<MiningField name="petal wid"/>
<MiningField name="sepal wid"/>
<MiningField name="species"/>
<MiningField name="sepal len" usageType="predicted"/>
</MiningSchema>
<Output>
<OutputField name="OutSepLen" targetField="sepal len"/>
</Output>
<NeuralInputs>
<NeuralInput id="0">
<DerivedField dataType="double" optype="continuous">
<NormContinuous field="petal num">
<LinearNorm norm="0" orig="100"/>
<LinearNorm norm="0.5" orig="101"/>
<LinearNorm norm="1" orig="102"/>
</NormContinuous>
</DerivedField>
</NeuralInput>
<NeuralInput id="1">
<DerivedField dataType="double" optype="continuous">
<NormContinuous field="petal wid">
<LinearNorm norm="0" orig="1"/>
<LinearNorm norm="0.5" orig="2"/>
<LinearNorm norm="1" orig="3"/>
</NormContinuous>
</DerivedField>
</NeuralInput>
<NeuralInput id="2">
<DerivedField dataType="double" optype="continuous">
<NormContinuous field="sepal wid">
<LinearNorm norm="0" orig="10"/>
<LinearNorm norm="0.5" orig="15"/>
<LinearNorm norm="1" orig="25"/>
</NormContinuous>
</DerivedField>
</NeuralInput>
<NeuralInput id="3">
<DerivedField dataType="double" optype="continuous">
<NormDiscrete field="species" value="virginica"/>
</DerivedField>
</NeuralInput>
<NeuralInput id="4">
<DerivedField dataType="double" optype="continuous">
<NormDiscrete field="species" value="versicolor"/>
</DerivedField>
</NeuralInput>
<NeuralInput id="5">
<DerivedField dataType="double" optype="continuous">
<NormDiscrete field="species" value="setosa"/>
</DerivedField>
</NeuralInput>
</NeuralInputs>
<NeuralLayer>
<Neuron bias="-1.09891" id="6">
<Con from="0" weight="-2.72"/>
<Con from="1" weight="0.43"/>
<Con from="2" weight="1.25"/>
<Con from="3" weight="-0.33"/>
<Con from="4" weight="-0.40"/>
<Con from="5" weight="1.98"/>
</Neuron>
</NeuralLayer>
<NeuralOutputs>
<NeuralOutput outputNeuron="6">
<DerivedField dataType="double" optype="continuous">
<NormContinuous field="sepal len">
<LinearNorm norm="0.1" orig="20"/>
<LinearNorm norm="0.5" orig="30"/>
<LinearNorm norm="0.9" orig="40"/>
</NormContinuous>
</DerivedField>
</NeuralOutput>
</NeuralOutputs>
</NeuralNetwork>
</PMML>