From 7531feeea42cef60e513dfd311457567ec6035bc Mon Sep 17 00:00:00 2001
From: ARDOINT <ardoint@fr.ibm.com>
Date: Fri, 23 Jun 2017 15:35:55 +0200
Subject: [PATCH] First version of pom.xml and pmml file

---
 odm-pmml-xom/pom.xml                          |  30 ++++
 .../resources/com/test/neural_insurance.pmml  | 144 ++++++++++++++++++
 2 files changed, 174 insertions(+)
 create mode 100644 odm-pmml-xom/pom.xml
 create mode 100644 odm-pmml-xom/src/main/resources/com/test/neural_insurance.pmml

diff --git a/odm-pmml-xom/pom.xml b/odm-pmml-xom/pom.xml
new file mode 100644
index 0000000..afb3caa
--- /dev/null
+++ b/odm-pmml-xom/pom.xml
@@ -0,0 +1,30 @@
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+
+  <groupId>odm-pmml</groupId>
+  <artifactId>odm-pmml-xom</artifactId>
+  <version>0.0.1-SNAPSHOT</version>
+  <packaging>jar</packaging>
+
+  <name>odm-pmml-xom</name>
+  <url>http://maven.apache.org</url>
+
+  <properties>
+    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
+  </properties>
+
+  <dependencies>
+    <dependency>
+      <groupId>junit</groupId>
+      <artifactId>junit</artifactId>
+      <version>3.8.1</version>
+      <scope>test</scope>
+    </dependency>
+  	<dependency>
+  		<groupId>org.jpmml</groupId>
+  		<artifactId>pmml-evaluator</artifactId>
+  		<version>1.3.5</version>
+  	</dependency>
+  </dependencies>
+</project>
diff --git a/odm-pmml-xom/src/main/resources/com/test/neural_insurance.pmml b/odm-pmml-xom/src/main/resources/com/test/neural_insurance.pmml
new file mode 100644
index 0000000..4b82a6e
--- /dev/null
+++ b/odm-pmml-xom/src/main/resources/com/test/neural_insurance.pmml
@@ -0,0 +1,144 @@
+<PMML xmlns="http://www.dmg.org/PMML-4_3" version="4.3">
+  <Header copyright="DMG.org"/>
+  <DataDictionary numberOfFields="5">
+    <DataField name="gender" optype="categorical" dataType="string">
+      <Value value="  female"/>
+      <Value value="    male"/>
+    </DataField>
+    <DataField name="no of claims" optype="categorical" dataType="string">
+      <Value value="       0"/>
+      <Value value="       1"/>
+      <Value value="       3"/>
+      <Value value="     &amp;gt; 3"/>
+      <Value value="       2"/>
+    </DataField>
+    <DataField name="domicile" optype="categorical" dataType="string">
+      <Value value="suburban"/>
+      <Value value="   urban"/>
+      <Value value="   rural"/>
+    </DataField>
+    <DataField name="age of car" optype="continuous" dataType="double"/>
+    <DataField name="amount of claims" optype="continuous" dataType="integer"/>
+  </DataDictionary>
+  <NeuralNetwork modelName="Neural Insurance" functionName="regression" activationFunction="logistic" numberOfLayers="2">
+    <MiningSchema>
+      <MiningField name="gender"/>
+      <MiningField name="no of claims"/>
+      <MiningField name="domicile"/>
+      <MiningField name="age of car"/>
+      <MiningField name="amount of claims" usageType="target"/>
+    </MiningSchema>
+    <NeuralInputs numberOfInputs="10">
+      <NeuralInput id="0">
+        <DerivedField optype="continuous" dataType="double">
+          <NormContinuous field="age of car">
+            <LinearNorm orig="0.01" norm="0"/>
+            <LinearNorm orig="3.07897" norm="0.5"/>
+            <LinearNorm orig="11.44" norm="1"/>
+          </NormContinuous>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="1">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="gender" value="    male"/>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="2">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="no of claims" value="       0"/>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="3">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="no of claims" value="       1"/>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="4">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="no of claims" value="       3"/>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="5">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="no of claims" value="     &amp;gt; 3"/>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="6">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="no of claims" value="       2"/>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="7">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="domicile" value="suburban"/>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="8">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="domicile" value="   urban"/>
+        </DerivedField>
+      </NeuralInput>
+      <NeuralInput id="9">
+        <DerivedField optype="continuous" dataType="double">
+          <NormDiscrete field="domicile" value="   rural"/>
+        </DerivedField>
+      </NeuralInput>
+    </NeuralInputs>
+    <NeuralLayer numberOfNeurons="3">
+      <Neuron id="10">
+        <Con from="0" weight="-2.08148"/>
+        <Con from="1" weight="3.69657"/>
+        <Con from="2" weight="-1.89986"/>
+        <Con from="3" weight="5.61779"/>
+        <Con from="4" weight="0.427558"/>
+        <Con from="5" weight="-1.25971"/>
+        <Con from="6" weight="-6.55549"/>
+        <Con from="7" weight="-4.62773"/>
+        <Con from="8" weight="1.97525"/>
+        <Con from="9" weight="-1.0962"/>
+      </Neuron>
+      <Neuron id="11">
+        <Con from="0" weight="-0.698997"/>
+        <Con from="1" weight="-3.54943"/>
+        <Con from="2" weight="-3.29632"/>
+        <Con from="3" weight="-1.20931"/>
+        <Con from="4" weight="1.00497"/>
+        <Con from="5" weight="0.033502"/>
+        <Con from="6" weight="1.12016"/>
+        <Con from="7" weight="0.523197"/>
+        <Con from="8" weight="-2.96135"/>
+        <Con from="9" weight="-0.398626"/>
+      </Neuron>
+      <Neuron id="12">
+        <Con from="0" weight="0.904057"/>
+        <Con from="1" weight="1.75084"/>
+        <Con from="2" weight="2.51658"/>
+        <Con from="3" weight="-0.151895"/>
+        <Con from="4" weight="-2.88008"/>
+        <Con from="5" weight="0.920063"/>
+        <Con from="6" weight="-3.30742"/>
+        <Con from="7" weight="-1.72251"/>
+        <Con from="8" weight="-1.13156"/>
+        <Con from="9" weight="-0.758563"/>
+      </Neuron>
+    </NeuralLayer>
+    <NeuralLayer numberOfNeurons="1">
+      <Neuron id="13">
+        <Con from="10" weight="0.76617"/>
+        <Con from="11" weight="-1.5065"/>
+        <Con from="12" weight="0.999797"/>
+      </Neuron>
+    </NeuralLayer>
+    <NeuralOutputs numberOfOutputs="1">
+      <NeuralOutput outputNeuron="13">
+        <DerivedField optype="continuous" dataType="double">
+          <NormContinuous field="amount of claims">
+            <LinearNorm orig="0" norm="0.1"/>
+            <LinearNorm orig="1291.68" norm="0.5"/>
+            <LinearNorm orig="5327.26" norm="0.9"/>
+          </NormContinuous>
+        </DerivedField>
+      </NeuralOutput>
+    </NeuralOutputs>
+  </NeuralNetwork>
+</PMML>
\ No newline at end of file