Added Hoeffding Adaptive Tree Classification sample

modules/samples/artifacts/0045/README

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+Prerequisites:
+Convert moa-2016.04.jar from https://mvnrepository.com/artifact/nz.ac.waikato.cms.moa/moa/2016.04
+into osgi bundle and copy it into {WSO2SPHome}/lib folder
+
+1. Copy {WSO2SPHome}/samples/artifacts/0045/hoeffding-adaptive-tree-sample.siddhi file to {WSO2SPHome}/deployment/siddhi-files
+
+2. Copy {WSO2SPHome}/samples/artifacts/0045/train.json and test.json files to {WSO2SPHome}/deployment/simulation-configs
+
+3. Copy {WSO2SPHome}/samples/artifacts/0045/hoeffdingTraining.csv and hoeffdingTesting.csv file to {WSO2SPHome}/deployment/csv-files
+
+4. Start the worker using ./{WSO2SPHome}/bin/worker.sh
+
+5. Run the following curl command to simulate classification with events in hoeffdingTraining.csv and hoeffdingTesting.csv
+   curl -X POST http://localhost:9090/simulation/feed/train/?action=run
+
+   curl -X POST http://localhost:9090/simulation/feed/test/?action=run
+
+6. See the output in the WSO2SP terminal
+

modules/samples/artifacts/0045/hoeffding-adaptive-tree-sample.siddhi

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+@App:name("hoeffding-adaptive-tree-sample")
+
+define stream StreamTrain (attribute_0 double, attribute_1 double, attribute_2 double, attribute_3 double, attribute_4 string );
+
+define stream StreamA (attribute_0 double, attribute_1 double, attribute_2 double, attribute_3 double);
+
+@info(name = 'query-train')
+from StreamTrain#streamingml:updateHoeffdingTree('model1', 4, attribute_0, attribute_1, attribute_2, attribute_3, attribute_4 )
+select *
+insert into trainOutputStream;
+
+@info(name = 'query-predict')
+from StreamA#streamingml:hoeffdingTreeClassifier('model1', attribute_0, attribute_1, attribute_2, attribute_3 )
+select attribute_0, attribute_1, attribute_2, attribute_3, prediction, confidenceLevel
+insert into outputStream;
+
+from outputStream#log("LOGGER")
+select *
+insert into temp2;

modules/samples/artifacts/0045/hoeffdingTesting.csv

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+6.5,2.8,4.6,1.5
+5.7,2.5,5,2
+6.5,3,5.8,2.2
+6.4,2.9,4.3,1.3
+6.3,2.5,5,1.9
+

modules/samples/artifacts/0045/hoeffdingTraining.csv

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+6,2.2,4,1,versicolor
+5.4,3.4,1.7,0.2,setosa
+6.9,3.1,5.4,2.1,virginica
+4.3,3,1.1,0.1,setosa
+6.1,2.8,4.7,1.2,versicolor
+4.9,3,1.4,0.2,setosa
+5.5,2.5,4,1.3,versicolor
+5.4,3.9,1.3,0.4,setosa
+4.3,3,1.1,0.1,setosa
+6.8,2.8,4.8,1.4,versicolor
+6.4,3.1,5.5,1.8,virginica
+6.8,3,5.5,2.1,virginica
+6.1,2.6,5.6,1.4,virginica
+7.4,2.8,6.1,1.9,virginica
+4.8,3.4,1.9,0.2,setosa
+5.8,2.7,4.1,1,versicolor
+5.1,2.5,3,1.1,versicolor
+6.3,2.8,5.1,1.5,virginica
+7.7,3.8,6.7,2.2,virginica
+5.1,3.8,1.6,0.2,setosa

modules/samples/artifacts/0045/test.json

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+{"properties":{"simulationName":"test","startTimestamp":"","endTimestamp":"","noOfEvents":"5","description":"","timeInterval":""},"sources":[{"siddhiAppName":"hoeffding-adaptive-tree-sample","streamName":"StreamA","timeInterval":"1000","simulationType":"CSV_SIMULATION","fileName":"hoeffdingTesting.csv","delimiter":",","isOrdered":true}]}

modules/samples/artifacts/0045/train.json

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+{"properties":{"simulationName":"train","startTimestamp":"","endTimestamp":"","noOfEvents":"20","description":"","timeInterval":""},"sources":[{"siddhiAppName":"hoeffding-adaptive-tree-sample","streamName":"StreamTrain","timeInterval":"1000","simulationType":"CSV_SIMULATION","fileName":"hoeffdingTraining.csv","delimiter":",","isOrdered":true}]}

pom.xml

@@ -799,7 +799,7 @@
         <siddhi.execution.math.version>4.0.1</siddhi.execution.math.version>
         <siddhi.execution.stat.version>1.0.1</siddhi.execution.stat.version>
         <siddhi.execution.timeseries.version>4.0.1</siddhi.execution.timeseries.version>
-        <siddhi.execution.streamingml.version>1.0.0</siddhi.execution.streamingml.version>
+        <siddhi.execution.streamingml.version>1.0.1</siddhi.execution.streamingml.version>
         <siddhi.execution.geo.version>4.0.0</siddhi.execution.geo.version>
         <siddhi.script.js.version>4.0.1</siddhi.script.js.version>
         <siddhi.io.jms.version>1.0.5</siddhi.io.jms.version>