63 lines
1.9 KiB
Java
Executable File
63 lines
1.9 KiB
Java
Executable File
package org.gcube.dataanalysis.wps.statisticalmanager.synchserver.test;
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public class TestMappedModellers {
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/*
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@Test
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public void testFEED_FORWARD_ANN() throws Exception{
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FEED_FORWARD_ANN algorithm = new FEED_FORWARD_ANN();
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// algorithm.setScope("/gcube/devsec");
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// algorithm.setUserName("wps.synch");
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File f1 = new File("./datasets/locallinkshcaf1.txt");
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algorithm.setTrainingDataSet(new GenericFileData(f1, "UTF-8"));
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algorithm.setLayersNeurons(10+"|"+10);
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algorithm.setLearningThreshold(0.01);
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algorithm.setMaxIterations(100);
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algorithm.setModelName("wps_model_ann");
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algorithm.setReference("1");
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algorithm.setTargetColumn("depthmean");
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algorithm.setTrainingColumns("depthmin|depthmax");
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algorithm.run();
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}
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*/
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/*
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@Test
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public void testHSPEN() throws Exception{
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HSPEN algorithm = new HSPEN();
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algorithm.setScope("/gcube/devsec");
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File f1 = new File("./datasets/locallinkshcaf1.txt");
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algorithm.setCsquarecodesTable(new GenericFileData(f1, "UTF-8"));
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File f2 = new File("./datasets/locallinkshspen1.txt");
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algorithm.setEnvelopeTable(new GenericFileData(f2, "UTF-8"));
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File f3 = new File("./datasets/linkocccells.txt");
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algorithm.setOccurrenceCellsTable(new GenericFileData(f3, "UTF-8"));
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algorithm.setOuputEnvelopeTableLabel("wps_hspen_regenerated");
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algorithm.run();
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}
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*/
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/*
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@Test
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public void testAQUAMAPSNN() throws Exception{
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AQUAMAPSNN algorithm = new AQUAMAPSNN();
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// algorithm.setScope("/gcube/devsec");
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// algorithm.setUserName("wps.stat");
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File f1 = new File("./datasets/locallinkshcaf1.txt");
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algorithm.setAbsenceDataTable(new GenericFileData(f1, "UTF-8"));
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algorithm.setLayersNeurons("10|10");
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algorithm.setNeuralNetworkName("wps_aquamaps_nn");
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algorithm.setSpeciesName("Latimeria chalumnae");
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algorithm.setPresenceDataTable(new GenericFileData(f1, "UTF-8"));
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algorithm.run();
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}
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*/
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}
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