76 lines
2.0 KiB
Java
76 lines
2.0 KiB
Java
package org.gcube.dataaccess.algorithms.test.regressiontest;
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import java.util.LinkedHashMap;
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import java.util.List;
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import org.gcube.contentmanagement.lexicalmatcher.utils.AnalysisLogger;
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import org.gcube.dataanalysis.ecoengine.configuration.AlgorithmConfiguration;
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import org.gcube.dataanalysis.ecoengine.datatypes.PrimitiveType;
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import org.gcube.dataanalysis.ecoengine.datatypes.StatisticalType;
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import org.gcube.dataanalysis.ecoengine.interfaces.ComputationalAgent;
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import org.gcube.dataanalysis.ecoengine.processing.factories.TransducerersFactory;
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import org.gcube.dataanalysis.ecoengine.test.regression.Regressor;
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public class RegressionListNames {
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static String[] algorithms = { "Postgres1", "Postgres2", "Postgis",
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"Mysql", "NullInputValue" };
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static AlgorithmConfiguration config;
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public static void main(String[] args) throws Exception {
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System.out.println("TEST 1");
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// for (int i = 0; i < algorithms.length; i++) {
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AnalysisLogger.getLogger().debug("Executing:" + "test");
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AlgorithmConfiguration config = Regressor.getConfig();
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config.setAgent("LISTDBNAMES");
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config.setGcubeScope("/gcube");
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List<ComputationalAgent> trans = null;
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trans = TransducerersFactory.getTransducerers(config);
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trans.get(0).init();
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// trans.setConfiguration(configs[i]);
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// trans.init();
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Regressor.process(trans.get(0));
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StatisticalType st = trans.get(0).getOutput();
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AnalysisLogger.getLogger().debug("ST:" + st);
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// // Print Result
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// PrimitiveType obj= (PrimitiveType)st;
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// Object result=(Object) (obj.getContent());
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// LinkedHashMap map=new LinkedHashMap<String, String>();
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//
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// map= (LinkedHashMap) result;
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//
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// for(int j=0;j<map.size();j++){
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//
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// AnalysisLogger.getLogger().debug("value:" + map.get(j));
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//
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// }
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trans = null;
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// }
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}
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// private static AlgorithmConfiguration test() {
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//
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// AlgorithmConfiguration config = Regressor.getConfig();
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//
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// config.setAgent("LISTDBNAMES");
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// config.setGcubeScope("/gcube");
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// return config;
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//
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// }
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}
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