55 lines
2.3 KiB
Java
55 lines
2.3 KiB
Java
package org.gcube.dataanalysis.executor.tests;
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import java.util.List;
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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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public class TestSGVMInterpolation {
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public static void main(String[] args) throws Exception {
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// setup the configuration
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AlgorithmConfiguration config = new AlgorithmConfiguration();
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// set the path to the cfg folder and to the PARALLEL_PROCESSING folder
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config.setConfigPath("./cfg/");
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config.setPersistencePath("./PARALLEL_PROCESSING");
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//set the user's inputs. They will passed by the SM to the script in the following way:
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// config.setParam("InputFile", "<absolute path to the file>/tacsatmini.csv"); //put the absolute path to the input file
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config.setParam("InputFile", "./tacsatmini.csv"); //put the absolute path to the input file
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config.setParam("npoints", "10");
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config.setParam("interval", "120");
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config.setParam("margin", "10");
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config.setParam("res", "100");
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config.setParam("method", "SL");
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config.setParam("fm", "0.5");
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config.setParam("distscale", "20");
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config.setParam("sigline", "0.2");
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config.setParam("minspeedThr", "2");
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config.setParam("maxspeedThr", "6");
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config.setParam("headingAdjustment", "0");
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config.setParam("equalDist", "true");
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//set the scope and the user (optional for this test)
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config.setGcubeScope( "/gcube/devsec/devVRE");
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config.setParam("ServiceUserName", "test.user");
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//set the name of the algorithm to call, as is is in the transducerer.properties file
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config.setAgent("SGVM_INTERPOLATION");
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//recall the transducerer with the above name
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List<ComputationalAgent> transducers = TransducerersFactory.getTransducerers(config);
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ComputationalAgent transducer =transducers.get(0);
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//init the transducerer
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transducer.init();
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//start the process
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CustomRegressor.process(transducer);
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//retrieve the output
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StatisticalType st = transducer.getOutput();
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System.out.println("st:"+((PrimitiveType)st).getContent());
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}
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}
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