48 lines
1.4 KiB
Java
48 lines
1.4 KiB
Java
package eu.dnetlib.deeplearning;
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import com.beust.jcommander.internal.Sets;
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import com.google.common.collect.Lists;
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import eu.dnetlib.deeplearning.support.DataSetProcessor;
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import eu.dnetlib.support.Relation;
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import org.junit.jupiter.api.BeforeAll;
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import org.junit.jupiter.api.Test;
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import org.nd4j.linalg.dataset.MultiDataSet;
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import java.util.*;
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import java.util.stream.Collectors;
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public class DataSetProcessorTest {
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static Map<String, double[]> features;
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static Set<Relation> relations;
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static List<String> groundTruth;
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@BeforeAll
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public static void init(){
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//initialize example features
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features = new HashMap<>();
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features.put("0", new double[]{0.0,0.0});
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features.put("1", new double[]{1.0,1.0});
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features.put("2", new double[]{2.0,2.0});
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//initialize example relations
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relations = new HashSet<>(Lists.newArrayList(
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new Relation("0", "1", "simrel"),
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new Relation("1", "2", "simrel")
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));
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//initialize example ground truth
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groundTruth = Lists.newArrayList("class1", "class1", "class2");
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}
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@Test
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public void getMultiDataSetTest() throws Exception {
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MultiDataSet multiDataSet = DataSetProcessor.getMultiDataSet(features, relations, groundTruth);
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System.out.println("multiDataSet = " + multiDataSet);
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multiDataSet.asList();
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}
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}
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