<NME> SeedExtractorTest.java
<BEF> ADDFILE
<MSG> add class SeedExtractor

<DFF> @@ -0,0 +1,36 @@
+package edu.neu.ccs.pyramid.feature_extraction;
+
+import edu.neu.ccs.pyramid.classification.PriorProbClassifier;
+import edu.neu.ccs.pyramid.configuration.Config;
+import edu.neu.ccs.pyramid.dataset.ClfDataSet;
+import edu.neu.ccs.pyramid.dataset.DataSetType;
+import edu.neu.ccs.pyramid.dataset.TRECFormat;
+import edu.neu.ccs.pyramid.regression.regression_tree.RegTreeConfig;
+import edu.neu.ccs.pyramid.regression.regression_tree.SplitResult;
+import edu.neu.ccs.pyramid.regression.regression_tree.Splitter;
+
+import java.io.File;
+import java.util.Comparator;
+import java.util.List;
+import java.util.stream.Collectors;
+import java.util.stream.IntStream;
+
+import static org.junit.Assert.*;
+
+public class SeedExtractorTest {
+    private static final Config config = new Config("configs/local.config");
+    private static final String DATASETS = config.getString("input.datasets");
+    private static final String TMP = config.getString("output.tmp");
+
+    public static void main(String[] args) throws Exception{
+        test1();
+    }
+
+    private static void test1() throws Exception{
+        ClfDataSet dataSet = TRECFormat.loadClfDataSet(new File(DATASETS, "/imdb/train.trec"),
+                DataSetType.CLF_SPARSE, true);
+        SeedExtractor extractor = new SeedExtractor(dataSet);
+        System.out.println(extractor.getSeeds(0,100));
+    }
+
+}
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add class SeedExtractor