ScoreTest.java

package water.score;

import java.io.*;
import java.util.HashMap;
import org.junit.Assert;
import org.junit.Test;
import water.parser.PMMLParser;
import water.*;

public class ScoreTest extends TestUtil {
  static final HashMap<String, Comparable> ROW;
  static {
    ROW = new HashMap<String, Comparable>();
    ROW.put("id", "80457298");
    ROW.put("name", "AOS");
    ROW.put("age", "71");
    ROW.put("income", 399L);
  }

  @Test
  public void testScorecard() throws Exception {
    File file = find_test_file("smalldata/pmml/SampleScorecard.pmml");
    ScorecardModel scm = (ScorecardModel)PMMLParser.parse(new FileInputStream(file));
    Assert.assertEquals(5.505753, scm.score_interpreter(ROW), 1e-6);
    Assert.assertEquals(5.505753, scm.score(ROW), 1e-6);
  }

  // Load and score a simple PMML RF model against the iris dataset.
  //@Test
  //public void testRandomForest1() throws Exception {
  //  // The 1-tree set scores with 2 errors.
  //  // The 500-tree set scores perfectly, takes slightly long to load.
  //  //File file = find_test_file("smalldata/pmml/iris_rf_500trees.pmml");
  //  File file = find_test_file("smalldata/pmml/iris_rf_1tree.pmml");
  //  //File file = find_test_file("smalldata/pmml/cars-cater-rf-1tree.pmml");
  //  RFScoreModel rfm = (RFScoreModel)PMMLParser.parse(new BufferedInputStream(new FileInputStream(file)));
  //
  //  Key irisk = loadAndParseFile("iris.hex","smalldata/iris/iris2.csv");
  //  ValueArray ary = DKV.get(irisk).get();
  //  AutoBuffer bits = ary.getChunk(0);
  //  int rows = ary.rpc(0);
  //  int errs = 0;
  //  for( int i=0; i<rows; i++ ) {
  //    HashMap<String,Comparable> row = new HashMap();
  //    for( int j=0; j<ary._cols.length; j++ )
  //      row.put(ary._cols[j]._name,ary.datad(bits,i,j));
  //    int pr = (int)rfm.score(row);
  //    int ac = (int)ary.data(bits,i,4);
  //    if( pr != ac )
  //      errs++;
  //  }
  //  Assert.assertEquals(2,errs);
  //  ary.delete();
  //}
}