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Posted to commits@mahout.apache.org by sr...@apache.org on 2012/07/14 20:59:16 UTC
svn commit: r1361573 - in
/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl:
TasteTestCase.java eval/GenericRecommenderIRStatsEvaluatorImplTest.java
Author: srowen
Date: Sat Jul 14 18:59:15 2012
New Revision: 1361573
URL: http://svn.apache.org/viewvc?rev=1361573&view=rev
Log:
Added quick test for boolean eval
Modified:
mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/TasteTestCase.java
mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/eval/GenericRecommenderIRStatsEvaluatorImplTest.java
Modified: mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/TasteTestCase.java
URL: http://svn.apache.org/viewvc/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/TasteTestCase.java?rev=1361573&r1=1361572&r2=1361573&view=diff
==============================================================================
--- mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/TasteTestCase.java (original)
+++ mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/TasteTestCase.java Sat Jul 14 18:59:15 2012
@@ -19,6 +19,8 @@ package org.apache.mahout.cf.taste.impl;
import com.google.common.collect.Lists;
import org.apache.mahout.cf.taste.impl.common.FastByIDMap;
+import org.apache.mahout.cf.taste.impl.common.FastIDSet;
+import org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel;
import org.apache.mahout.common.MahoutTestCase;
import org.apache.mahout.cf.taste.impl.model.GenericDataModel;
import org.apache.mahout.cf.taste.impl.model.GenericPreference;
@@ -47,6 +49,22 @@ public abstract class TasteTestCase exte
return new GenericDataModel(result);
}
+ public static DataModel getBooleanDataModel(long[] userIDs, boolean[][] prefs) {
+ FastByIDMap<FastIDSet> result = new FastByIDMap<FastIDSet>();
+ for (int i = 0; i < userIDs.length; i++) {
+ FastIDSet prefsSet = new FastIDSet();
+ for (int j = 0; j < prefs[i].length; j++) {
+ if (prefs[i][j]) {
+ prefsSet.add(j);
+ }
+ }
+ if (!prefsSet.isEmpty()) {
+ result.put(userIDs[i], prefsSet);
+ }
+ }
+ return new GenericBooleanPrefDataModel(result);
+ }
+
protected static DataModel getDataModel() {
return getDataModel(
new long[] {1, 2, 3, 4},
@@ -58,6 +76,16 @@ public abstract class TasteTestCase exte
});
}
+ protected static DataModel getBooleanDataModel() {
+ return getBooleanDataModel(new long[] {1, 2, 3, 4},
+ new boolean[][] {
+ {false, true, false},
+ {false, true, true, false},
+ {true, false, false, true},
+ {true, false, true, true},
+ });
+ }
+
protected static boolean arrayContains(long[] array, long value) {
for (long l : array) {
if (l == value) {
Modified: mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/eval/GenericRecommenderIRStatsEvaluatorImplTest.java
URL: http://svn.apache.org/viewvc/mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/eval/GenericRecommenderIRStatsEvaluatorImplTest.java?rev=1361573&r1=1361572&r2=1361573&view=diff
==============================================================================
--- mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/eval/GenericRecommenderIRStatsEvaluatorImplTest.java (original)
+++ mahout/trunk/core/src/test/java/org/apache/mahout/cf/taste/impl/eval/GenericRecommenderIRStatsEvaluatorImplTest.java Sat Jul 14 18:59:15 2012
@@ -18,12 +18,18 @@
package org.apache.mahout.cf.taste.impl.eval;
import org.apache.mahout.cf.taste.common.TasteException;
+import org.apache.mahout.cf.taste.eval.DataModelBuilder;
import org.apache.mahout.cf.taste.eval.IRStatistics;
import org.apache.mahout.cf.taste.eval.RecommenderBuilder;
import org.apache.mahout.cf.taste.eval.RecommenderIRStatsEvaluator;
import org.apache.mahout.cf.taste.impl.TasteTestCase;
+import org.apache.mahout.cf.taste.impl.common.FastByIDMap;
+import org.apache.mahout.cf.taste.impl.model.GenericBooleanPrefDataModel;
+import org.apache.mahout.cf.taste.impl.recommender.GenericBooleanPrefItemBasedRecommender;
import org.apache.mahout.cf.taste.impl.recommender.slopeone.SlopeOneRecommender;
+import org.apache.mahout.cf.taste.impl.similarity.LogLikelihoodSimilarity;
import org.apache.mahout.cf.taste.model.DataModel;
+import org.apache.mahout.cf.taste.model.PreferenceArray;
import org.apache.mahout.cf.taste.recommender.Recommender;
import org.junit.Test;
@@ -49,6 +55,33 @@ public final class GenericRecommenderIRS
}
@Test
+ public void testBoolean() throws Exception {
+ DataModel model = getBooleanDataModel();
+ RecommenderBuilder builder = new RecommenderBuilder() {
+ @Override
+ public Recommender buildRecommender(DataModel dataModel) {
+ return new GenericBooleanPrefItemBasedRecommender(dataModel, new LogLikelihoodSimilarity(dataModel));
+ }
+ };
+ DataModelBuilder dataModelBuilder = new DataModelBuilder() {
+ @Override
+ public DataModel buildDataModel(FastByIDMap<PreferenceArray> trainingData) {
+ return new GenericBooleanPrefDataModel(GenericBooleanPrefDataModel.toDataMap(trainingData));
+ }
+ };
+ RecommenderIRStatsEvaluator evaluator = new GenericRecommenderIRStatsEvaluator();
+ IRStatistics stats = evaluator.evaluate(
+ builder, dataModelBuilder, model, null, 1, GenericRecommenderIRStatsEvaluator.CHOOSE_THRESHOLD, 1.0);
+
+ assertNotNull(stats);
+ assertEquals(0.666666666, stats.getPrecision(), EPSILON);
+ assertEquals(0.666666666, stats.getRecall(), EPSILON);
+ assertEquals(0.666666666, stats.getF1Measure(), EPSILON);
+ assertEquals(0.666666666, stats.getFNMeasure(2.0), EPSILON);
+ assertEquals(0.666666666, stats.getNormalizedDiscountedCumulativeGain(), EPSILON);
+ }
+
+ @Test
public void testIRStats() {
IRStatistics stats = new IRStatisticsImpl(0.3, 0.1, 0.2, 0.05, 0.15);
assertEquals(0.3, stats.getPrecision(), EPSILON);