@Test
public void testOneUserTrecevalStrategyMultipleRelevance() {
// groundtruth: ? 0 1 2
// predictions: 3 4 5 1
DataModel<Long, Long> test = new DataModel<Long, Long>();
DataModel<Long, Long> predictions = new DataModel<Long, Long>();
test.addPreference(1L, 2L, 0.0);
test.addPreference(1L, 3L, 1.0);
test.addPreference(1L, 4L, 2.0);
predictions.addPreference(1L, 1L, 3.0);
predictions.addPreference(1L, 2L, 4.0);
predictions.addPreference(1L, 3L, 5.0);
predictions.addPreference(1L, 4L, 1.0);
MAP<Long, Long> map = new MAP<Long, Long>(predictions, test, 1.0, new int[] {1, 2, 3, 4, 5});
map.compute();
assertEquals(0.75, map.getValue(), 0.001);
assertEquals(0.5, map.getValueAt(1), 0.001);
assertEquals(0.5, map.getValueAt(2), 0.001);
assertEquals(0.5, map.getValueAt(3), 0.001);
assertEquals(0.75, map.getValueAt(4), 0.001);
assertEquals(0.75, map.getValueAt(5), 0.001);
Map<Long, Double> mapPerUser = map.getValuePerUser();
for (Map.Entry<Long, Double> e : mapPerUser.entrySet()) {
long user = e.getKey();
double value = e.getValue();
assertEquals(0.75, value, 0.001);
}
}
@Test
public void testSameGroundtruthAsPredictions() {
DataModel<Long, Long> predictions = new DataModel<Long, Long>();
DataModel<Long, Long> test = new DataModel<Long, Long>();
int nUsers = 20;
int nItems = 15;
for (long i = 1L; i < nUsers + 1; i++) {
for (long j = 1L; j < nItems + 1; j++) {
test.addPreference(i, j, i * j % 5 + 1.0);
predictions.addPreference(i, j, i * j % 5 + 1.0);
}
}
MAP<Long, Long> map = new MAP<Long, Long>(predictions, test, 1.0, new int[] {1, 5, 10, 20});
map.compute();
assertEquals(1.0, map.getValue(), 0.0);
assertEquals(1.0 / nItems, map.getValueAt(1), 0.0001);
assertEquals(1.0 / nItems * 5, map.getValueAt(5), 0.0001);
assertEquals(1.0 / nItems * 10, map.getValueAt(10), 0.0001);
Map<Long, Double> mapPerUser = map.getValuePerUser();
for (Map.Entry<Long, Double> e : mapPerUser.entrySet()) {
long user = e.getKey();
double value = e.getValue();
assertEquals(1.0, value, 0.0);
}
}