Package it.unimi.dsi.fastutil.longs

Examples of it.unimi.dsi.fastutil.longs.LongCollection

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        assertThat(snap.getRatings(), hasSize(20));
    }

    @Test
    public void testGetUserIds() {
        LongCollection users = snap.getUserIds();
        assertTrue(users.contains(1));
        assertTrue(users.contains(3));
        assertTrue(users.contains(4));
        assertTrue(users.contains(5));
        assertTrue(users.contains(6));
        assertTrue(users.contains(7));
    }
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        assertTrue(users.contains(7));
    }

    @Test
    public void testGetItemIds() {
        LongCollection items = snap.getItemIds();
        assertEquals(5, items.size());
        assertTrue(items.contains(7));
        assertTrue(items.contains(8));
        assertTrue(items.contains(9));
        assertTrue(items.contains(10));
        assertTrue(items.contains(11));
    }
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        final long uid = user.getUserId();
        SparseVector urs = summarizer.summarize(user);
        final ImmutableSparseVector vector = normalizer.normalize(user.getUserId(), urs, null)
                                                 .freeze();

        LongCollection qset = items;
        if (vector.size() < qset.size()) {
            qset = vector.keySet();
        }
        final LongSet candidates = new LongOpenHashSet();
        for (LongIterator iter = qset.iterator(); iter.hasNext();) {
            final long item = iter.nextLong();
            LongSet users = snapshot.getItemUsers(item);
            if (users != null) {
                candidates.addAll(users);
            }
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    TrainingEstimator(PreferenceSnapshot snap, ItemScorer baseline, PreferenceDomain dom) {
        ratings = snap.getRatings();
        domain = dom;
        estimates = new double[ratings.size()];

        final LongCollection userIds = snap.getUserIds();
        LongIterator userIter = userIds.iterator();
        while (userIter.hasNext()) {
            long uid = userIter.nextLong();
            SparseVector rvector = snap.userRatingVector(uid);
            MutableSparseVector blpreds = MutableSparseVector.create(rvector.keySet());
            baseline.score(uid, blpreds);
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Related Classes of it.unimi.dsi.fastutil.longs.LongCollection

  • org.grouplens.lenskit.data.snapshot.PackedPreferenceSnapshotTest
  • org.grouplens.lenskit.knn.user.SnapshotNeighborFinder
  • org.grouplens.lenskit.mf.funksvd.TrainingEstimator
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