Package org.grouplens.lenskit.data.dao

Examples of org.grouplens.lenskit.data.dao.EventDAO

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        rs.add(rating(4, 10, 4, 1));
        rs.add(rating(7, 10, 4, 1));
        rs.add(rating(1, 11, 5, 1));
        rs.add(rating(3, 11, 5, 2));
        rs.add(rating(4, 11, 5, 1));
        EventDAO dao = EventCollectionDAO.create(rs);
        snap = new PackedPreferenceSnapshotBuilder(dao, new Random()).get();
    }
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        rs.add(Ratings.make(1, 5, 2));
        rs.add(Ratings.make(1, 7, 4));
        rs.add(Ratings.make(8, 4, 5));
        rs.add(Ratings.make(8, 5, 4));

        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(SlopeOneItemScorer.class);
        config.bind(PreferenceDomain.class).to(new PreferenceDomain(1, 5));
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    @Override
    public void execute() throws IOException {
        logger.info("packing ratings from {}", input);
        logger.debug("using delimiter {}", getDelimiter());
        EventDAO dao = input.getEventDAO();
        EnumSet<BinaryFormatFlag> flags = EnumSet.noneOf(BinaryFormatFlag.class);
        if (useTimestamps()) {
            flags.add(BinaryFormatFlag.TIMESTAMPS);
        }
        logger.info("packing to {} with flags {}", getOutputFile(), flags);
        Closer closer = Closer.create();
        try {
            BinaryRatingPacker packer = closer.register(BinaryRatingPacker.open(getOutputFile(), flags));
            Cursor<Rating> ratings = closer.register(dao.streamEvents(Rating.class));
            packer.writeRatings(ratings);
            logger.info("packed {} ratings", packer.getRatingCount());
        } catch (Throwable th) {
            throw closer.rethrow(th);
        } finally {
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        List<Rating> rs = new ArrayList<Rating>();
        rs.add(Ratings.make(1, 5, 2));
        rs.add(Ratings.make(1, 7, 4));
        rs.add(Ratings.make(8, 4, 5));
        rs.add(Ratings.make(8, 5, 4));
        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemItemModel.class).toProvider(NormalizingItemItemModelBuilder.class);
        config.bind(ItemScorer.class).to(ItemItemScorer.class);
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        rs.add(Ratings.make(1, 5, 2));
        rs.add(Ratings.make(1, 7, 4));
        rs.add(Ratings.make(8, 4, 5));
        rs.add(Ratings.make(8, 5, 4));

        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(LiveNeighborFinder.class);
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        rs.add(Ratings.make(1, 5, 2));
        rs.add(Ratings.make(1, 7, 4));
        rs.add(Ratings.make(8, 4, 5));
        rs.add(Ratings.make(8, 5, 4));

        EventDAO dao = EventCollectionDAO.create(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(SnapshotNeighborFinder.class);
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        rs.add(Ratings.make(5, 6, 4));
        rs.add(Ratings.make(6, 6, 2));
        rs.add(Ratings.make(1, 6, 3));
        rs.add(Ratings.make(3, 6, 4));

        final EventDAO dao = EventCollectionDAO.create(rs);
        final Provider<PackedPreferenceSnapshot> provider = new PackedPreferenceSnapshotBuilder(dao, new Random());
        snapshot = provider.get();
        final StoppingCondition stop = new ThresholdStoppingCondition(0.1, 10);

        final double regFactor = 0.001;
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        rs.add(Ratings.make(6, 8, 2));
        rs.add(Ratings.make(1, 9, 3));
        rs.add(Ratings.make(3, 9, 4));
        rs.add(Ratings.make(6, 9, 4));
        rs.add(Ratings.make(5, 9, 4));
        EventDAO dao = new EventCollectionDAO(rs);
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(LiveNeighborFinder.class);
        config.within(UserSimilarity.class)
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        List<Rating> rs = new ArrayList<Rating>();
        rs.add(Ratings.make(1, 5, 2));
        rs.add(Ratings.make(1, 7, 4));
        rs.add(Ratings.make(8, 4, 5));
        rs.add(Ratings.make(8, 5, 4));
        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(ItemItemScorer.class);
        config.bind(GlobalItemScorer.class).to(ItemItemGlobalScorer.class);
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        List<Rating> rs = new ArrayList<Rating>();
        rs.add(Ratings.make(1, 5, 2));
        rs.add(Ratings.make(1, 7, 4));
        rs.add(Ratings.make(8, 4, 5));
        rs.add(Ratings.make(8, 5, 4));
        EventDAO dao = new EventCollectionDAO(rs);

        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(ItemItemScorer.class);
        config.bind(GlobalItemScorer.class).to(ItemItemGlobalScorer.class);
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Related Classes of org.grouplens.lenskit.data.dao.EventDAO

  • org.grouplens.lenskit.baseline.LeastSquaresItemScorerTest
  • org.grouplens.lenskit.cli.PackRatings
  • org.grouplens.lenskit.data.snapshot.PackedPreferenceSnapshotTest
  • org.grouplens.lenskit.knn.item.ItemItemRecommenderBuildTest
  • org.grouplens.lenskit.knn.item.ItemwiseRecommenderBuildTest
  • org.grouplens.lenskit.knn.item.model.NormalizingItemItemRecommenderBuildTest
  • org.grouplens.lenskit.knn.user.UserUserRecommenderBuildTest
  • org.grouplens.lenskit.knn.user.UserUserRecommenderTest
  • org.grouplens.lenskit.slopeone.SlopeOneItemRecommenderTest
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