Package org.grouplens.lenskit.core

Examples of org.grouplens.lenskit.core.LenskitConfiguration.bind()

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        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(PreferenceSnapshot.class).to(PackedPreferenceSnapshot.class);
        config.bind(ItemScorer.class).to(FunkSVDItemScorer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(Integer.class).withQualifier(FeatureCount.class).to(100);
        // FIXME: Don't use 100 features.
        RecommenderEngine engine = LenskitRecommenderEngine.build(config);
        svdRecommender = engine.createRecommender();
        recommender = svdRecommender.getItemRecommender();
    }
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        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)
              .bind(VectorSimilarity.class)
              .to(PearsonCorrelation.class);
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        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)
              .bind(VectorSimilarity.class)
              .to(PearsonCorrelation.class);
        // this is the default
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        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)
              .bind(VectorSimilarity.class)
              .to(PearsonCorrelation.class);
        // this is the default
/*        factory.setComponent(UserVectorNormalizer.class,
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    }

    @SuppressWarnings({"deprecation", "unchecked"})
    private LenskitRecommenderEngine makeEngine() throws RecommenderBuildException {
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(PreferenceSnapshot.class)
              .to(PackedPreferenceSnapshot.class);
        config.bind(ItemScorer.class)
              .to(FunkSVDItemScorer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
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    @SuppressWarnings({"deprecation", "unchecked"})
    private LenskitRecommenderEngine makeEngine() throws RecommenderBuildException {
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(PreferenceSnapshot.class)
              .to(PackedPreferenceSnapshot.class);
        config.bind(ItemScorer.class)
              .to(FunkSVDItemScorer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
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    private LenskitRecommenderEngine makeEngine() throws RecommenderBuildException {
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(PreferenceSnapshot.class)
              .to(PackedPreferenceSnapshot.class);
        config.bind(ItemScorer.class)
              .to(FunkSVDItemScorer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(UserMeanBaseline.class, ItemScorer.class)
              .to(ItemMeanRatingItemScorer.class);
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        config.bind(EventDAO.class).to(dao);
        config.bind(PreferenceSnapshot.class)
              .to(PackedPreferenceSnapshot.class);
        config.bind(ItemScorer.class)
              .to(FunkSVDItemScorer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(UserMeanBaseline.class, ItemScorer.class)
              .to(ItemMeanRatingItemScorer.class);
        config.bind(StoppingCondition.class)
              .to(IterationCountStoppingCondition.class);
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              .to(PackedPreferenceSnapshot.class);
        config.bind(ItemScorer.class)
              .to(FunkSVDItemScorer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(UserMeanBaseline.class, ItemScorer.class)
              .to(ItemMeanRatingItemScorer.class);
        config.bind(StoppingCondition.class)
              .to(IterationCountStoppingCondition.class);
        config.set(IterationCount.class)
              .to(10);
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              .to(FunkSVDItemScorer.class);
        config.bind(BaselineScorer.class, ItemScorer.class)
              .to(UserMeanItemScorer.class);
        config.bind(UserMeanBaseline.class, ItemScorer.class)
              .to(ItemMeanRatingItemScorer.class);
        config.bind(StoppingCondition.class)
              .to(IterationCountStoppingCondition.class);
        config.set(IterationCount.class)
              .to(10);
        config.set(FeatureCount.class)
              .to(20);
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