Package org.grouplens.lenskit.core

Examples of org.grouplens.lenskit.core.LenskitConfiguration

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     * @return The LensKit configuration.
     * @see ConfigurationLoader#load(groovy.lang.Closure)
     */
    public static LenskitConfiguration load(Closure<?> block) throws RecommenderConfigurationException {
        Preconditions.checkNotNull(block, "Configuration block");
        LenskitConfiguration config = new LenskitConfiguration();
        configure(config, block);
        return config;
    }
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        dao = EventCollectionDAO.create(rs);
    }

    @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);
        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);

        return LenskitRecommenderEngine.build(config);
    }
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     * Test whether we can build a recommender with predict-time updates.
     */
    @SuppressWarnings("unchecked")
    @Test
    public void testPredictUpdates() throws RecommenderBuildException {
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        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.set(IterationCount.class)
              .to(10);
        config.bind(RuntimeUpdate.class, FunkSVDUpdateRule.class)
              .to(FunkSVDUpdateRule.class);

        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);

        LenskitRecommender rec = engine.createRecommender();
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        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);
        config.bind(ItemItemBuildContext.class)
              .toProvider(ItemwiseBuildContextProvider.class);
        // this is the default
//        factory.setComponent(UserVectorNormalizer.class, VectorNormalizer.class,
//                             IdentityVectorNormalizer.class);
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        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);
        // this is the default
//        factory.setComponent(UserVectorNormalizer.class, VectorNormalizer.class,
//                             IdentityVectorNormalizer.class);

        engine = LenskitRecommenderEngine.build(config);
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        rs.add(Ratings.make(4, 1, 1));
        rs.add(Ratings.make(4, 5, 1));
        rs.add(Ratings.make(4, 7, 1));
        rs.add(Ratings.make(4, 10, 1));
        EventCollectionDAO dao = new EventCollectionDAO(rs);
        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(GlobalItemScorer.class).to(ItemItemGlobalScorer.class);
        // this is the default
        config.bind(UserVectorNormalizer.class)
              .to(DefaultUserVectorNormalizer.class);
        config.bind(VectorNormalizer.class)
              .to(IdentityVectorNormalizer.class);
        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);
        session = engine.createRecommender();
        gRecommender = session.getGlobalItemRecommender();
    }
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    /**
     * Construct a new delegate with an empty configuration.
     */
    public LenskitConfigDSL(ConfigurationLoader loader) {
        this(loader, new LenskitConfiguration());
    }
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Related Classes of org.grouplens.lenskit.core.LenskitConfiguration

  • org.grouplens.grapht.BindingFunctionBuilder
  • org.grouplens.lenskit.cli.InputData$PackedInput
  • org.grouplens.lenskit.cli.InputData$TextInput
  • org.grouplens.lenskit.cli.TrainModel
  • org.grouplens.lenskit.config.ConfigHelpers
  • org.grouplens.lenskit.config.LenskitConfigDSL
  • org.grouplens.lenskit.eval.algorithm.AlgorithmInstanceBuilder
  • org.grouplens.lenskit.eval.graph.DumpGraphTask
  • org.grouplens.lenskit.eval.metrics.topn.ItemSelectorsTest
  • org.grouplens.lenskit.eval.TrainModelTask
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