Package org.grouplens.lenskit.core

Examples of org.grouplens.lenskit.core.LenskitRecommenderEngine

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            builder.addConfiguration(config);
        }
        builder.addConfiguration(dataConfig, ModelDisposition.EXCLUDED);

        Stopwatch timer = Stopwatch.createStarted();
        LenskitRecommenderEngine engine = builder.build();
        timer.stop();
        logger.info("built model in {}", timer);
        File output = getOutputFile();
        CompressionMode comp = CompressionMode.autodetect(output);
        logger.info("writing model to {}", output);
        Closer closer = Closer.create();
        try {
            OutputStream stream = closer.register(new FileOutputStream(output));
            stream = closer.register(comp.wrapOutput(stream));
            engine.write(stream);
        } catch (Throwable th) {
            throw closer.rethrow(th);
        } finally {
            closer.close();
        }
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        // 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();
        recommender = session.getItemRecommender();
    }
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        LenskitConfiguration config = new LenskitConfiguration();
        config.bind(EventDAO.class).to(dao);
        config.bind(ItemScorer.class).to(UserUserItemScorer.class);
        config.bind(NeighborFinder.class).to(SnapshotNeighborFinder.class);

        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);
        Recommender rec = engine.createRecommender();
        assertThat(rec.getItemScorer(),
                   instanceOf(UserUserItemScorer.class));
        assertThat(rec.getItemRecommender(),
                   instanceOf(TopNItemRecommender.class));
        RatingPredictor pred = rec.getRatingPredictor();
        assertThat(pred, instanceOf(SimpleRatingPredictor.class));

        Recommender rec2 = engine.createRecommender();
        assertThat(rec2.getItemScorer(), not(sameInstance(rec.getItemScorer())));
    }
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              .to(PearsonCorrelation.class);
        // this is the default
/*        factory.setComponent(UserVectorNormalizer.class,
                             VectorNormalizer.class,
                             IdentityVectorNormalizer.class);*/
        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);
        rec = engine.createRecommender();
    }
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    }

    @SuppressWarnings("deprecation")
    @Test
    public void testFunkSVDRecommenderEngineCreate() throws RecommenderBuildException {
        LenskitRecommenderEngine engine = makeEngine();
        Recommender rec = engine.createRecommender();

        assertThat(rec.getItemScorer(),
                   instanceOf(FunkSVDItemScorer.class));
        assertThat(rec.getItemRecommender(),
                   instanceOf(TopNItemRecommender.class));
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                   nullValue());
    }

    @Test
    public void testFeatureInfo() throws RecommenderBuildException {
        LenskitRecommenderEngine engine = makeEngine();
        LenskitRecommender rec = engine.createRecommender();

        FunkSVDModel model = rec.get(FunkSVDModel.class);
        assertThat(model, notNullValue());
        assertThat(model.getFeatureInfo().size(),
                   equalTo(20));
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        }
    }

    @Test
    public void testConfigSeparation() throws RecommenderBuildException {
        LenskitRecommenderEngine engine = makeEngine();
        LenskitRecommender rec1 = null;
        LenskitRecommender rec2 = null;
        rec1 = engine.createRecommender();
        rec2 = engine.createRecommender();

        assertThat(rec1.getItemScorer(),
                   not(sameInstance(rec2.getItemScorer())));
        assertThat(rec1.get(FunkSVDModel.class),
                   sameInstance(rec2.get(FunkSVDModel.class)));
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        config.set(IterationCount.class)
              .to(10);
        config.bind(RuntimeUpdate.class, FunkSVDUpdateRule.class)
              .to(FunkSVDUpdateRule.class);

        LenskitRecommenderEngine engine = LenskitRecommenderEngine.build(config);

        LenskitRecommender rec = engine.createRecommender();
        ItemScorer scorer = rec.getItemScorer();
        assertThat(scorer, instanceOf(FunkSVDItemScorer.class));
        FunkSVDItemScorer fsvd = (FunkSVDItemScorer) scorer;
        assertThat(fsvd.getUpdateRule(),
                   not(nullValue()));
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        // 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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Related Classes of org.grouplens.lenskit.core.LenskitRecommenderEngine

  • org.grouplens.grapht.solver.DependencySolver
  • org.grouplens.lenskit.cli.TrainModel
  • org.grouplens.lenskit.inject.RecommenderGraphBuilder
  • org.grouplens.lenskit.knn.item.ItemItemGlobalRecommenderTest
  • org.grouplens.lenskit.knn.item.ItemItemRecommenderTest
  • org.grouplens.lenskit.knn.user.UserUserRecommenderBuildTest
  • org.grouplens.lenskit.knn.user.UserUserRecommenderTest
  • org.grouplens.lenskit.mf.funksvd.FunkSVDRecommenderBuildTest
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